ACM Transactions on

Design Automation of Electronic Systems (TODAES)

Latest Articles

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

Unpredictability is an important security property of Physically Unclonable Function (PUF) in the context of statistical attacks, where the... (more)


With the emergence of many-core multiprocessor system-on-chips (MPSoCs), on-chip networks are facing serious challenges in providing fast communication among various tasks and cores. One promising on-chip network design approach shown in recent studies is to add express channels to traditional mesh network as shortcuts to bypass intermediate... (more)

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

In this article, we present a novel methodology based on SMT-solvers to verify equality of a high-level described specification and a pipelined RTL... (more)

Optimized Implementation of Multirate Mixed-Criticality Synchronous Reactive Models

Model-based design using Synchronous Reactive (SR) models enables early design and verification of application functionality in a platform-independent... (more)

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.... (more)

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

Flash memory is widely used in mobile phones to store contact information, application files, and other types of data. In an operating system, the... (more)

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

Many algorithms have recently been studied for scheduling mixed-criticality (MC) tasks. However, most existing MC scheduling algorithms guarantee the... (more)

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

This article describes a new procedure that generates seeds for LFSR-based test generation when the goal is to produce an n-detection test set. The... (more)

Scale 8 Cap

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, efficient management of multi-threaded applications has become a significant research problem.... (more)

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

This work tackles the conflict between enforcing security of a system-on-chip (SoC) and providing observability during trace-based debugging. On one... (more)

A MATLAB Vectorizing Compiler Targeting Application-Specific Instruction Set Processors

This article discusses a MATLAB-to-C vectorizing compiler that exploits custom instructions, for... (more)

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

In Model-Driven Engineering system-level approaches, the design of communication protocols and patterns is subject to the design of processing... (more)


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

Special Section: Integrating Dataflow, Embedded computing and Architecture

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.

SSAGA: SMs Synthesized for Asymmetric GPGPU Applications

Emergence of GPGPU applications, bolstered by flexible GPU programming platforms, has created a tremendous challenge in maintaining a high energy efficiency in modern GPUs. In this paper, we demonstrate that, customizing a Streaming Multiprocessor (SM) of a GPU, at a lower frequency, is significantly more energy efficient, compared to employing DVFS on an SM, designed for a high frequency operation. Using a system level CAD technique, we propose SSAGAStreaming Multiprocessors Sculpted for Asymmetric GPGPU Applications, an energy efficient GPU design paradigm. SSAGA creates architecturally identical SM cores, customized for different voltage-frequency domains. Our rigorous cross-layer methodology demonstrates an average of 20% improvement in energy efficiency, over a spatially multitasking GPU, across a range of GPGPU applications.

Layer Assignment of Escape buses with Consecutive Constraints in PCB Designs

It is known that it is important for cost and reliability consideration to minimize the number of the used layers and assign the escape buses onto the available layers in a PCB design. In this paper, given a set of n escape buses between two adjacent components and a set of m consecutive constraints on the escape buses, the problem of assigning the given escape buses between two adjacent components onto the available layers is formulated in bus-oriented escape routing. Furthermore, an efficient approach is proposed to minimize the number of the used layers for the given escape buses with the consecutive constraints and assign the escape buses onto the available layers. Compared with Yans approach [J. T. Yan et al. 2012] for the layer assignment of the linear escape buses with no consecutive constraint and Mas approach [Q. Ma, F. Y. Young et al. 2011] for the layer assignment of the circular escape buses with consecutive constraints, the experimental results show that our proposed approach obtains betterl results on the number of the used layers and reduces 43.6% and 90.5% of CPU time for the tested examples on the average, respectively.

Generation of Transparent-Scan Sequences for Diagnosis of Scan Chain Faults

Diagnosis of scan chain faults is important for yield learning and improvement. Procedures that generate tests for diagnosis of scan chain faults produce scan-based tests with one or more functional capture cycles between a scan-in and a scan-out operation. The approach to test generation referred to as transparent-scan has several advantages in this context. (1) It allows functional capture cycles and scan shift cycles to be interleaved arbitrarily. This increases the flexibility to assign to the scan cells values that are needed for diagnosis. (2) Test generation under transparent-scan considers a circuit model where the scan logic is included explicitly. Consequently, the test generation procedure takes into consideration the full effect of a scan chain fault. It thus produces accurate tests. (3) For the same reason it can also target faults inside the scan logic. (4) Transparent-scan results in compact test sequences. Compaction is important because of the large volumes of fail data that scan chain faults create. The cost of transparent-scan is that it requires simulation procedures for sequential circuits, and that arbitrary sequences would be applicable to the scan select input. Motivated by the advantages of transparent-scan, and the importance of diagnosing scan chain faults, this paper describes a procedure for generating transparent-scan sequences for diagnosis of scan chain faults. The procedure is also applied to produce transparent-scan sequences for diagnosis of faults inside the scan logic.

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.

