ACM DL

ACM Transactions on

Design Automation of Electronic Systems (TODAES)

Menu
Latest Articles

Streaming Sorting Networks

Sorting is a fundamental problem in computer science and has been studied extensively. Thus, a large variety of sorting methods exist for both software and hardware implementations. For the latter, there is a trade-off between the throughput achieved and the cost (i.e., the logic and storage invested to sort n elements). Two popular solutions are... (more)

Statistical Rare-Event Analysis and Parameter Guidance by Elite Learning Sample Selection

Accurately estimating the failure region of rare events for memory-cell and analog circuit blocks under process variations is a challenging task. In... (more)

Construction of Reconfigurable Clock Trees for MCMM Designs Using Mode Separation and Scenario Compression

The clock networks of many modern circuits have to operate in multiple corners and multiple modes... (more)

A Hardware-Assisted Energy-Efficient Processing Model for Activity Recognition Using Wearables

Wearables are being widely utilized in health and wellness applications, primarily due to the recent... (more)

Power, Area, and Performance Optimization of Standard Cell Memory Arrays Through Controlled Placement

Embedded memory remains a major bottleneck in current integrated circuit design in terms of silicon... (more)

On Battery Recovery Effect in Wireless Sensor Nodes

With the perennial demand for longer runtime of battery-powered Wireless Sensor Nodes (WSNs),... (more)

Accurate Modeling of Nonideal Low-Power PWM DC-DC Converters Operating in CCM and DCM using Enhanced Circuit-Averaging Techniques

The development of enhanced modeling techniques for the simulation of switched-mode Pulse Width... (more)

Cyber-Physical Co-Simulation Framework for Smart Cells in Scalable Battery Packs

This article introduces a Cyber-physical Co-Simulation Framework (CPCSF) for design and analysis of... (more)

FORTIS

With the advent of globalization in the semiconductor industry, it is necessary to prevent unauthorized usage of third-party IPs (3PIPs), cloning and unwanted modification of 3PIPs, and unauthorized production of ICs. Due to the increasing complexity of ICs, system-on-chip (SoC) designers use various 3PIPs in their design to reduce time-to-market... (more)

Timing Path-Driven Cycle Cutting for Sequential Controllers

Power and performance optimization of integrated circuits is performed by timing-driven algorithms that operate on directed acyclic graphs. Sequential... (more)

Hierarchical Statistical Leakage Analysis and Its Application

In this article, we investigate a hierarchical statistical leakage analysis (HSLA) design flow where module-level statistical leakage models supplied... (more)

Efficient Algorithms for Discrete Gate Sizing and Threshold Voltage Assignment Based on an Accurate Analytical Statistical Yield Gradient

In this article, we derive a simple and accurate expression for the change in timing yield due to a... (more)

NEWS

Best Paper Award: Congratulations to Chung-Wei Lin, Bowen Zheng, Qi Zhu, and Alberto Sangiovanni-Vincentelli on receiving the 2016 ACM TODAES Best Paper Award for their article titled Security-Aware Design Methodology and Optimization for Automotive Systems, ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 21, Issue 1, Article 18, November 2015.

ACM TODAES new page limit policy: Manuscripts must be formatted in the ACM Transactions format; a 25-page limit applies to the final paper. Rare exceptions are possible if recommended by the reviewers and approved by the Editorial Board.

ORCID is a community-based effort to create a global registry of unique researcher identifiers for the purpose of ensuring proper attribution of works to their creators. When you submit a manuscript for review, you will be presented with the opportunity to register for your ORCID.

Forthcoming Articles
CALM: Contention-Aware Latency-Minimal Application Mapping for Flattened Butterfly On-Chip Networks

With the emergence of many-core multiprocessor system-on-chips (MPSoCs), the on-chip networks are facing serious challenges in providing fast communication for various tasks and cores. One promising on-chip network design shown in recent studies is to add express channels to traditional mesh network as shortcuts to bypass intermediate routers, thereby reducing packet latency. This approach not only changes the packet latency models, but also greatly affects network traffic behav-iors, both of which have not been fully exploited in existing mapping algorithms. In this paper, we explore the opportunities in optimizing application mapping for flattened butterfly, a popular express channel-based on-chip network. Specifically, we identify the unique characteristics of flattened but-terfly, analyze the opportunities and new challenges, and propose an efficient heuristic mapping algorithm. The proposed algorithm Contention-Aware Latency Minimal (CALM) is able to reduce unnecessary turns that would otherwise impose additional router pipeline latency to packets, as well as adjust forwarding traffic to reduce network contention latency. Simulation results show that the proposed algorithm can achieve, on average, 3.4X reduction in the number of turns, 24.8% reduction in contention latency, and 14.12% reduction in the overall packet latency.

An Elastic Mixed-Criticality Task Model and Early-Release EDF Scheduling Algorithms

Most existing MC scheduling algorithms guarantee timely executions of high-criticality (HC) tasks at the expense of discarding low-criticality (LC) tasks, which can cause serious service interruption for such tasks. In this work, aiming at providing guaranteed services for LC tasks, we study an Elastic Mixed-Criticality (E-MC) task model for dual-criticality systems. Specifically, the model allows each LC task to specify its maximum period (i.e., minimum service level) and a set of early-release points. We propose an Early-Release (ER) mechanism that enables LC tasks be released more frequently and thus improve their service levels at runtime, with both conservative and aggressive approaches to exploiting system slack being considered, which is applied to both EDF and preference-oriented earliest-deadline (POED) schedulers. We formally prove the correctness of the proposed ER-EDF scheduler on guaranteeing the timeliness of all tasks through judicious management of the early releases of LC tasks. The proposed model and schedulers are evaluated through extensive simulations. The results show that, by moderately relaxing the service requirements of LC tasks in MC task sets (i.e., by having LC tasks maximum periods in the E-MC model be 2 to 3 times of their desired MC periods), most transformed E-MC task sets can be successfully scheduled without sacrificing the timeliness of HC tasks. Moreover, with the proposed ER mechanism, the runtime performance of tasks (e.g., execution frequencies of LC tasks, response times and jitters of HC tasks) can be significantly improved under the ER schedulers when compared to that of the state-of-the-art EDF-VD scheduler.

On the Restore Time Variations of Future DRAM Memory

As the de facto main memory standard, DRAM has achieved dramatic density improvement in the past four decades, along with the advancements in process technology. Recent studies reveal that one of the major challenges in scaling DRAM into deep sub-micron regime is its significant variations on cell restore time, which affect timing constraints such as write recovery time tWR. Adopting traditional approaches results in either low yield rate or large performance degradation. In this paper, we propose schemes to expose the variations to the architectural level. By constructing memory chunks with different access speeds and, in particular, exploiting the performance benefits of fast chunks, a variation-aware memory controller can effectively mitigate the performance loss due to relaxed timing constraints. We then proposed restore time aware rank construction and page allocation schemes to make better use of fast chunks. Our experimental results show that, comparing to traditional designs such as row sparing and ECC, the proposed schemes help to improve system performance by about 16% and 20%, respectively, for 20nm and 14nm technology nodes on a four-core multiprocessor system.

A Hybrid DRAM/PCM Buffer Cache Architecture for Smartphones with QoS Consideration

Flash memory is widely used in mobile phones to store contact information, applications files and other types of data. In an operating system, the buffer cache keeps the I/O blocks in DRAM to reduce the slow flash accesses. However, in smartphones, we observed two issues which reduce the benefits of the buffer cache. First, the bulk of synchronous writes frequently force the data being written to flash due to the reliability issues. Second, the large amount of I/O accesses from background applications diminishes the buffer cache efficiency of the foreground application, which degrades the user experience. In this paper, we propose a buffer cache architecture with hybrid DRAM/PCM memory, which improves the I/O performance and user experience for smartphones. We use a DRAM first-level buffer cache to provide high buffer cache performance and a PCM last-level buffer cache to reduce the impact of frequent synchronous writes. Based on the proposed hierarchical buffer cache architecture, we propose a sub-block management and background flush to reduce the impact of the PCM write limitation and the dirty block write-back overhead, respectively. To improve the user experience, we propose a Least-Recently-Activated first replacement policy (LRA) to keep the data from the applications that are most likely to become the foreground one. The experimental results show that with the proposed mechanisms, our hierarchical buffer cache can improve the I/O response time by 20% compared to the conventional buffer cache. The proposed LRA can improve the foreground application performance by 1.74x compared to the conventional CLOCK policy.

An Effective Floorplan-Guided Placement Algorithm for Large-Scale Mixed-Size Designs

Exploring Energy-Efficient Cache Design in Emerging Mobile Platforms

Mobile devices are quickly becoming the most widely used processors in consumer devices. Since their major power supply is battery, the energy-efficient computing is highly desired. In this paper, we focus on the energy-efficient cache design in emerging mobile platforms. We observe that more than 40% of L2 cache accesses are OS kernel accesses in interactive smartphone applications. Such frequent kernel accesses cause serious interferences between the user and kernel blocks in the L2 cache, leading to unnecessary block replacements and high L2 cache miss rate. We first propose to statically partition the L2 cache into two separate segments which can only be accessed by the user code and kernel code, respectively. Meanwhile, the overall size of the two segments is shrunk, which reduces the energy consumption while still maintains the similar cache miss rate. We then find completely different access behaviors between the two separated kernel and user segments, and explore the multi-retention STT-RAM based user and kernel segments to obtain higher energy savings in this static partition-based cache design. Finally, we propose to dynamically partition the L2 cache into the user and kernel segments to minimize the overall cache size. We also integrate the short-retention STT-RAM into this dynamic partition-based cache design for the maximal energy savings. The experimental results show that our static technique reduces the cache energy consumption by 75% with 2% performance loss, and our dynamic technique further shows the strong capability in reducing the cache energy consumption by 85% with only 3% performance loss.

An Adaptive Demand-Based Caching Mechanism for NAND Flash Memory Storage Systems

During past decades, the capacity of NAND flash memory has been increasing dramatically, leading to the use of non-volatile flash in the systems memory hierarchy. The increasing capacity of NAND flash memory introduces large RAMfootprint to store the logical to physical address mapping. The demand-based approach can effectively reduce and well control the RAM footprint. However, extra address translation overhead is also introduced which may degrade the system performance. In this paper, we present CDFTL, an adaptive Caching mechanism for Demand-based Flash Translation Layer, for NAND flash memory storage systems. CDFTL adopts both the fine-grained entry-based caching mechanismto exploit temporal locality and the coarse-grained translation-page-based cachingmechanism to exploit spatial locality of workloads. By selectively caching the on-demand address mappings and adaptively changing the space configurations of two granularities, CDFTL can effectively utilize the RAM space and improve the cache hit ratio. We evaluate CDFTL under a real hardware embedded platform using a variety of I/O traces. Experimental results show that our technique can achieve a 11.13% reduction in average system response time and a 35.21% reduction in translation block erase counts compared with the previous work.

A Fast and Scalable Multi-dimensional Multiple-choice Knapsack Heuristic

Security Analysis of Arbiter PUF and Its Lightweight Compositions Under Predictability Test

Unpredicatability is an important security feature of Physically Unclonable Function (PUF) in the context of statistical attacks, where the correlation between challenge-response pairs is explicitly exploited. In existing literature on PUFs, Hamming Distance test, denoted by HDT(t), was proposed to evaluate the unpredictability of PUFs, which is a simplified case of the Propagation Criterion test PC(t). The objective of these test schemes is to estimate the output transition probability when there are t or less than t bits flips, and ideally this probability value should be 0.5. In this work, we show that aforementioned two test schemes are not enough to ensure the unpredictability of a PUF design. We propose a new test which is denoted as HDT(e,t). This test scheme is a fine-tuned version of the previous schemes, as it considers the flipping bit pattern vector e along with parameter t. As a contribution, we provide a comprehensive discussion and analytic interpretation of the HDT(t), PC(t) and HDT(e,t) test schemes for Arbiter PUF (APUF), XOR PUF and Lightweight Secure PUF (LSPUF). Our analysis establishes that the HDT(e,t) test is more general in comparison with HDT(t) and PC(t) tests. In addition, we demonstrate scenarios where the adversary can exploit the information obtained from the analysis of HDT(e,t) properties of APUF, XOR PUF and LSPUF to develop statistical attacks on them, if the ideal value of HDT(e,t)=0.5 is not achieved for a given PUF. We validate our theoretical observations using the simulated and FPGA implemented APUF, XOR PUF and LSPUF designs.

Scrubbing Mechanism for Heterogeneous Applications in Reconfigurable Devices

Commercial off-the-shelf (COTS) reconfigurable devices have been recognized as one of the most suitable processing devices to be applied in nano-satellites, since they can satisfy and combine their most important requirements, namely processing performance, reconfigurability and low cost. However, COTS reconfigurable devices, in particular Static-RAM Field Programmable Gate Arrays (FPGAs), can be affected by cosmic radiation, compromising the overall nano-satellite reliability. Scrubbing has been proposed as a mechanism to repair faults in configuration memory. However, the current scrubbing mechanisms are predominantly static, unable to adapt to heterogeneous applications and their run-time variations. In this paper, a dynamically adaptive scrubbing mechanism is proposed. Through a window-based scrubbing scheduling, this mechanism adapts the scrubbing process to heterogeneous applications (composed by periodic/sporadic and streaming/DSP tasks), as well as their reconfigurations and modifications at runtime. Conducted simulation experiments show the feasibility and the efficiency of the proposed solution in terms of system reliability and memory overhead.

Worst-case Response Time Analysis of a Synchronous Dataflow Graph in a Multiprocessor System with Real-time Tasks

In this paper, we propose a novel technique that estimates a tight upper bound of worst case response time (WCRT) of a synchronous dataflow (SDF) graph when the SDF graph shares processors with other real time tasks. When an SDF graph is executed at run-time under a self-timed or static assignment scheduling policy on a multi-processor system, static scheduling of the SDF graph does not guarantee the satisfaction of the latency constraint since the timing anomaly behavior may happen. To estimate the WCRT of an SDF graph with a given mapping and scheduling result, we first construct a task instance dependency graph (TIDG) that depicts the dependency between node executions in a static schedule. The proposed technique combines two techniques in a novel way: schedule time bound analysis (STBA) and response time analysis (RTA). The former is used to consider the interference between task instances in the same SDF graph, and the latter is used to consider the interference from other real-time tasks. Based on the proposed WCRT analysis technique, in addition, we propose a genetic algorithm (GA) based framework to solve a design space exploration problem that aims to accommodate the maximum number of real time tasks in a given hardware platform. Through extensive experiments with synthetic examples and benchmarks, we verify the superior performance of the proposed technique compared to other existent techniques.

Multiprocessor Scheduling of a Multi-mode Dataflow Graph Considering Mode Transition Delay

Synchronous Data Flow (SDF) model is widely used for specifying signal processing or streaming applications. Since modern embedded applications become more complex with dynamic behavior changes at run-time, several extensions of the SDF model have been proposed to specify the dynamic behavior changes while preserving static analyzability of the SDF model. They assume that an application has a finite number of behaviors (or modes) and each behavior (mode) is represented by an SDF graph. They are classified as multi-mode dataflow models in this paper. While there exist several scheduling techniques for multi-mode dataflow models, no one allows task migration between modes. By observing that the resource requirement can be additionally reduced if task migration is allowed, we propose a multiprocessor scheduling technique of a multi-mode dataflow graph considering task migration between modes. Based on a genetic algorithm, the proposed technique schedules all SDF graphs in all modes simultaneously to minimize the resource requirement. To satisfy the throughput constraint, the proposed technique calculates the actual throughput requirement of each mode and the output buffer size for tolerating throughput jitter. We compare the proposed technique with a method which analyzes SDF graphs in each execution mode separately and a method that does not allow task migration for synthetic examples and three real applications: H.264 decoder, vocoder, and LTE receiver algorithms.

HoPE: Hot-cacheline Prediction for Dynamic Early Decompression in Compressed LLCs

Data compression plays a pivotal role in improving system performance and reducing energy consumption, because it increases the logical effective capacity of a compressed memory system without physically increasing the memory size. However, data compression techniques incur some cost, such as non-negligible compression and decompression overhead. This overhead becomes more severe if compression is used in the cache. In this paper, we aim to lower the read-hit decompression penalty, which significantly increases the cache memory access latency. We demonstrate that the speculative decompression of frequently used cachelines can significantly reduce the read-hit decompression penalty. We hereby propose a Hot-cacheline Prediction and Early decompression (HoPE) mechanism to determine when a compressed cacheline should be decompressed, in order to minimize the total execution time of the system. Additionally, we show that cachelines of similar compressibility often have a high correlation in their hit rates, as data with similar structures is often used in similar ways. Building on this insight, we also propose a compressed cacheline Hit-history-Based Insertion (HBI) policy to take advantage of this correlation, by predicting how often a cacheline will be hit, based on its compressibility. To evaluate the effectiveness of the proposed HoPE mechanism, we run extensive simulations on memory traces obtained from multi-threaded benchmarks running on a full-system simulation framework. We observe significant performance improvements over compressed cache schemes employing the conventional Least-Recently Used (LRU) replacement policy, the Dynamic Re-Reference Interval Prediction (DRRIP) scheme, and the ECM compressed cache management mechanism. Specifically, HoPE exhibits system performance improvements of approximately 11%, on average, over LRU, 8% over DRRIP, and 7% over ECM, by reducing the read-hit decompression penalty by around 65%, over a wide range of applications.

Computation of Seeds for LFSR-Based n-Detection Test Generation

This paper describes a new procedure that generates seeds for LFSR-based test generation when the goal is to produce an n-detection test set. The procedure does not use test cubes in order to avoid the situation where a seed does not exist for a given test cube with a given LFSR. Instead, the procedure starts from a set of seeds that produces a one-detection test set. It modifies seeds to obtain new seeds such that the tests they produce increase the numbers of detections of target faults. The modification procedure also increases the number of faults that each additional seed detects. Experimental results are presented to demonstrate the effectiveness of the procedure.

ERfair Scheduler with Processor Suspension for Real-Time Multiprocessor Embedded Systems

Proportional fair schedulers with their ability to provide optimal schedulability along with hard timeliness and QoS guarantees on multiprocessors, form an attractive alternative in real-time embedded systems that concurrently run a mix of independent applications with varying timeliness constraints. This paper presents "ERfair Scheduler with Suspension on Multiprocessors" (ESSM), an efficient, optimal proportional fair scheduler that attempts to reduce system wide energy consumption by locally maximizing the processor suspension intervals while not sacrificing the ERfairness timing constraints of the system. The proposed technique takes advantage of higher execution rates of tasks in underloaded ERfair systems and uses a procrastination scheme to search for time points within the schedule where suspension intervals are locally maximal. Evaluation results reveal that ESSM achieves good sleep efficiency and provides upto 50% higher effective total sleep durations as compared to the Basic-ERfair scheduler on systems consisting of 2 to 20 processors.

Non-enumerative Generation of Path Delay Distributions and its Application to Critical Path Selection

A Monte Carlo based approach is proposed capable of identifying in a path-implicit and scalable manner the distributions that describe the delay of every path in a combinational circuit. Furthermore, a scalable approach to select critical paths from a potentially exponential number of path candidates is presented. Paths and their delay distributions are stored in Zero Suppressed Binary Decision Diagrams. Experimental results on some of the largest ISCAS-89 and ITC-99 benchmarks shows that the proposed method is highly scalable and effective.

System Level Design Approaches to Security in Automotive Networks

With the increasing amount of interconnections between vehicles, the attack surface of internal vehicle networks is rising steeply. Although these networks are shielded against external attacks, they often do not have any internal security to protect against malicious components or adversaries who can breach the network perimeter. To secure the in-vehicle network, all communicating components must be authenticated, and only authorized components should be allowed to send and receive messages. This is achieved through an authentication framework. Cryptography is widely used to authenticate communicating parties and provide secure communication channels (e.g. Internet communication). However, real-time performance requirements of in-vehicle networks restrict the types of cryptographic algorithms and protocols that may be used. In particular, asymmetric cryptography is computationally infeasible during vehicle operation. In this work, we address the challenges of designing authentication protocols for automotive systems. We present Lightweight Authentication for Secure Automotive Networks (LASAN), a full life-cycle authentication approach. We describe the LASAN protocols and show how they protect the internal vehicle network while complying with the real-time constraints and low computational resources of this domain. Unlike previous work, we also explain how LASAN can be integrated into all aspects of the automotive product life cycle, including manufacturing and maintenance. We evaluate LASAN in two ways: Firstly, we analyze the security of the protocols using established protocol verication based on formal methods. Secondly, we evaluate the timing requirements of LASAN and compare these to other frameworks using a new discrete event simulator for in-vehicle networks.

A List of Fundamental Challenges Towards Making IoT a Reachable Reality: A Model-centric Investigation

The constantly advancing integration capability is paving the way to the construction of extremely large scale continuum of internet where entities, or things, from vastly varied domains are uniquely address- able and interacting seamlessly to form a giant networked system of systems, known as Internet-of-things (IoT). In contrast to such visionary networked system paradigm, prior research efforts on IoT are still very fragmented and confined to disjoint explorations in different application, architectural, security, services, protocol and economical domains, thus preventing the design exploration and optimization from a unified and global perspective. In this context, this survey article first proposes a mathematical modeling frame- work that is rich in expressivity to capture the IoT characteristics from a global perspective. Then a list of fundamental challenges in i) sensing , ii) decentralized computation, iii) energy-efficiency and iv) hardware security is identified and formulated based on the proposed modeling framework. The solutions are discussed to shed lights on future IoT system paradigm development.

PeaPaw: Performance and Energy Aware Partitioning of Workload on Heterogeneous Platforms

Performance and energy are two major concerns for application development on heterogeneous platforms. It is challenging for application developers to fully exploit the performance/energy potential of heterogeneous platforms. One reason is the lack of reliable prediction of the system's performance/energy before application implementation. Another reason is that a heterogeneous platform presents a large design space for workload partitioning between different processors. To reduce such development cost, this paper proposes a framework, PeaPaw, to assist application developers to identify a workload partition (WP) that has high potential leading to high performance or energy efficiency before actual implementation. The PeaPaw framework includes both analytical performance/energy models and two sets of workload partitioning guidelines. Based on the design goal, application developers can obtain a workload partitioning guideline from PeaPaw for a given platform and then follow it to design one or multiple WPs for a given workload. Then PeaPaw can be used to estimate the performance or energy of the designed WPs, and the WP with the best estimated performance or energy will be selected for further implementation. To demonstrate the effectiveness of PeaPaw, we have conducted three case studies. Results from these case studies show that PeaPaw can faithfully estimate the performance/energy relationships of WPs and provide effective workload partitioning guidelines.

A Model-Driven Engineering Methodology to Design Parallel and Distributed Embedded Systems

The design of the communication infrastructure of electronic systems has a significant impact on their cost, performance and time-to-market. However, the design and Design Space Exploration of communication protocols and patterns are typically subject to the design of processing operations (computations) and to their mapping onto execution resources. This strategy prevents to study and evaluate the impact of interdependencies between computations and communications (e.g., impact of application traffic patterns onto the communication interconnect). To solve this issue we introduce a novel design approach - the ¨-chart - where we design communication patterns and protocols independently of a systems application and platform, via dedicated models. At mapping step, the functionality of both application and communication models is associated to the platforms resources thus allowing for the joint Design Space Exploration of computations and communications. We present the overall design approach, the communication models and their implementation in TTool/DIPLODOCUS, a UML/SysML framework for the modeling, simulation, formal verification and automatic code generation of data-flow embedded systems. The effectiveness of our approach in terms of better design quality and Design Space Exploration is demonstrated with the design of the physical layer of a ZigBee (IEEE 802.15.4) transmitter onto a multi-processor architecture.

A Compact Implementation of Salsa20 and its Power Analysis Vulnerabilities

In this paper, we present a compact implementation of Salsa20 stream cipher that is targeted towards lightweight cryptographic devices such as RFID tags. The Salsa20 stream cipher, an ARX cipher, is used in high security cryptography in NEON instruction set embedded in ARM-based tablets and smartphones. The existing literature shows that though classical cryptanalysis has been effective on reduced rounds of Salsa20, the stream cipher is immune to software side-channel attacks such as branch timing and cache timing attacks. To the best of our knowledge, this work is the first to perform hardware power analysis attacks, where we evaluate the resistance of all the eight keywords in the proposed compact implementation of Salsa20. Our technique targets the three subrounds of the first round of the implemented Salsa20. The CPA attack has an attack complexity of $2^{19}$. Based on extensive experiments on a compact implementation of Salsa20, we demonstrate that all these keywords can be recovered within $20000$ queries on Salsa20. The attacks show a varying resilience of the key words against correlation power analysis (CPA) that has not yet been observed in any stream or block cipher in present literature. This makes the architecture of this stream cipher interesting from the side-channel analysis perspective. Also, we propose a light-weight countermeasure which mitigates the leakage in the power traces as shown in the results of Welch's $t$-test statistics. The hardware area overhead of the proposed countermeasure is only $14\%$ and is designed with compact implementation in mind.

DReAM: an Approach to Estimate Per-Task DRAM Energy in Multicore Systems

Per-task energy estimation in multicore systems would allow performing per-task energy-aware task scheduling and energy-aware billing in data centers, among other applications. Per-task energy estimation is challenged by the interaction between tasks in shared resources, which impacts tasks' energy consumption in uncontrolled ways. Some accurate mechanisms have been devised recently to estimate per-task energy consumed on-chip in multicores, but there is a lack of such mechanisms for DRAM memories. This paper makes the case for accurate per-task DRAM energy metering in multicores, which opens new paths to energy/performance optimizations. In particular, the contributions of this paper are (i) an ideal per-task energy metering model for DRAM memories; (ii) DReAM, an accurate, yet low cost, implementation of the ideal model (less than 5% accuracy error when 16 tasks share memory); and (iii) a comparison with standard methods (even distribution and access-count based) proving that DReAM is more accurate than these other methods

A Matlab Vectorizing Compiler Targeting Application Specific Instruction Set Processors

This paper discusses a MATLAB to C vectorizing compiler that exploits custom instructions e.g. for SIMD processing and instructions for complex arithmetic present in Application Specific Instruction Set Processors (ASIPs). Custom instructions are represented via specialized intrinsic functions in the generated code and the generated code can be used as input to any C/C++ compiler. Furthermore, the specialized instruction set of the target processor is described in a parameterized way using a target processor independent architecture description approach thus allowing the support of any processor. The proposed compiler has been used for the generation of application code for two different ASIPs for several benchmarks. The code generated by the proposed compiler achieves a speed up between 2x-10x and 2x-30x compared to the code generated by Mathworks MATLAB-to-C compiler. Experimental results also prove that the proposed compiler efficiently exploits SIMD custom instructions achieving a 3.3 factor speed up compared to cases where no SIMD processing is used. Thus the proposed compiler can be employed to reduce the development time / effort / cost and time to market through raising the abstraction of application design in an embedded systems / system-on-chip development context.

Scale&Cap: Scaling-Aware Resource Management for Consolidated Multi-threaded Applications

As the number of cores per server node increases, designing multi-threaded applications has become essential to efficiently utilize the available hardware parallelism. Many application domains have started to adopt multi-threaded programming; thus, the efficiently managing the execution of multi-threaded applications is also growing. Efficient execution of multi-threaded workloads on cloud environments, where applications are often consolidated by means of virtualization, relies on understanding the multi-threaded specific characteristics of the applications. Furthermore, energy cost and power delivery limitations require data center server nodes to work under power caps, which bring additional challenges to runtime management of consolidated multi-threaded applications. This paper proposes a dynamic resource allocation technique for consolidated multi-threaded applications for power-constrained environments. Our technique takes into account application characteristics specific to multi-threaded applications, such as power and performance scaling, to make resource distribution decisions at runtime to improve the overall performance, while accurately tracking dynamic power caps. We implement and evaluate our technique on state-of-the-art servers and show that the proposed technique improves the application performance by up to 24% under power cap compared to default resource manager.

Optimized Implementation of Multi-Rate Mixed-Criticality Synchronous Reactive Models

Model-based design using Synchronous Reactive (SR) models enables early verification of functionality, and helps to cope with the increasing complexity of modern embedded systems. Mixed-Criticality Scheduling (MCS) is an effective approach to addressing diverse certification requirements of safety-critical systems that integrate multiple subsystems with different levels of criticality. This paper considers fixed-priority scheduling of mixed-criticality SR models, and explores two scheduling techniques: one is based on Adaptive Mixed-Criticality scheduling, the other based on Elastic Mixed-Criticality Scheduling. We present a branchand- bound procedure and a heuristic algorithm to minimize the total system cost of functional delays in the implementation.

Hybrid Power Management for Office Equipment

Office machines (such as printers, scanners, fax, and copiers) can consume significant amounts of power. Most office machines have sleep modes to save power. Power management of these machines are usually timeout-based: a machine sleeps after being idle long enough. Setting the timeout duration can be difficult: if it is too long, the machine wastes power during idleness. If it is too short, the machine sleeps too soon and too often the wakeup delay can significantly degrade productivity. Thus, power management is a tradeoff between saving energy and keeping response time short. Many power management policies have been published and one policy may outperform another in some scenarios. There is no definite conclusion which policy is always better. This paper describes two methods for office equipment power management. The first method adaptively reduces power based on a constraint of the wakeup delay. The second method is a hybrid method with multiple candidate policies and it selects the most appropriate power management policy. Using six months of request traces from 18 different printers, we demonstrate that the hybrid policy outperforms individual policies. We also discover that power management based on business hours does not produce consistent energy savings.

A Survey of Parametric Dataflow Models of Computation

Dataflow models of computation (MoCs) are widely used to design embedded signal processing and streaming systems. Dozens of dataflow MoCs have been proposed in the few last decades. More recently, several parametric dataflow MoCs have been presented as an interesting trade-off between analyzability and expressiveness. The dynamism is controlled and takes the form of parameters (e.g., parametric rates) and run-time parameter configuration. This paper first strives to formalize or clarify criteria used to compare dataflow MoCs. It then provides a comprehensive description of the existing parametric dataflow MoCs (constructs, constraints, properties, static analyses) which may help designers of streaming applications to choose the most suitable model for their needs.

Critical-Path-Aware High-Level Synthesis with Distributed Controller for Fast Timing Closure

Secure and Flexible Trace-Based Debugging of Systems-on-Chip

This work tackles the conflict between securing assets in a system-on-chip (SoC) and observing the internal state of the SoC during trace-based debugging. On one hand, security objectives require that assets remain confidential throughout the SoC life-cycle. On the other hand, the SoC trace-based debug architecture exposes values of internal signals that can leak the assets to third-parties. We propose a secure trace-based debug infrastructure to resolve this conflict. The infrastructure tags each asset to identify its owner (who it can be exposed to during debug), and enhances the debug architecture with security features to enforce the confidentiality of assets. We implement a prototype of the enhanced debug architecture on FPGA to validate its functional correctness. ASIC evaluations show that our approach incurs area and power costs of 7% on a processor used in commodity SoCs.

Scalable SMT-based Equivalence Checking of Nested Loop Pipelining in Behavioral Synthesis

In this paper, we present a novel methodology based on SMT-solvers to verify equality of a high level described specification and a pipelined RTL implementation produced by a high level synthesis tool. The complex transformations existing in the high level synthesis process, such as nested loop pipelining, cause the conventional methods of equivalence checking to be inefficient. The proposed equivalence checking method attacks simultaneously to the two problems in this context: 1) state space explosion and 2) complex high level synthesis transformations. To show the scalability and efficiency of the proposed method, the verification results of large industrial designs are compared with those of the SAT-based method, including three different state-of-the-art SAT-solvers, the SMT-based procedure, the modular Horner expansion diagram (M-HED) based method, and the M-HED partitioning approach. The results show interesting improvements in terms of time and memory usage in comparison with other methods. Furthermore, using the proposed equivalence checking approach, fault tolerance issues can be formally analyzed in the presence of some faults in the designs.

Reducing the Complexity of Dataflow Graphs using Slack-based Merging

There exist many dataflow applications with timing constraints that require real-time guarantees on safe execution without violating their deadlines. Extraction of timing parameters (offsets, deadlines, periods) from these applications enables the use of real-time scheduling and analysis techniques, and provides guarantees on satisfying timing constraints. However, existing extraction techniques require the transformation of the dataflow application from highly expressive dataflow computational models, e.g., Synchronous Dataflow (SDF) and Cyclo-Static Dataflow (CSDF) to Homogeneous Synchronous Dataflow (HSDF). This transformation can lead to an exponential increase in the size of the application graph that significantly increases the run-time of the analysis. In this article, we address this problem by proposing an algorithm called slack-based merging that generates a reduced-size HSDF graph from a given SDF graph with timing constraints. This algorithm is based on a novel concept of merging called safe merge, which is a merge operation that we formally prove that it cannot cause a live HSDF graph to deadlock. The results show that the reduced graph: 1) respects the throughput and latency constraints of the original application graph and 2) typically speeds up the process of extracting timing parameters and finding a feasible real-time schedule for real-time dataflow applications. They also show that when the throughput constraint is relaxed with respect to the maximal throughput of the graph, the merging algorithm is able to achieve a larger reduction in graph size, which in turn results in a larger speed-up of the real-time scheduling algorithms.

Bibliometrics

Publication Years 1996-2016
Publication Count 874
Citation Count 4124
Available for Download 874
Downloads (6 weeks) 2419
Downloads (12 Months) 21209
Downloads (cumulative) 354219
Average downloads per article 405
Average citations per article 5
First Name Last Name Award
Iris Bahar ACM Distinguished Member (2012)
Robert Brayton ACM Paris Kanellakis Theory and Practice Award (2006)
Krishnendu Chakrabarty ACM Distinguished Member (2008)
ACM Senior Member (2006)
Danny Z Chen ACM Distinguished Member (2014)
ACM Senior Member (2011)
Nikil D. Dutt ACM Distinguished Member (2007)
Franz Franchetti ACM Senior Member (2015)
ACM Gordon Bell Prize (2006)
Soheil Ghiasi ACM Senior Member (2015)
Matthew Guthaus ACM Senior Member (2013)
Pao-Ann Hsiung ACM Senior Member (2006)
Mary Jane Irwin ACM Athena Lecturer Award (2010)
ACM Distinguished Service Award (2005)
John Lee ACM Senior Member (2014)
Diana Marculescu ACM Distinguished Member (2011)
ACM Senior Member (2009)
Igor Markov ACM Distinguished Member (2011)
ACM Senior Member (2007)
Sally A McKee ACM Senior Member (2013)
Prabhat Mishra ACM Distinguished Member (2015)
ACM Senior Member (2010)
Saraju P. Mohanty ACM Senior Member (2010)
Trevor Mudge ACM-IEEE CS Eckert-Mauchly Award (2014)
Walid Najjar ACM Distinguished Member (2015)
ACM Senior Member (2014)
Steven M Nowick ACM Senior Member (2009)
Ian Parberry ACM Distinguished Member (2015)
Massoud Pedram ACM Distinguished Member (2008)
Sreeranga P Rajan ACM Distinguished Member (2014)
Bantwal R Rau ACM-IEEE CS Eckert-Mauchly Award (2002)
Sartaj K Sahni ACM Karl V. Karlstrom Outstanding Educator Award (2003)
Robert Schreiber ACM Distinguished Member (2006)
Sandeep K Shukla ACM Distinguished Member (2012)
ACM Senior Member (2007)
Anand Sivasubramaniam ACM Distinguished Member (2010)
ACM Senior Member (2009)
Peter James Stuckey ACM Distinguished Member (2009)
Mateo Valero ACM Distinguished Service Award (2012)
ACM-IEEE CS Eckert-Mauchly Award (2007)
Robert A. Walker Outstanding Contribution to ACM Award (2007)
ACM Distinguished Member (2006)
David Whalley ACM Distinguished Member (2009)
ACM Senior Member (2009)
Steve Wilton ACM Senior Member (2006)
Zeljko Zilic ACM Senior Member (2009)

First Name Last Name Paper Counts
Francky Catthoor 17
Nikil Dutt 15
Irith Pomeranz 14
Krishnendu Chakrabarty 13
Jason Cong 12
Sheldon Tan 10
TingTing Hwang 9
Sachin Sapatnekar 9
Partha Chakrabarti 9
Lei He 8
Yaowen Chang 8
Evangeline Young 7
Yunheung Paek 7
Frank Vahid 7
Pallab Dasgupta 7
Danny Wong 7
Luca Benini 7
Spyros Tragoudas 6
Taewhan Kim 6
Martin Wong 6
Alexandru Nicolau 6
John Hayes 6
Bhargab Bhattacharya 6
Ryan Kastner 6
Chengkok Koh 6
Massoud Pedram 6
Radu Marculescu 6
Sudhakar Reddy 6
Igor Markov 6
Ali Dasdan 5
Sule Ozev 5
Sharad Malik 5
David Pan 5
Kiyoung Choi 5
Kaushik Roy 5
Mahmut Kandemir 5
Umit Ogras 5
Jenqkuen Lee 5
Rajeev Kumar 5
Aviral Shrivastava 5
Preeti Panda 5
Giovanni De Micheli 5
Andrew Kahng 5
Tony Givargis 5
Roman Lysecky 5
Nagarajan Ranganathan 5
Chungkuan Cheng 5
Kwangting Cheng 4
Rajesh Gupta 4
Zijiang Yang 4
Sunil Khatri 4
El Aboulhamid 4
Jingyang Jou 4
Aarti Gupta 4
Xiaobosharon Hu 4
Pinghung Yuh 4
Shihhsu Huang 4
Peter Petrov 4
Peng Li 4
Iris Jiang 4
Alex Jones 4
Ramesh Karri 4
Hungming Chen 4
Sunyuan Hsieh 4
Yuanhao Chang 4
Hans Wunderlich 4
Chang Liu 4
Jintai Yan 4
Allen Wu 4
Naehyuck Chang 4
Miodrag Potkonjak 4
Jongeun Lee 4
Dinesh Mehta 4
Paul Gratz 4
Franco Fummi 4
Paulo Flores 4
Hai Zhou 4
Dirk Stroobandt 4
Azadeh Davoodi 4
Chakkuen Wong 3
Waikei Mak 3
Krishnendu Chakrabarty 3
Teiwei Kuo 3
Seda Memik 3
Henk Corporaal 3
Dimitrios Kagaris 3
Praveen Raghavan 3
Martin Lukasiewycz 3
Karel Bruneel 3
Soonhoi Ha 3
Valeria Bertacco 3
Viktor Prasanna 3
Yuan Xie 3
Diana Marculescu 3
Jürgen Teich 3
Ronald Blanton 3
Paolo Prinetto 3
Sebastian Steinhorst 3
Paoann Hsiung 3
Sreejit Chakravarty 3
Wen Jone 3
Guangming Wu 3
Axel Jantsch 3
Sisira Panda 3
Zoran Salcic 3
Dipankar Das 3
Prabhat Mishra 3
Masanori Kurimoto 3
Guy Gogniat 3
Yuchin Hsu 3
Xiaoyu Song 3
Yunsi Fei 3
Anna Bernasconi 3
Ozcan Ozturk 3
Janet Roveda 3
Arnout Vandecappelle 3
Chenjie Yu 3
Peter Cheung 3
Costas Goutis 3
Youngsoo Shin 3
Shiyu Huang 3
Karem Sakallah 3
Chungwen Huang 3
Valentina Ciriani 3
Juan Maestro 3
Fadi Kurdahi 3
Massimo Poncino 3
Partha Roop 3
Mehdi Tahoori 3
Tsungyi Ho 3
Alberto Sangiovanni-Vincentelli 3
Zonghua Gu 3
Seongnam Kwon 3
Gianpiero Cabodi 3
Soheil Ghiasi 3
Sarma Vrudhula 3
Kurt Keutzer 3
Thambipillai Srikanthan 3
Pai Chou 3
Martin Palkovič 3
Yowtyng Nieh 3
Pedro Reviriego 3
Daniel Gajski 3
Xiangrong Zhou 3
Madhu Mutyam 3
David Atienza 3
Majid Sarrafzadeh 3
Janak Patel 3
Per Kjeldsberg 3
José Monteiro 3
Chialin Yang 3
Chiuwing Sham 3
Edwin Sha 3
Baris Taskin 3
Dong Xiang 3
Yinhe Han 3
Nicholas Zamora 3
Saojie Chen 3
Elizabeth Rudnick 3
Enrico Macii 3
Ankur Srivastava 3
Hai Wang 3
Shuvra Bhattacharyya 3
Priyank Kalla 3
Yiping You 3
Domenic Forte 3
Twan Basten 3
George Constantinides 3
Hao Yu 3
Xianlong Hong 3
Shihchieh Chang 3
Greg Stitt 3
Li Wang 3
Chienchih Huang 2
Chinlong Wey 2
Jwu Chen 2
Younlong Lin 2
C Shi 2
Yiyu Shi 2
Arnab Roy 2
Bijan Alizadeh 2
Laungterng Wang 2
Xing Huang 2
Peter Milder 2
Hui Liu 2
Guihai Yan 2
Ricardo Reis 2
Siddharth Garg 2
Hai Wang 2
Jiping Liu 2
Nicola Bombieri 2
Radu Marculescu 2
Puneet Gupta 2
Jos Huisken 2
Donald Thomas 2
Chiaming Chang 2
James Cain 2
Leonid Mats 2
Marco Bekooij 2
Franjo Ivančić 2
Maurizio Rebaudengo 2
Kiwook Kim 2
Russell Tessier 2
Kyumyung Choi 2
Sujit Dey 2
Vigyan Singhal 2
Srinivas Devadas 2
Ismail Kadayif 2
Levent Aksoy 2
Smita Bakshi 2
Siddhartha Mukhopadhyay 2
Rudy Lauwereins 2
Srinivas Katkoori 2
Andreas Dandalis 2
Mohammad Arjomand 2
Guolong Chen 2
Yi Wang 2
Janming Ho 2
Sudhakar Yalamanchili 2
Qinru Qiu 2
Mark Tehranipoor 2
Wenzhong Guo 2
Samarjit Chakraborty 2
Sudip Roy 2
Meeta Srivastav 2
Bart Mesman 2
Muhammet Ozdal 2
Ingoo Heo 2
Bei Yu 2
Shenchih Tung 2
Dawei Chang 2
Mario López 2
Kun Yuan 2
Arcot Sowmya 2
Rajdeep Mukhopadhyay 2
Chung Tsao 2
Javed Absar 2
Peichen Pan 2
Murali Jayapala 2
Lei Li 2
Krzysztof Kuchcinski 2
Yvon Savaria 2
Xin Yuan 2
Peiwen Luo 2
Roberto Passerone 2
Luciano Lavagno 2
Min Xu 2
Michel Auguin 2
Freek Verbeek 2
Vijaykrishnan Narayanan 2
Michael Hsiao 2
Xuexin Liu 2
Anmol Mathur 2
Sergio Nocco 2
Zhiyu Zeng 2
Koushik Chakraborty 2
Dongsheng Ma 2
Chiajui Hsu 2
José Pino 2
Jochen Jess 2
Joann Paul 2
Konstantin Moiseev 2
Jun Yang 2
Jun Zeng 2
Luigi Carro 2
Chingren Lee 2
Swaminathan Narayanaswamy 2
Leyla Nazhandali 2
Hafizur Rahaman 2
Akash Kumar 2
Timothy Sherwood 2
Jin Sun 2
Sarmishtha Ghoshal 2
Shihhao Hung 2
Wayne Wolf 2
Steven Wilton 2
Graziano Pravadelli 2
John Gough 2
Avinash Malik 2
Swarup Bhunia 2
Jörg Henkel 2
Susmita Sur-Kolay 2
Paul Thadikaran 2
Guangyu Chen 2
Marc Boulé 2
Manfred Glesner 2
Jim Holt 2
Magdy Abadir 2
Adnan Aziz 2
Saraju Mohanty 2
Tajana Rosing 2
Željko Žilić 2
Chunjason Xue 2
Michael Riepe 2
Mohammad Tehranipoor 2
Stefano Quer 2
Luiz Dos Santos 2
Ranga Vemuri 2
Mehrdad Nourani 2
Kai Zhu 2
ChengHsing Yang 2
Nur Touba 2
Hyesoon Kim 2
Elaheh Bozorgzadeh 2
Hongbing Fan 2
Shantanu Dutt 2
Paul Bogdan 2
Hiren Patel 2
Hsinhung Chen 2
S Ramesh 2
Matteo Reorda 2
Guido Araújo 2
Ozgur Sinanoglu 2
Fei Su 2
Wayne Luk 2
P Chakrabarti 2
Julien Schmaltz 2
Matthew Guthaus 2
Gustavo Wilke 2
Qing Duan 2
Markus Püschel 2
Zili Shao 2
Doosan Cho 2
Jingyang Jou 2
Vinícius Livramento 2
Francesco Poletti 2
Miguel Miranda 2
Yongje Lee 2
Jinyong Lee 2
Marlin Mickle 2
Hiroaki Inoue 2
Kanupriya Gulati 2
Luís Silveira 2
Vivek Sarin 2
Ali Afzali-kusha 2
José Mendías 2
Yiyu Liu 2
Deming Chen 2
Ronald Graham 2
M Balakrishnan 2
Stan Liao 2
Mike Lee 2
Ansuman Banerjee 2
Sreeranga Rajan 2
Avinoam Kolodny 2
Mary Irwin 2
Michael Kochte 2
Erik Marinissen 2
Genggeng Liu 2
Bo Zhao 2
Deepak Mathaikutty 2
Robert Walker 2
Maria Michael 2
Natarajan Viswanathan 2
Román Hermida 2
Christophe Wolinski 2
Yongjoo Kim 2
Alper Sen 2
Wim Heirman 2
Dimitrios Soudris 2
Zebo Peng 2
Jagannathan Ramanujam 2
Erik Brockmeyer 2
Inki Hong 2
Sanghamitra Roy 2
Duncan Walker 2
Farinaz Koushanfar 2
Naiwen Chang 2
Masahiro Fujita 2
Sivaram Gopalakrishnan 2
Gary Dispoto 2
Picheng Hsiu 2
Chiachun Tsai 2
Chrystian Guth 2
Haibao Chen 2
Yuliang Wu 2
Jun Yang 2
Tsungyi Ho 2
Jhihrong Gao 2
Seokhyeong Kang 2
Swapna Dontharaju 2
Kees Goossens 2
Chinhsien Wu 2
Chao Wang 2
Meikang Qiu 2
Masato Edahiro 2
Angeliki Kritikakou 2
Aiqun Cao 2
Peng Li 2
Shmuel Wimer 2
Rafal Baranowski 2
Bin Liu 2
Kaihui Chang 2
Pochun Huang 2
Bocheng Lai 2
José Güntzel 2
Xin Li 2
Sandeep Shukla 2
Yiyu Shi 2
Eduard Cerny 2
Jun Gu 2
Poyuan Chen 2
Abhijit Jas 2
Junji Sakai 2
Sungmo Kang 2
Junjuan Xu 2
Vasilios Kelefouras 2
Chandra Suresh 2
Sungjoo Yoo 2
Sunggu Lee 2
Melvin Breuer 2
Marco Murciano 2
Xiaoping Hu 2
Hongfei Wang 1
Jiunin Guo 1
Zhuo Li 1
Sandip Kundu 1
Milagros Férnandez 1
Prosenjit Gupta 1
Srinivas Patil 1
Apostolos Kountouris 1
Bailey Miller 1
Brian Tagiku 1
Ashish Gupta 1
Hungming Chen 1
Christian Schulte 1
Jun Lu 1
Songbin Pan 1
Gungyu Pan 1
Kunlin Tsai 1
Arne Meeuw 1
Taeyoung Kim 1
Vikas Vij 1
Jiang Hu 1
Chen Zhao 1
Stefan Holst 1
Michael Imhof 1
Tong Xu 1
Navin Vemuri 1
Rajeev Jayaraman 1
Abusaleh Jabir 1
Andreas Raabe 1
Philipp Hartmann 1
George Viamontes 1
Ningde Xie 1
Tong Zhang 1
Hyungjun Kim 1
Tan Yan 1
Si Li 1
Reiley Jeyapaul 1
Dana Price 1
Xiang Lu 1
Fernanda De Lima 1
Wei Wu 1
Román Hermida 1
Krishna Palem 1
Sungkyu Lim 1
Eugenio Villar 1
Youngpyo Joo 1
Davide Bertozzi 1
Kishore Muchherla 1
Luiz Santos 1
Panagiotis Manolios 1
Brett Brotherton 1
Wilsin Gosti 1
Manuel Prieto 1
Christopher Batten 1
Yiwen Shi 1
Shravan Muddasani 1
Maurice Bruynooghe 1
Jinfeng Liu 1
Karam Chatha 1
Franck Yonga 1
Ling Li 1
Yunji Chen 1
Chinchi Teng 1
Chibang Kuan 1
Phillip Jones 1
Ahcène Bounceur 1
Jinnshyan Wang 1
Chengyang Fu 1
Xiaoyao Liang 1
Naran Sirisantana 1
Alex Yakovlev 1
Yinlong Xu 1
Christoph Kern 1
Zhaoliang Pan 1
Wei Zhao 1
Sreejit Chakravarty 1
Hungyi Li 1
Vladimir Zolotov 1
Stefano Quer 1
Henrik Esbensen 1
Zhuo Feng 1
Li Shang 1
Santiago Rodríguez 1
Maria García 1
Marc Heijligers 1
Einar Aas 1
Sagar Sabade 1
Weitong Chuang 1
Jaehwanjohn Lee 1
Xiaoping Tang 1
Subhankar Mukherjee 1
Pallab Dasgupta 1
Ruijing Shen 1
Diederik Verkest 1
David Kolson 1
Kuochen Wang 1
Jun Chen 1
Hakan Yalcin 1
QingPing Tan 1
Bruno Girodias 1
Youcef Bouchebaba 1
Gabriela Nicolescu 1
Swaroop Ghosh 1
Elisenda Roca 1
Jun Ma 1
Yu Hu 1
Mojtaba Ebrahimi 1
Mingsong Chen 1
Pallav Gupta 1
Laurence Pierre 1
Youngsik Kim 1
Takyung Kim 1
Arpit Joshi 1
Jan Stuijt 1
Wei Dong 1
Harmke De Groot 1
Fayez Mohamood 1
Wei Li 1
Carlos Llanos 1
Sanjukta Bhanja 1
Ishwar Parulkar 1
Chris Chu 1
Mingxuan Yuan 1
Xiuqiang He 1
Rei Akiyama 1
Wenjian Luo 1
Shengde Wang 1
Kyoungwoo Lee 1
Murli Tirumala 1
Talal Bonny 1
Anup Gangwar 1
Norbert Wehn 1
Matin Hashemi 1
Michel Israel 1
Hiroyuki Tomiyama 1
Wooyoung Jang 1
Benjamin Schafer 1
Haifeng Qian 1
Guilherme Flach 1
Yenlung Chen 1
Eamonn O'Toole 1
Marisa López-Vallejo 1
Subhrajit Bhattacharya 1
Fred Meyer 1
Balakrishnan Iyer 1
Gary Yeap 1
Qi Wang 1
Shyhjye Jou 1
Zhong Wang 1
Gokul Kandiraju 1
Xiao Liu 1
Srinivas Boppu 1
John Lee 1
Luca Benini 1
R Iris Bahar 1
Zhe Feng 1
Zhigang Mao 1
Hiroyuki Kondo 1
Chien Liu 1
Nastaran Baradaran 1
David Bol 1
Paul Franzon 1
Mango Chao 1
Cong Xu 1
Shimeng Yu 1
Stavros Hadjitheophanous 1
Yingchi Li 1
Mohammad Samavatian 1
Ran Wang 1
Anand Raghunathan 1
Andreas Hoffmann 1
Feipei Lai 1
Su Gao 1
Scott Mahlke 1
Vincenza Carchiolo 1
Niall O'Neill 1
Alessandro Bogliolo 1
Doris Ching 1
Roopak Sinha 1
Mohamed Basiri M 1
Noor Sk 1
Shobha Vasudevan 1
Mateo Valero 1
Hsienkai Kuo 1
Zainalabedin Navabi 1
Amit Chowdhary 1
John Lillis 1
João Marques-Silva 1
Furshing Tsai 1
Sudip Poddar 1
Youngmin Kim 1
Kijin Han 1
Mark Lin 1
Toru Fujimura 1
Song Chen 1
Jinglei Huang 1
Sangmin Kim 1
Sebastian Fischmeister 1
Daniel Mozos 1
KuangCyun Hsiao 1
Dimin Niu 1
William Robinson 1
Lei Jiang 1
James Harbin 1
Brahim Al Farisi 1
Jason Higgins 1
Peter Marwedel 1
Saurabh Adya 1
Kiyin Chang 1
Ian Parberry 1
Chichou Kao 1
Heman Khanna 1
David Long 1
Mahesh Iyer 1
Yehia Massoud 1
Qingfeng Zhuge 1
Sunil Chappidi 1
Hyunggyu Lee 1
Jongman Kim 1
Celina Val 1
Jaume Abella 1
Gang Quan 1
Sumit Mohanty 1
CP Ravikumar 1
Jay Roy 1
Yuwei Wu 1
Chang Xu 1
Peixin Li 1
Xiaoqing Xu 1
Wenchao Zhang 1
Shengxi Diao 1
Andrew Kennings 1
Pangbo Wu 1
Ramachandran Venkatasubramanian 1
Nitin Chandrachoodan 1
Qingbo Wu 1
Dongha Jung 1
Guoyong Shi 1
Tayung Liu 1
Kerstin Eder 1
Eduardo Costa 1
Sean Liu 1
Fatma Abouelella 1
Tom Davidson 1
Yumin Lee 1
Yifang Liu 1
Xiongfei Liao 1
Sylvain Clerc 1
Fabian Firmin 1
Antonio Garcia-Dopico 1
Adrian Nunez-Aldana 1
Yici Cai 1
Puneet Gupta 1
Stefanus Mantik 1
Fangfang Li 1
Hai Lin 1
Mark Yeary 1
Vissarion Ferentinos 1
Erwan Raffin 1
Dennis Sylvester 1
Nakwoong Eum 1
Alfredo Benso 1
James Huggins 1
K Yuan 1
Claudio Passerone 1
Annette Bunker 1
Michael Birbas 1
Pierre Paulin 1
Gang Wang 1
Chris Ostler 1
Pengwen Chen 1
Chinchih Chang 1
Sudhanshu Vyas 1
Kai Huang 1
Alois Knoll 1
Chengyen Lin 1
Guangyu Sun 1
Huazhong Yang 1
Rensong Tsay 1
Zhiwei Qin 1
Xiaowei Li 1
Maciek Kormicki 1
Rajkumar Raval 1
Yuning Chang 1
Carl Pixley 1
Chiying Tsui 1
Peishan Tu 1
Chao Wang 1
Debashri Roy 1
Debasis Mitra 1
Yunfeng Yang 1
El Bourennane 1
Michel Langevin 1
Rok Sosic 1
Thomas Schlichter 1
ChihDa Chien 1
Juichin Chu 1
Charles Alpert, 1
Andrew Huber 1
YiCheng Ho 1
Jacopo Panerati 1
Sanjiv Narayan 1
Minsik Cho 1
Farid Najm 1
Tsuyoshi Abe 1
Parthasarathi Dasgupta 1
Bo Liu 1
Georges Gielen 1
Pedro Morgado 1
Yiping Fan 1
Shihyi Yuan 1
Joseph Demaio 1
Yuan Xie 1
Le Zhang 1
Laurent Fournier 1
Wuan Kuo 1
Daniel Blakely 1
Reiner Hartenstein 1
Marco Sgroi 1
Narender Hanchate 1
Dannyziyi Chen 1
Christos Papachristou 1
Rainer Dömer 1
Duo Li 1
Lei Jiang 1
Trevor Hodges 1
Hiroto Yasuura 1
Peng Yang 1
I Tsai 1
David Landis 1
Maogang Wang 1
Incheol Park 1
Gernot Koch 1
Yang Xu 1
Libo Huang 1
Jongwon Lee 1
Rico Backasch 1
Davide Rossi 1
Luca Benini 1
Yungchih Chen 1
Roozbeh Jafari 1
Vinita Vasudevan 1
Yang Xu 1
Jaeyeon Won 1
Xuandong Li 1
Malgorzata Marek-Sadowska 1
Sudheendra Kadri 1
Keesung Han 1
Hyunjik Song 1
Junhee Yoo 1
Hai Li 1
Jiang Hu 1
Marc Geilen 1
Marie Flottes 1
Alex Jones 1
Aiman El-Maleh 1
Egor Sogomonyan 1
Wangqi Qiu 1
Zhuo Li 1
Pokuan Huang 1
Mingyung Ko 1
Suren Ramasubbu 1
Suchismita Roy 1
TzuTeng Lin 1
Michalis Galanis 1
Fernando Herrera 1
Paul Mesa 1
Sungchan Kim 1
Iyad Al Khatib 1
Rustam Nabiev 1
Daniel Casarotto 1
Peter Hawrylak 1
Yajun Ha 1
Ted Huffmire 1
Jonathan Valamehr 1
I Tseng 1
Amit Singh 1
Kiamal Pekmestzi 1
Vahid Lari 1
Ayse Coskun 1
Somsubhra Mondal 1
Yuke Wang 1
Riccardo Scarsi 1
Anand Sivasubramaniam 1
Fei Xia 1
Yenjen Chang 1
Rajib Nath 1
Wei Wang 1
Michael Tian 1
Charles Wen 1
Chihong Hwang 1
Wim Meeus 1
Poyang Hsu 1
Jianbo Li 1
Debjit Pal 1
Vaughn Betz 1
Fady Abouzeid 1
Marc Renaudin 1
Rajdeep Bondade 1
Bo Wang 1
Naveed Sherwani 1
Karim Khordoc 1
Yuchun Ma 1
Sheqin Dong 1
Shianling Wu 1
Jiwon Hahn 1
Takkei Lam 1
TzuYin Lin 1
Chiaheng Tu 1
Mahshid Roumi 1
John Havlicek 1
Thanos Stouraitis 1
Lipin Chang 1
MingChing Lu 1
Chifeng Li 1
ChiaoChen Fang 1
Upavan Gupta 1
Venkataraman Mahalingam 1
Bernd Becker 1
Jeonghun Cho 1
Ritayu Chen 1
Fei He 1
Yuki Kobayashi 1
Masaharu Imai 1
Peter Vanbroekhoven 1
Gerhard Dueck 1
David Miller 1
Jiliang Zhang 1
Eddie Cheng 1
Christian Buckl 1
Qingxu Deng 1
Jean Legat 1
Gaurav Dhiman 1
Seyed Miremadi 1
Ali Mirtar 1
Karel Heyse 1
Chih Lin 1
Tao Feng 1
Syed Suhaib 1
Andrei Rădulescu 1
Steven Bashford 1
Geneeu Jan 1
András Orbán 1
Ernest Lampe 1
Ruth Bahar 1
Surendra Bommu 1
Richard Raimi 1
Charles Chiang 1
Walid Najjar 1
Partha Biswas 1
Bin Xiao 1
Seungcheol Baek 1
Chrysostomos Nicopoulos 1
Jason Oberg 1
Baolei Mao 1
Sam Bayless 1
Anche Cheng 1
Bojan Maric 1
Alexander Veidenbaum 1
Chieh Changfan 1
Prasenjit Chakraborty 1
Yier Jin 1
Shirshendu Das 1
Gong Chen 1
Shigetoshi Nakatake 1
Chelun Hsu 1
Fujiang Lin 1
Nima Darav 1
Sungkwang Lee 1
Hsiangyun Cheng 1
Huahsin Yeh 1
Jinkyu Koo 1
Hu Chen 1
Anupama Subramaniam 1
V Kamakoti 1
Seonwook Kim 1
Hai Zhou 1
Kamel Beznia 1
Hongyu Chen 1
Franz Franchetti 1
Jun Matsushima 1
Shigeki Ohbayashi 1
Pengchih Wang 1
Yumin Kuo 1
Duo Liu 1
Andrew Kennings 1
Érika Cota 1
Marcelo Lubaszewski 1
Nicolas Blanc 1
Rafael Rosales 1
William Song 1
Chen Huang 1
Joonho Kong 1
George Kornaros 1
Richard Lasslop 1
Jens Vygen 1
Qing Wu 1
M Joseph 1
John Jose 1
Yenpo Ho 1
Hassan Ghasemzadeh 1
Dani Tannir 1
Matthias Kauer 1
William Lee 1
Srinivas Shakkottai 1
Fangming Ye 1
Srijan Kumar 1
Jaiming Lin 1
Ganapathy Parthasarathy 1
Smita Krishnaswamy 1
A Abbasian 1
Kyungsoo Lee 1
Mengchiou Wu 1
Guanying Wu 1
Xubin He 1
Seher Kiziltepe 1
Xi Chen 1
Sunwook Kim 1
Seiji Kajihara 1
Michael Gössel 1
Kohei Miyase 1
Weiping Shi 1
Lei Cheng 1
Paulo Centoducatte 1
Woochul Jeun 1
Sudhakar Muddu 1
ChengTsung Hwang 1
Alan Mishchenko 1
Shichun Tsai 1
Qiang Dou 1
Luis Bathen 1
Chienchin Huang 1
Suming Lai 1
Dionisios Pnevmatikatos 1
Dirk Muller 1
Hao Shen 1
Nadereh Hatami 1
Reeshav Kumar 1
Selvaraj Ravi 1
Peng Li 1
Reinhard Schneider 1
Suman Datta 1
Ujjwal Guin 1
Jian Liu 1
Heejong Park 1
Qi Zhang 1
Mohammed Ehteshamuddin 1
Vinay Verma 1
Sara Vinco 1
PoHsien Chang 1
WeiChung Chao 1
Mahir Turkcan 1
Deming Chen 1
Jaekyu Lee 1
Kumar Parthasarathy 1
Lingling Jin 1
Pablo Del Valle 1
Giacomo Paci 1
YoungMin Yi 1
Nikhil Saluja 1
Tathagato Dastidar 1
Mohamed Bechara 1
Pinhong Chen 1
Shakith Fernando 1
Jeff White 1
Adam Postula 1
Anuja Sehgal 1
Frank Hannig 1
Yu Cao 1
Karthik Shankar 1
Song Liu 1
Ge Yu 1
Javier Resano 1
Jens Gladigau 1
Joseph Ganley 1
Martin Streubühr 1
Juan Hamers 1
Michael Meredith 1
Brady Hunsaker 1
Chunhan Chen 1
Chinghwa Cheng 1
Brett Meyer 1
Yaoguang Wei 1
Cliff Sze 1
Seokhyun Lee 1
Yokesh Kumar 1
Suganth Paul 1
Dimitris Bakalis 1
Fulvio Corno 1
Andy Lambrechts 1
Rafael Castro-López 1
Jonathan Clarke 1
Michael Hazeltine 1
Ryan Ketner 1
Xing Hu 1
Shuangchen Li 1
Yining Zhang 1
Lihong Zhang 1
Bipul Paul 1
ChiShong Wang 1
Robert Rogenmoser 1
Alessandro Pinto 1
Alvise Bonivento 1
Peter Jamieson 1
Nalini Venkatasubramanian 1
Evangeline Young 1
Xinping Zhu 1
David Lindberg 1
Sandip Ray 1
Jaideep Dastidar 1
Kuanyu Lin 1
Pranav Ashar 1
Xiaotao Chen 1
Shantanu Ganguly 1
Yuetsang Chen 1
Ismaïl Chabini 1
Kara Poon 1
Adolfo Palma-Rodriguez 1
Kurt Antreich 1
Mark Greenstreet 1
Nicholas Callegari 1
Youngjin Cho 1
José Gómez 1
Arunachalam Annamalai 1
Israel Koren 1
Yunghsiang Lu 1
Kalyan Saladi 1
Rance Rodrigues 1
Michael Henry 1
Jyothi Velamala 1
Chun Jason Xue 1
Xuehai Zhou 1
Mahadevan Ganapathi 1
Michael Moffitt 1
Philip Honsinger 1
Pedro Diniz 1
Zhiru Zhang 1
Montek Singh 1
Yuze Wu 1
Mineo Kaneko 1
Nikolaos Papandreou 1
Haralampos Pozidis 1
Andrew Walls 1
Siva Boga 1
Vassos Soteriou 1
Ngai Wong 1
Minsu Kim 1
Mark Aagaard 1
Edward McCluskey 1
Carlos Pinto 1
Shail Aditya 1
Avaneendra Gupta 1
Kedar Namjoshi 1
Alain Girault 1
Wenli Shih 1
Lingyi Liu 1
Harald Søndergaard 1
Peter Stuckey 1
Francisco Cazorla 1
Chiara Sandionigi 1
Ilya Issenin 1
Arun Kejariwal 1
Wenyong Deng 1
Robert CzerwińSki 1
Zhenghong Zhang 1
Sandeep Sen 1
JingWei Lin 1
Eric Chio 1
Jingjou Tang 1
Yeanyow Hwang 1
Junyan Ren 1
Meihsiang Tsai 1
Yihuang Hung 1
Ernest Kuh 1
Gilles Sicard 1
Yangdong Deng 1
Yue Yu 1
Cornelis Van Eijk 1
Eric Johnson 1
Janusz Brzozowski 1
Sanghoon Kwak 1
TungChieh Tsai 1
Srikanth Chandrasekaran 1
John Backes 1
Marc Riedel 1
Vivek Joshi 1
Bontae Koo 1
P Bannerjee 1
Gagan Hasteer 1
Jing Zeng 1
Hsipin Ma 1
Peter Bertels 1
Bettina Braitling 1
Peter Middelhoek 1
Juan De Vicente 1
Raminder Bajwa 1
Feng Liu 1
Krishnan Srinivasan 1
Vijaykumar Ramamurthi 1
Qubo Hu 1
Qi Guo 1
Gang Qu 1
Lokwon Kim 1
John Villasenor 1
Marjan Asadinia 1
Hamid Azad 1
Tanja Van Achteren 1
I Hsu 1
Zhen Chen 1
Michio Komoda 1
Menghuan Wu 1
Shihhung Weng 1
Wei Jiang 1
Alan Coppola 1
Yuming Chang 1
Hao Wu 1
Pohsun Wu 1
Laleh Behjat 1
Hany Kashif 1
Haomo Tang 1
Yande Jiang 1
Yu Cao 1
Sobhanbabu Ch 1
Bowen Zheng 1
Ye Zhang 1
Changhao Yan 1
Xuan Zeng 1
Fabian Oboril 1
Gilberto Ochoa-Ruiz 1
James Cohoon 1
Lieven Eeckhout 1
Yi Zhu 1
Hsungpin Chang 1
Lakshmi Reddy 1
Giovanni Beltrame 1
Juinndar Huang 1
Margarida Jacome 1
Marcelo Cintra 1
Tan Yan 1
Xiangyang Guo 1
Jeremy Dubeuf 1
Xinyu He 1
Ekaterina Kutsy 1
Ofer Strichman 1
Kartikey Mittal 1
Songwei Pei 1
Shaoxi Wang 1
Michael Healy 1
Keven Dunn 1
Stanley Baumgart 1
André Nácul 1
Zhongzhen Wu 1
Chingwei Yeh 1
Saravanan Padmanaban 1
Stylianos Mamagkakis 1
Karthikeyan Lingasubramanian 1
Sandeep Gupta 1
Rajeshkumar Sambandam 1
Tobias Becker 1
Xufa Wang 1
Jun Seomun 1
Takayasu Sakurai 1
Yu Liu 1
Tomtong Jing 1
Robi Dutta 1
Shaz Qadeer 1
Nong Xiao 1
Ralph Hasholzner 1
Stefan Hillebrecht 1
Jiantao Wang 1
Frank Vahid 1
Ankur Srivastava 1
Martin Leucker 1
Renjie Lee 1
Hakan Aydín 1
Wenpin Tu 1
Yoonseok Yang 1
Samarjit Chakraborty 1
Andreas Burg 1
Harry Hoster 1
Bingsheng He 1
Marcela Zuluaga 1
Chao Wang 1
Jongchul Lee 1
Kyle Stegner 1
Zhonghai Lu 1
Adam Kaplan 1
Amit Singh 1
Jhengsyun Yang 1
Tienfu Chen 1
F Johnson 1
Yushih Su 1
Chaitali Chakrabarti 1
Rungbin Lin 1
Bruno Rouzeyre 1
I Tseng 1
Rami Melhem 1
Jongeun Lee 1
Chita Das 1
Sandeep Goel 1
Muhammad Nummer 1
Le Jin 1
Giovanni De Micheli 1
Choonseung Lee 1
Hasan Khalifeh 1
Fang Liu 1
Plamen Nikolov 1
Sandro Rigo 1
Max Schultz 1
Yu Hu 1
Subhashis Majumder 1
Jean Berge 1
Mohamed Elwakil 1
Chittaranjan Mandal 1
Joan Lopez 1
ChungHwang Chen 1
Michael Boyer 1
Srikanth Venkataraman 1
Horácio Neto 1
JyhMou Tseng 1
Joseph Shinnerl 1
Qingan Li 1
Esteban Tlelo-Cuautle 1
Klaus Eckl 1
Andrew Wolfe 1
Yau Li 1
Huankai Peng 1
HsuanMing Huang 1
Kuenjong Lee 1
Tsungchu Huang 1
K Tsai 1
Paolo Camurati 1
Wanting Lo 1
Chiehjui Lee 1
Chandu Visweswariah 1
Raj Nadakuditi 1
Shashidhar Thakur 1
Adrian Ludwin 1
Tiempo Sas 1
Yuhao Zhu 1
Wenjong Fang 1
Vincent Mooney 1
Michael Hsiao 1
James Li 1
Gauthier Lafruit 1
Matthew Gately 1
Scott Little 1
David Bild 1
Gregory Bok 1
Claudio Sansoè 1
Piet Engelke 1
Sally McKee 1
Keshab Parhi 1
Kevin Lepak 1
Gerda Janssens 1
Wenrui Gong 1
Brian DeRenzi 1
Roberto Cordone 1
Antonis Papanikolaou 1
Tomas Pecenka 1
Lukáš Sekanina 1
Zdeněk Kotásek 1
Nuno Alves 1
Ronny Krashinsky 1
Jennifer Dworak 1
Jürgen Teich 1
Rui Zheng 1
Liang Shi 1
Jianhua Li 1
Harikumar Somakumar 1
Wenyao Xu 1
Syingjyan Wang 1
Katherine Li 1
William Davis 1
Jinsik Kim 1
Seokhyeong Kang 1
Evangelos Eleftheriou 1
Thomas Griffin 1
Daniel Limbrick 1
Bradley Kiddie 1
Xin Huang 1
Ramin Bashizade 1
Youtao Zhang 1
Hadi Esmaeilzadeh 1
Saeed Shamshiri 1
Jef Meerbergen 1
Jef Van Meerbergen 1
Rainer Leupers 1
KunLin Tsai 1
Shanqjang Ruan 1
Péter Arató 1
Donald Gelosh 1
Dorothy Setliff 1
Stephen Blythe 1
Alain Pegatoquet 1
Ramin Hojati 1
Qing Su 1
Patrick Schaumont 1
Ashok Halambi 1
Sharad Sinha 1
Chakchung Cheung 1
B Rau 1
Alain Darte 1
Michael Mefenza 1
Hsiangpang Li 1
Jingwei Lu 1
Said Hamdioui 1
Adwait Gupte 1
Nathan Denny 1
J Chen 1
U Rovati 1
William Hung 1
Sumit Gupta 1
Ausif Mahmood 1
Stephen Cauley 1
Ying Hu 1
Yufu Zhang 1
Seongook Jung 1
Stephen Edwards 1
Ali Pınar 1
Jackey Yan 1
Chris Chu 1
Yongwen Wang 1
Dominik Erb 1
Matthias Sauer 1
Tobias Schubert 1
Minseok Kang 1
Baktash Boghrati 1
Hai Wang 1
Tim Nieberg 1
José Costa 1
Ying Tan 1
Diana Marculescu 1
Gwan Choi 1
Haotse Chen 1
Dacheng Juan 1
Dip Goswami 1
Ramin Fallahzadeh 1
Hongfei Wang 1
Fubing Mao 1
Hai Li 1
Hosoon Shin 1
Qihang Shi 1
Linzhang Wang 1
Namita Sharma 1
Emmanuelle Encrenaz 1
Jean Desbarbieux 1
Safar Hatami 1
Ganghee Lee 1
Youtao Zhang 1
Zheng Xu 1
Hamid Shojaei 1
Sungwoo Hur 1
Ashok Jagannathan 1
Hossein Mehri 1
Keheng Huang 1
Kan Xiao 1
Cheng Wang 1
Shiyan Hu 1
Bo Yang 1
Guojie Luo 1
Aysa Tabrizi 1
Youjip Won 1
Hokyoon Lee 1
Florent De Lamotte 1
Frederik Vandeputte 1
Stelios Mamagkakis 1
Justin Stander 1
Puneet Sharma 1
Arnab Sinha 1
Bhaskar Pal 1
Yuanfang Hu 1
Yubin Zhang 1
Adam Hartman 1
Daujieu Yang 1
Huihsin Hsu 1
Jenhao Chen 1
Douglas Keller 1
Jongkyung Paek 1
EnShou Chang 1
Viktor Lapinskii 1
Gustavo De Veciana 1
Ibrahim Hajj 1
Vikram Saxena 1
Giovanni Squillero 1
Francisco Fernández 1
Syyen Kuo 1
Chihhung Liu 1
Paul Feautrier 1
Yi Xu 1
Vincent Beroulle 1
Zhi Li 1
Kele Shen 1
Mehdi Kamal 1
Xiaobosharon Hu 1
Xiaofang Wang 1
Xinzhang Jia 1
Filipa Duarte 1
Jun Zhou 1
Hsien Lee 1
Giorgio Natale 1
Martin Wong 1
Qiang Ma 1
Yaolin Chang 1
Sanghyun Park 1
Yongjoo Kim 1
Yahya Osais 1
Markus Seuring 1
Randall Geiger 1
Degang Chen 1
Pinar Korkmaz 1
Yan Lin 1
Raymond Hoare 1
John Lockwood 1
Sabyasachi Das 1
Huaizhi Wu 1
Krste Asanović 1
Sudarshan Bahukudumbi 1
Kundan Nepal 1
Francesco Zanini 1
Colin Jones 1
Naifeng Jing 1
Santiago Mok 1
Chaohung Lu 1
Jarrod Roy 1
Nan Guan 1
Carlos González 1
Andrea Calimera 1
Thorlindur Thorolfsson 1
Jiajia Li 1
José Pineda De Gyvez 1
Thomas Mittelholzer 1
Charles Camp 1
Yang Zheng 1
Weijian Su 1
Leila Delshadtehrani 1
Hamed Farbeh 1
Abhishek Koneru 1
Leandro Indrusiak 1
Osmar Dos Santos 1
Mohammad Tehranipour 1
Edwin Naroska 1
B Rau 1
ZoltánÁdám Mann 1
Jamil Kawa 1
Dhananjay Kulkarni 1
Chen Li 1
Zuoyuan Li 1
Kuohua Wang 1
Ricardo Jacobi 1
Tero Rissa 1
Chris Bleakley 1
Hidehiro Takata 1
Yosinori Watanabe 1
Renshen Wang 1
Swarup Das 1
Anshul Kumar 1
Michael Münch 1
Mohammad Foroozannejad 1
Laurent Freund 1
Hassan Salamy 1
J Lee 1
Franc Breglez 1
Giri Tiruvuri 1
W Fuchs 1
Ismed Hartanto 1
Michael Gasteier 1
Steven Levitan 1
Kuangchien Chen 1
Koen Danckaert 1
Noureddine Chabini 1
Hsiangyu Lu 1
Yiran Chen 1
Bernd Wurth 1
Ulf Schlichtmann 1
Olivier Sentieys 1
Pai Chou 1
Saket Gupta 1
Sartaj Sahni 1
Anjur Krishnakumar 1
Jiang Hu 1
Vilasita Kuntamukkala 1
Nagu Dhanwada 1
Steve Tjiang 1
Andrew Cassidy 1
Hua Xiang 1
Arijit Mondal 1
Xiaoqing Wen 1
Yuliang Wu 1
Xiaoqing Yang 1
Bert Geelen 1
Jaehyun Kim 1
Rajeev Rao 1
Edwin Sha 1
Yehchi Chang 1
Gregor Goessler 1
Wei Hu 1
Chia Yen 1
Mohammed Elshoukry 1
Hongliang Chang 1
Laurence Goodby 1
Luís Guerra E Silva 1
Shi Lin 1
Dariusz Kania 1
Yang Guo 1
He Tang 1
Chihao Chen 1
Hemangee Kapoor 1
Wei Zhong 1
Chuangwen Liu 1
Claudio Talarico 1
Ying Qin 1
Shengyu Shen 1
Huadong Dai 1
Qi Zhu 1
Waishing Luk 1
Joachim Keinert 1
Christian Haubelt 1
Koen De Bosschere 1
Gayatri Mehta 1
Mustafa Baz 1
Zhongyi Jin 1
Curt Schurgers 1
Liling Hung 1
Qiang Xu 1
Kunal Ganeshpure 1
Kuanhsien Ho 1
Katrina Lu 1
Dimitris Nikolos 1
Min Zhao 1
Guilherme Ottoni 1
Szuchi Wang 1
Zipeng Li 1
Xin Fu 1
Saeed Safari 1
Daming Zhang 1
Pei Zhang 1
Huazhong Yang 1
Shijie Wen 1
Jianchao Lu 1
David Kidd 1
Scott Van Sooy 1
Dinesh Ramanathan 1
David Van Campenhout 1
Hussain Al-Asaad 1
Jonathan Martin 1
Rina Panigrahy 1
Hao Li 1
Vijay Sundararajan 1
Juan Lanchares 1
Rajiv Gupta 1
E Mariatos 1
Olivier Temam 1
Christophe Bobda 1
Tianshi Chen 1
Depei Qian 1
Hungsheng Chang 1
Salvador Mir 1
Hsinhung Lin 1
Yoshiaki Fukui 1
YannRue Lin 1
Yihlang Li 1
Mohamed Zahran 1
Robert Brayton 1
Douglas Myers 1
Jonghee Youn 1
Yuan Yuan 1
Christian Hochberger 1
Alexander Weiss 1
Christian Panten 1
Dakai Zhu 1
Yoan Lin 1
Unmesh Bordoloi 1
Petru Eles 1
Marcelo Johann 1
Adam Teman 1
Pascal Meinerzhagen 1
Chingyi Huang 1
Ramprasath S 1
Yichung Chen 1
Wei Zhang 1
Qiuping Yi 1
Zili Shao 1
Jihsheng Shen 1
Dhiraj Pradhan 1
Chaowen Tzeng 1
Kueichung Chang 1
Joachim Anlauf 1
Sami Taktak 1
Jianli Zhuo 1
Vijay Pitchumani 1
Ivan Hom 1
Dirk Lanneer 1
Gert Goossens 1
Joan Carletta 1
Mehrdad Nourani 1
Teemu Pitkänen 1
Hirofumi Shinohara 1
Zhanglei Wang 1
Marcus Schmitz 1
Bashir Al-Hashimi 1
Cécile Belleudy 1
Frédéric Rousseau 1
Jayanta Bhadra 1
John Pape 1
Xiaoke Qin 1
Siobhán Clarke 1
Hongting Lin 1
Eren Kursun 1
Padmaraj Singh 1
Moonjung Chung 1
Wolfgang Rosenstiel 1
ThuydM Le 1
François Boyer 1
Jeroen Voeten 1
Trongyen Lee 1
João Marques-Silva 1
TaiHung Liu 1
Chauchin Su 1
Chidamber Kulkarni 1
Abhijit Chatterjee 1
Tim Kong 1
Andy Yan 1
Ra'ed Al-Dujaily 1
Jason Tong 1
Raid Ayoub 1
Steven Derrien 1
Fang Gong 1
V Nair 1
Weikai Cheng 1
Charalambos Ioannides 1
Ashok Sudarsanam 1
Sehwan Kim 1
Jinjun Xiong 1
Xijiang Lin 1
Jie Gong 1
Xingguang Feng 1
Yiran Chen 1
Dongwoo Lee 1
Ahmed Abousamra 1
Jonghee Yoon 1
Dirk Niggemeyer 1
Pu Liu 1
Bilge Akgul 1
Tsuangwei Chang 1
Gregory Dimitroulakos 1
Hyunggyu Lee 1
Janet Wang 1
Alexandro Baldassin 1
James Moscola 1
Young Cho 1
Sudarshan Srinivasan 1
Jaehyun Park 1
Concepción Sanz 1
Sotirios Xydis 1
George Economakos 1
Nicholas Imbriglia 1
Giovanni De Micheli 1
Sherief Reda 1
Takeshi Yamamoto 1
Satoshi Nakano 1
John Lee 1
Rajarshi Mukherjee 1
Martha Pollack 1
Rupak Majumdar 1
Giacomo Marchetti 1
Samson Melamed 1
Nikhil Jayakumar 1
Thomas Parnell 1
Sudipta Bhawmik 1
Ahmad Al-Yamani 1
Koen Van Eijk 1
Qin Zhao 1
Yentai Lai 1
Michele Malgeri 1
Maciej Ciesielski 1
Marios Papaefthymiou 1
Kumar Lalgudi 1
Songra Pan 1
Graeme Gange 1
Alan Hu 1
Xiaowei Li 1
Cristiana Bolchini 1
Dilvan Moreira 1
Peiyu Huang 1
Les Walczowski 1
Venkat Thanvantri 1
Andrew DeOrio 1
Antara Ain 1
Shangping Ren 1
J Van Eijnhoven 1
Alex Doboli 1
Hai Lin 1
Chungki Oh 1
Jingqing Mu 1
Mengchen Wu 1
Kiseok Chung 1
Richard Brown 1
Erik D'Hollander 1
Michel Renovell 1
Juergen Schloeffel 1
Ganesh Gopalakrishnan 1
Sandip Das 1
LiehMing Wu 1
Chuanjun Zhang 1
Alexios Birbas 1
Mark Johnson 1
Gang Chen 1
Bita Gorjiara 1
Nader Bagherzadeh 1
Dmitri Maslov 1
Yaping Lin 1
Lu Sha 1
Mottaqiallah Taouil 1
Gang Chen 1
Yuzhen Niu 1
Reinhardt Euler 1
Bo Yao 1
Pingqiang Zhou 1
James Hoe 1
Bradley Carlson 1
Venkataramanan Balakrishnan 1
Carlos Fernández 1
Chris Bleakley 1
Shenghua Liu 1
Daniel Kroening 1
Bo Wang 1
Wonyong Sung 1
Mehrdad Majzoobi 1
Amit Agarwal 1
Frédéric Vivien 1
Paul Chau 1
Chi Zhang 1
Xu He 1
Yao Wang 1
Swarup Bhunia 1
Qing Dong 1
David Westwick 1
Renan Netto 1
Zhiliang Qian 1
Jian Kuang 1
Robert Elio 1
Chuansheng Dong 1
Haibo Zeng 1
Prasun Ghosal 1
Myungsun Kim 1
Hyojung Lee 1
Yan Jia 1
Chungwei Lin 1
Ankit More 1
Robert Johnson 1
Joachim Falk 1
Stefan Gheorghita 1
Andreas Hansson 1
Prasenjit Basu 1
Sounil Biswas 1
Chengan Chien 1
Chiaheng Tu 1
Gustavo Tellez 1
Rafael Moreno 1
Seongseok Seo 1
Daler Rakhmatov 1
Vijay D'Silva 1
Sri Parameswaran 1
Mirko Loghi 1
Younghwan Park 1
Kazuhisa Ishizaka 1
Xrysovalantis Kavousianos 1
Subhas Nandy 1
Joanna Ho 1
Philipp Mundhenk 1
Jingweijia Tan 1
Richard Wong 1
Avi Ziv 1
Arthur Yeh 1
Jos Hulzink 1
Ruibing Lu 1
Sezer Gören 1
Chunan Chen 1
Duo Li 1
Michael Gester 1
Baoxian Zhao 1
Garng Huang 1
Steffen Schlueter 1
Chinghsuan Ho 1
Chunyao Wang 1
Rickard Ewetz 1
Ya Wang 1
Yue Zhao 1
Kenneth Stevens 1
Farshad Firouzi 1
Tian Zhang 1
Savithri Sundareswaran 1
Fahimeh Jafari 1
Hasan Arslan 1
Haibo Wang 1
Jimson Mathew 1
Tomvander Aa 1
Alokika Dash 1
ShihCheng Tsai 1
Yongjin Ahn 1
Michael Kishinevsky 1
Siddharth Jain 1
Jean Rolt 1
Scott Chilstedt 1
Jinho Lee 1
Manoj Sachdev 1
Adit Singh 1
Rohit Ramanujam 1
Bill Lin 1
Turker Kuyel 1
Gustavo Neuberger 1
Lakshmi Chakrapani 1
Angchih Hsieh 1
Olinto Furtado 1
Tim Tuan 1
Yongsoo Joo 1
Donghwa Shin 1
Moritz Schmid 1
Sandip Kundu 1
Ryan Cochran 1
Atsuto Hanami 1
Juyueh Lee 1
Weifeng He 1
Juan Clemente 1
Kuolin Peng 1
F Ferguson 1
Dian Zhou 1
John Emmert 1
Jinian Bian 1
Haikun Zhu 1
Gang Chen 1
Werner Geurts 1
Johan Van Praet 1
Eduardo Pacheco 1
Hiroaki Suzuki 1
Tadao Yamanaka 1
Haruyuki Ohkuma 1
Hamid Mahmoodi 1
Zhifang Li 1
Lihua Yue 1
Chengjuei Yu 1
YiHsin Wu 1
Alex Kondratyev 1
Etem Deniz 1
Kazutoshi Wakabayashi 1
Chiennan Liu 1
Chiachun Tsai 1
Xuchu Hu 1
J Ramanujam 1
Dipankar Sarkar 1
Ted Szymanski 1
Udo Kebschull 1
Soumendu Bhattacharya 1
Min Xie 1
Nizar Dahir 1
Terrence Mak 1
Jianhua Li 1
Liang Shi 1
Mitchell Thornton 1
Mario Leung 1
YuHsin Kuo 1
Muhammad Pasha 1
Alan Su 1
Ryan Rakib 1
Junxia Ma 1
Gianpiero Cabodi 1
Debapriya Chatterjee 1
Yiding Han 1
Antonio Pérez 1
Jay Brockman 1
Praveen Murthy 1
Mohammed Khatib 1
Jiunlang Huang 1
Denis Flandre 1
Steven Nowick 1
Gary Tressler 1
Renyuan Zhang 1
Hyungjun Kim 1
Arseniy Vitkovskiy 1
Hamid Sarbazi-Azad 1
Steffen Peter 1
Changho Choi 1
Brentbyunghoon Kang 1
Zainalabedin Navabi 1
David Berner 1
Calin Ciordas 1
Stefan Pees 1
Heinrich Meyr 1
Hui Huang 1
Giuseppe Mangioni 1
Luc Bianco 1
Pradip Jha 1
Miron Abramovici 1
Ingrid Verbauwhede 1
Robert Rinker 1
Ugur Sezer 1
Chingyu Chin 1
Chunkai Wang 1
Dejun Mu 1
Mohit Tiwari 1
Xueliang Li 1
Bren Mochocki 1
Pejman Lotfi-Kamran 1
Mohammad Hosseinabady 1
Weiyu Tang 1
Robert Schreiber 1
Meenakshi Kaul 1
Alex OrailoĞLu 1
Jian Ma 1
Joost Katoen 1
Seungwon Kim 1
Taemin Lee 1
Hyunsun Park 1
Junwhan Ahn 1
Sparsh Mittal 1
Saraju Mohanty 1
James Geraci 1
Priyank Gupta 1
Seetal Potluri 1
A Trinadh 1
Tiansi Hu 1
YongHwan Kim 1
AnPing Wang 1
Pai Chou 1
ChoonYik Tang 1
Waichung Tang 1
Robert Dick 1
Jinjun Xiong 1
David Blaauw 1
ChunDa Du 1
Byunghyun Lee 1
D Van Campenhout 1
Trevor Mudge 1
Rick McGeer 1
Chunghsiang Lin 1
Miad Faezipour 1
Sharat Prasad 1
Yuzheng Ding 1
Ilia Polian 1
Ken Kennedy 1
David Whalley 1
ChuangYi Chiu 1
Ingjer Huang 1
Bruno Lavigueur 1
Zhihua Zhou 1
Dennis Huang 1
Chungkuan Cheng 1
Dong Lee 1
Geert Deconinck 1
Hsueh Lu 1
Nobuhiro Tsuda 1
Yi Zou 1
Donatella Sciuto 1
C Krishna 1
Arijit Ghosh 1
Kaijie Wu 1
Wennai Cheng 1
Guoqiang Chen 1
Yunchih Chang 1
Xuan Guan 1
Waseem Ahmed 1
Michael Glaß 1
Zhiying Wang 1
Jieun Lim 1
Nagesh Lakshminarayana 1
Bernd Becker 1
Kamyiu Lam 1
Chiawei Lee 1
Éric Rutten 1
Sebastien Guillet 1
Jean Diguet 1
Jingwei Lu 1
Chulhong Park 1
Qinke Wang 1
Sayantan Das 1
Michael Taylor 1
Yenchun Lin 1
SueHong Chow 1
Eddie Hung 1
Karin Avnit 1
Sudeep Pasricha 1
Yuru Hong 1
Philippe Grosse 1
Yves Durand 1
Owen Farell 1
Guoqing Chen 1
David Hély 1
Liang Chen 1
Yongpan Liu 1
Sanghyeon Baeg 1
Weitsun Sun 1
Song Jin 1
Huawei Li 1
Sungkyu Lim 1
Kunhyuk Kang 1
Jason Cheatham 1
Hannahhonghua Yang 1
Qiang Zhou 1
Mauricio Ayala-Rincón 1
Traian Pop 1
Paul Pop 1
Petru Eles 1
Swanwa Liao 1
Gunar Schirner 1
Andreas Gerstlauer 1
Xue Liu 1
Somnath Paul 1
Yuan Cai 1
Ricardo Reis 1
Chincheng Kuo 1
Éamonn Linehan 1
Chandan Karfa 1
Xiaojian Yang 1
Stefan Obenaus 1
Mukund Narasimhan 1
Fabrizio Lombardi 1

Affiliation Paper Counts
Indian Institute of Management Calcutta 1
Macronix International Co 1
Nan-Tai Institute of Technology 1
Winbond Electronics Corporation 1
Kung Shan Institute of Technology 1
Macau University of Science and Technology 1
DoCoMo Communications Laboratories Europe GmbH 1
Yahoo Inc. 1
Institute for Information Industry Taiwan 1
Synopsys (India) Pvt. Ltd. 1
Mindspeed Technologies 1
FZI Research Computer Science Research Center Karlsruhe 1
Asyst Technologies, Inc. 1
Huawei Technologies Co., Ltd. 1
King Abdullah University of Science and Technology 1
Zenasis Technologies, Inc. 1
Intel Technology India Pvt Ltd. 1
International Institute of Information Technology, Kolkata 1
Barcelona Supercomputing Center 1
Hitachi America, Ltd. 1
STMicroelectronics Ltd - Bristol 1
National Pingtung Institute of Commerce 1
Faraday Technology Corporation 1
Universite de Lyon 1
Intel Development Center, Israel 1
Toshiba America Research, Inc 1
Universite de Strasbourg 1
National Institute of Technology, Durgapur 1
Global Unichip 1
North China Electric Power University 1
Russian Academy of Sciences 1
Bahcesehir University 1
Catholic University of Pelotas 1
Microsoft Research 1
University of Potsdam 1
Beijing University of Chemical Technology 1
University of Virginia 1
Indian Institute of Technology, Kanpur 1
University of Central Florida 1
University of New Orleans 1
National Chi Nan University 1
Chongqing University 1
Ecole Centrale Marseille 1
National Taiwan Ocean University 1
Lancaster University 1
Oak Ridge National Laboratory 1
Missouri University of Science and Technology 1
University of Maryland, Baltimore County 1
The University of North Carolina at Chapel Hill 1
Northrop Grumman corporation 1
Jundi Shapur University of Dezful 1
Rensselaer Polytechnic Institute 1
Valparaiso University 1
University of Udine 1
Clarkson University 1
University of Nebraska - Lincoln 1
Royal Military College of Canada 1
Nokia 1
School of Higher Technology - University of Quebec 1
San Francisco State University 1
Oracle Corporation 1
NXP Semiconductors 1
National Ilan University Taiwan 1
St. Louis University 1
Siemens AG 1
Daegu University 1
Wuhan University 1
Karlsruhe Institute of Technology, Campus South 1
Kent State University 1
Texas State University-San Marcos 1
Rutgers, The State University of New Jersey 1
Nortel Networks 1
Institute of Computing Technology Chinese Academy of Sciences 1
Curtin University of Technology, Perth 1
McMaster University 1
University at Buffalo, State University of New York 1
University of Akron 1
University of Texas System 1
North Dakota State University 1
University of Bridgeport 1
Miami University Oxford 1
Griffith University 1
Naval Postgraduate School 1
Concordia University, Montreal 1
Federal University of Santa Maria 1
University of Idaho 1
Gonzaga University 1
Texas Instruments (India) Ltd 1
Lahore University of Management Sciences 1
Hynix Semiconductor Inc. 1
Lebanese American University 1
P. A. College of Engineering 1
International Medical Equipment Collaborative 1
University of Colorado at Boulder 1
Wilfrid Laurier University 1
Mississippi State University 1
Florida State University 1
France Telecom 1
University of Texas at San Antonio 1
University of Manchester 1
Universite de Bretagne-Sud 1
China National Petroleum Corporation 1
University of Ioannina 1
Fu Jen Catholic University 1
Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas 1
Ecole Normale Superieure de Lyon 1
Google Inc. 1
City University of New York 1
Lawrence Berkeley National Laboratory 1
Thomson, SA 1
Cornell University 1
Commissariat a L'Energie Atomique CEA 1
University of Kansas 1
Colorado State University 1
Silicon Graphics, Inc. 1
Tampere University of Technology 1
University of St. Thomas, Minnesota 1
University of Kaiserslautern 1
Nanjing University of Science and Technology 1
University of Kent 1
Auburn University 1
Oakland University 1
INRIA Rhone-Alpes 1
Qualcomm Incorporated 1
INRIA Institut National de Rechereche en Informatique et en Automatique 1
Kwangwoon University 1
Indian Institute of Technology, Bombay 1
Providence University Taiwan 1
Oxford Brookes University 1
Kettering University 1
University of Southern California, Information Sciences Institute 1
University of Washington 1
University of Washington Seattle 1
North Carolina Agricultural and Technical State University 1
Robert Bosch GmbH 1
University of Trento 1
Chengdu University of Information Technology 1
Washington State University Tri-Cities 1
National Taipei University 1
University of New Brunswick 1
The University of North Carolina System 1
Vienna University of Technology 1
University of South Carolina 1
Sogang University 1
Technical University of Dresden 1
Bowling Green State University 1
Advanced Micro Devices, Inc. 1
LSI Corporation 1
Taiwan Semiconductor Manufacturing Company 1
Memorial University of Newfoundland 1
CSIC - Instituto de Investigacion en Inteligencia Artificial 1
Air Force Research Laboratory 1
Boston University 1
State University of Rio Grande do Sul 1
United States Air Force Institute of Technology 1
University of Twente 1
East China Normal University 1
Villanova University 2
Virginia Commonwealth University 2
Polytechnic University - Brooklyn 2
Bar-Ilan University 2
Hefei University of Technology 2
Illinois Institute of Technology 2
Vanderbilt University 2
Mentor Graphics Corporation 2
Feng Chia University 2
University of Houston 2
Universitat Politecnica de Catalunya 2
CEA LETI 2
Altera Corporation 2
CNRS Centre National de la Recherche Scientifique 2
Silesian Polytechnic University, Gliwice 2
King Fahd University of Petroleum and Minerals 2
Xilinx Inc. 2
Indian Institute of Technology, Guwahati 2
Washington University in St. Louis 2
Kyushu University 2
IBM Research 2
National Sun Yat-Sen University Taiwan 2
Japan Advanced Institute of Science and Technology 2
National Taipei University of Technology 2
Beihang University 2
Brno University of Technology 2
University of Cantabria 2
University of Denver 2
University of York 2
Radboud University Nijmegen 2
Michigan Technological University 2
University of Tubingen 2
Southern Methodist University 2
Washington State University Pullman 2
Wright State University 2
George Mason University 2
Binghamton University State University of New York 2
Technical University of Crete 2
Osaka University 2
Southern Illinois University 2
Open University of the Netherlands 2
University of Ferrara 2
University of Lethbridge 2
University of Southampton 2
University of Tokyo 2
Xidian University 2
Alcatel-Lucent 2
Universidad Autonoma de Madrid 2
University of Oxford 2
Institute for Research in IT and Random Systems 2
Lund University 2
National Semiconductor Corporation 2
Columbia University 2
Universite d' Evry Val d'Essonne 2
Infineon Technologies AG 2
Democritus University of Thrace 2
University of Queensland 2
Michigan State University 2
Indian Institute of Technology Roorkee 2
American University of Beirut 2
Cyprus University of Technology 2
National Key Laboratory for Parallel and Distributed Processing 2
Realtek Semiconductor Corp. 2
Avant Corporation 2
New York University Abu Dhabi 2
Case Western Reserve University 3
Catholic University of Louvain 3
Electronics Telecommunication Research Institute 3
University of Victoria 3
University of Arkansas - Fayetteville 3
Korea University 3
Bogazici University 3
Delft University of Technology 3
Kitakyushu University 3
The University of Hong Kong 3
Hong Kong University of Science and Technology 3
University of Catania 3
University of Dublin, Trinity College 3
Bilkent University 3
Universite de Bretagne Occidentale 3
Hewlett-Packard 3
Tunghai University 3
New York University 3
Portland State University 3
Hanyang University 3
University of Brasilia 3
Stony Brook University 3
University of Melbourne 3
University of Pisa 3
Cisco Systems 3
Budapest University of Technology and Economics 3
University of Oklahoma 3
University of California System 3
Northeastern University China 3
University of Seville 3
University of Cyprus 3
NVIDIA 3
Sunchon National University 4
National Technical University of Athens 4
TIMA Laboratoire 4
Northwestern Polytechnical University China 4
University College Dublin 4
Motorola Austin 4
Louisiana State University 4
Chung Hua University 4
Renesas Technology Corporation 4
City University of Hong Kong 4
Peking University 4
Nanhua University Taiwan 4
Canakkale 18th March University 4
Politecnico di Milano 4
Motorola 4
University of Cincinnati 4
Swiss Federal Institute of Technology, Zurich 4
Microsoft 4
IBM Austin Research Laboratory 4
University of Milan 4
Syracuse University 4
Universite de Rennes 1 4
Pohang University of Science and Technology 4
Hunan University 4
University of Dortmund 4
Laboratoire des Sciences et Techniques de l'Information, de la Communication et de la Connaissance 4
Western Michigan University 5
Royal Institute of Technology 5
University of Calgary 5
Instituto Superior Tecnico 5
Rice University 5
Technical University of Darmstadt 5
Norwegian University of Science and Technology 5
Texas Instruments 5
University of Tennessee Space Institute 5
Philips Research 5
RWTH Aachen University 5
National University of Singapore 5
University of Bristol 5
University of North Texas 5
Agilent Technologies 5
University of New South Wales 5
Technical University of Madrid 5
IBM Zurich Research Laboratory 5
Kyushu Institute of Technology 5
Nanjing University 5
Fujitsu America, Inc. 5
Universite Grenoble Alpes 5
Instituto de Engenharia de Sistemas e Computadores Investigacao e Desenvolvimento em Lisboa 6
Zhejiang University 6
North Carolina State University 6
University of Illinois 6
Fudan University 6
Brown University 6
University of California, Davis 6
Holst Centre 6
Industrial Technology Research Institute of Taiwan 6
STMicroelectronics 6
National Taiwan University of Science and Technology 6
Swiss Federal Institute of Technology, Lausanne 6
Northeastern University 6
University of Verona 6
Universite Nice Sophia Antipolis 6
Magma Design Automation, Inc. 6
Nebrija University 6
Universidade de Lisboa 6
University of Minnesota System 7
Linkoping University 7
HP Labs 7
IBM Thomas J. Watson Research Center 7
National Chung Hsing University 7
Polytechnic School of Montreal 7
Massachusetts Institute of Technology 7
Technion - Israel Institute of Technology 7
University of California, Santa Cruz 7
Shanghai Jiaotong University 7
State University of Campinas 7
Utah State University 7
McGill University 8
Iowa State University 8
University of Electronic Science and Technology of China 8
Nanyang Technological University 8
Northwestern University 8
Federal University of Santa Catarina 8
Indian Institute of Technology, Madras 8
University of Bologna 8
Southern Illinois University at Carbondale 8
University of Wisconsin Madison 8
Indian Institute of Technology, Delhi 8
Karlsruhe Institute of Technology 8
Ulsan National Institute of Science and Technology 8
University of Michigan 9
University of Auckland 9
University of Bonn 9
University of Montreal 9
Stanford University 9
Drexel University 9
Fuzhou University 9
Technical University of Munich 9
Freescale Semiconductor 9
University of Connecticut 9
National Central University Taiwan 9
University of Freiburg 9
University of Illinois at Chicago 9
The University of British Columbia 10
University of Stuttgart 10
NEC Laboratories America, Inc. 10
University of Iowa 10
Indian Statistical Institute, Kolkata 10
University of Utah 10
Broadcom Corporation 10
Sharif University of Technology 10
University of Minnesota Twin Cities 10
Chung Yuan Christian University 10
NEC Corporation 10
Princeton University 11
Yuan Ze University 11
University of Massachusetts Amherst 11
Imperial College London 11
University of Notre Dame 11
Federal University of Rio Grande do Sul 12
Hong Kong Polytechnic University 12
University of Florida 12
University of Waterloo 12
National University of Defense Technology China 12
Korea Advanced Institute of Science & Technology 12
Samsung Electronics 13
University of Texas at Dallas 13
University of Tehran 13
University of Patras 13
University of South Florida Tampa 14
Academia Sinica Taiwan 14
University of Science and Technology of China 14
Catholic University of Leuven 14
Complutense University of Madrid 14
National Chung Cheng University 15
University of California, Berkeley 15
University of Southern California 15
Chinese Academy of Sciences 16
University of Arizona 17
University of Erlangen-Nuremberg 18
IBM 18
Cadence Design Systems 18
Ghent University 18
Virginia Tech 19
Pennsylvania State University 20
Arizona State University 20
Georgia Institute of Technology 20
University of Illinois at Urbana-Champaign 21
University of California, Santa Barbara 21
Tsinghua University 24
National Cheng Kung University 25
University of Maryland 26
Eindhoven University of Technology 26
Synopsys Incorporated 28
Chinese University of Hong Kong 30
Duke University 31
Intel Corporation 31
Interuniversity Micro-Electronics Center at Leuven 31
University Michigan Ann Arbor 32
Polytechnic Institute of Turin 34
University of Texas at Austin 35
Purdue University 36
University of Pittsburgh 37
Carnegie Mellon University 40
National Taiwan University 42
University of California, San Diego 43
National Chiao Tung University Taiwan 44
University of California, Riverside 44
Indian Institute of Technology, Kharagpur 45
Texas A and M University 51
University of California, Irvine 63
University of California, Los Angeles 65
Seoul National University 67
National Tsing Hua University 68

ACM Transactions on Design Automation of Electronic Systems (TODAES)
Archive


2016
Volume 21 Issue 4, September 2016
Volume 22 Issue 1, September 2016  Issue-in-Progress
Volume 21 Issue 3, July 2016 Special Section on New Physical Design Techniques for the Next Generation Integration Technology and Regular Papers
Volume 21 Issue 2, January 2016

2015
Volume 21 Issue 1, November 2015
Volume 20 Issue 4, September 2015 Special Issue on Reliable, Resilient, and Robust Design of Circuits and Systems
Volume 20 Issue 3, June 2015
Volume 20 Issue 2, February 2015

2014
Volume 20 Issue 1, November 2014
Volume 19 Issue 4, August 2014
Volume 19 Issue 3, June 2014
Volume 19 Issue 2, March 2014

2013
Volume 19 Issue 1, December 2013
Volume 18 Issue 4, October 2013 Special Section on Networks on Chip: Architecture, Tools, and Methodologies
Volume 18 Issue 3, July 2013
Volume 18 Issue 2, March 2013
Volume 18 Issue 1, January 2013 Special section on adaptive power management for energy and temperature-aware computing systems

2012
Volume 17 Issue 4, October 2012
Volume 17 Issue 3, June 2012 Special section on verification challenges in the concurrent world
Volume 17 Issue 2, April 2012
Volume 17 Issue 1, January 2012

2011
Volume 16 Issue 4, October 2011
Volume 16 Issue 3, June 2011
Volume 16 Issue 2, March 2011

2010
Volume 16 Issue 1, November 2010
Volume 15 Issue 4, September 2010
Volume 15 Issue 3, May 2010
Volume 15 Issue 2, February 2010

2009
Volume 15 Issue 1, December 2009
Volume 14 Issue 4, August 2009
Volume 14 Issue 3, May 2009
Volume 14 Issue 2, March 2009
Volume 14 Issue 1, January 2009

2008
Volume 13 Issue 4, September 2008
Volume 13 Issue 3, July 2008
Volume 13 Issue 2, April 2008
Volume 13 Issue 1, January 2008

2007
Volume 12 Issue 4, September 2007
Volume 12 Issue 3, August 2007
Volume 12 Issue 2, April 2007
Volume 12 Issue 1, January 2007

2006
Volume 11 Issue 4, October 2006
Volume 11 Issue 3, July 2006
Volume 11 Issue 2, April 2006
Volume 11 Issue 1, January 2006

2005
Volume 10 Issue 4, October 2005
Volume 10 Issue 3, July 2005
Volume 10 Issue 2, April 2005
Volume 10 Issue 1, January 2005

2004
Volume 9 Issue 4, October 2004
Volume 9 Issue 3, July 2004
Volume 9 Issue 2, April 2004
Volume 9 Issue 1, January 2004

2003
Volume 8 Issue 4, October 2003
Volume 8 Issue 3, July 2003
Volume 8 Issue 2, April 2003
Volume 8 Issue 1, January 2003

2002
Volume 7 Issue 4, October 2002
Volume 7 Issue 3, July 2002
Volume 7 Issue 2, April 2002
Volume 7 Issue 1, January 2002

2001
Volume 6 Issue 4, October 2001
Volume 6 Issue 3, July 2001
Volume 6 Issue 2, April 2001
Volume 6 Issue 1, Jan. 2001

2000
Volume 5 Issue 4, Oct. 2000
Volume 5 Issue 3, July 2000
Volume 5 Issue 2, April 2000
Volume 5 Issue 1, Jan. 2000

1999
Volume 4 Issue 4, Oct. 1999
Volume 4 Issue 3, July 1999
Volume 4 Issue 2, April 1999
Volume 4 Issue 1, Jan. 1999

1998
Volume 3 Issue 4, Oct. 1998
Volume 3 Issue 3, July 1998
Volume 3 Issue 2, April 1998
Volume 3 Issue 1, Jan. 1998

1997
Volume 2 Issue 4, Oct. 1997
Volume 2 Issue 3, July 1997
Volume 2 Issue 2, April 1997
Volume 2 Issue 1, Jan. 1997

1996
Volume 1 Issue 4, Oct. 1996
Volume 1 Issue 3, July 1996
Volume 1 Issue 2, April 1996
Volume 1 Issue 1, Jan. 1996
 
All ACM Journals | See Full Journal Index