Topological Approach to Automatic Symbolic Macromodel Generation for Analog ICs

In the field of analog integrated circuit design, small-signal macromodels play indispensable roles. However, the subject of automatically generating symbolic low-order macromodels in human readable circuit form has not been well studied. Traditionally, work has been published on reducing full-scale symbolic transfer functions to simpler forms, but without the guarantee of interpretability. In this work a topological reduction method is introduced which is able to automatically generate interpretable macromodel circuits in symbolic form; that is, the circuit elements in the compact model maintain analytical relations of the parameters of the original full circuit. This type of symbolic macromodel has several benefits that other traditional modeling methods do not offer: firstly, reusability, namely, designer need not repeatedly generate macromodels for the same analog integrated circuit when it is either resized or rebiased; secondly, interpretability, namely, designer may identify directly circuit parameters in the original integrated circuit that are closely related to the dominant frequency characteristics, such as dc gain, gain/phase margins, and dominant poles/zeros, etc. The effectiveness and computational efficiency of the proposed method have been validated by several operational amplifier (opamp) circuit examples.

Leak Stopper: An Actively Revitalized Snoop Filter Architecture with Effective Generation Control

To alleviate high energy dissipation of unnecessary snooping accesses, snoop filter designs have been proposed to reduce snoop lookups. These filters have the problem of decreasing filtering efficiency, and thus usually rely on partial or whole filter reset by detecting block evictions. Unfortunately, the reset conditions occur infrequently or unevenly (named as passive filter deletion). This work proposes the concept of revitalized snoop filter (RSF) design, which can actively renew the destination filter by employing a generation wrapping around scheme for various reference behaviors. We further utilize a sampling mechanism for RSF to timely trigger precise filter revitalizations, so that unnecessary RSF flushing can be minimized. The proposed RSF can be integrated to various inclusive snoop filters and needs only minor change to their designs. We evaluate our proposed design and demonstrate that RSF eliminates 58.6% of snoop energy compared to JETTY on average while inducing only 6.5% of revitalization energy overhead. In addition, RSF eliminates 45.5% of snoop energy compared to stream registers on average and only induces 2.5% of revitalization energy overhead. Overall, these RSFs reduce the total L2 cache energy consumption by 52.1% (58.6%-6.5%) as compared to JETTY and by 43% (45.5%-2.5%) as compared to stream registers. Furthermore, RSF improves the overall performance by 1% to 1.4% on average compared to JETTY and Stream Registers for various benchmark suites.

A Single-Tier Virtual Queuing Memory Controller Architecture for Heterogeneous MPSoCs

Heterogeneous MPSoCs typically integrate diverse cores, including application CPUs, GPUs, and HD coders. These cores commonly share an off-chip memory to save cost and energy, but their memory accesses often interfere with each other, leading to undesirable consequences like a slowdown of application performance or a failure to sustain real-time performance. The memory controller plays a central role in meeting the QoS needs of real-time cores while maximizing the CPU performance. Previous QoS-aware memory controllers are based on a classic two-tier queuing architecture that buffers memory transactions at the first tier, followed by a second tier that buffers translated DRAM commands. In these designs, QoS-aware policies are used to schedule competing transactions at the first stage, but the translated DRAM commands are serviced in FIFO order at the second stage. Unfortunately, once the scheduled transactions have been forwarded to the command stage, newly arriving transactions that may be more critical cannot be serviced ahead of those translated commands that are already queued at the second stage. To address this, we propose a scalable memory controller architecture based on Single-Tier Virtual Queuing (STVQ) that maintains a single-tier of request queues and employs an efficacious scheduler that considers both QoS requirements and DRAM bank states. In comparison with previous QoS-aware memory controllers, the proposed STVQ memory controller reduces CPU slowdown by up to 13.9% while satisfying all frame rate requirements. We propose further optimizations that can significantly increase row-buffer hits by up to 66.2% and reduce memory latency by up to 19.8%.

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.

Low-Power Clock Tree Synthesis for 3D-ICs

We propose efficient algorithms to construct low-power clock tree for through-silicon-via (TSV) based 3D-ICs. We use shutdown gates to save clock tree's dynamic power, which selectively turn off certain clock tree branches to avoid unnecessary clock activities when the modules in these tree branches are inactive. While this clock gating technique has been extensively studied in 2D circuits, its application in 3D-ICs is unclear. In 3D-ICs, a shutdown gate is connected to control signal unit through control TSVs, which may cause placement conflicts with existing clock TSVs in the layout due to TSV's large physical dimension. We develop a two-phase clock tree synthesis design flow for 3D-ICs: (1) 3D abstract clock tree generation based on K-means clustering. (2) Clock tree embedding with simultaneous shutdown gates insertion based on simulated annealing (SA) and a force-directed TSV placer. Experimental results indicate that: (1) The K-means clustering heuristic significantly reduces the clock power by clustering modules with similar switching behavior and close proximity. (2) The SA algorithm effectively inserts the shutdown gates to a 3D clock tree, while considering control TSV's placement. Compared with previous 3D clock tree synthesis technique, our K-means clustering based approach achieves larger reduction in clock tree power consumption while ensuring zero clock skew.

Optimal Scheduling and Allocation for IC Design Management and Cost Reduction

A large semiconductor product company spends hundreds of millions of dollars each year on design infrastructure to meet tapeout schedules for multiple concurrent projects. Resources (servers, EDA tool licenses, engineers, etc.) are limited and must be shared  and the cost per day of schedule slip can be enormous. Co-constraints between resource types (e.g., one license per every two cores (threads)) and dedicated versus shareable resource pools make scheduling and allocation hard. In this paper, we formulate two mixed integer-linear programs for optimal multi-project, multi-resource allocation with task precedence and resource co-constraints. Application to a real-world three-project scheduling problem extracted from a leading-edge design center of anonymized Company X shows substantial compute and license costs savings. Compared to the product company, our solution shows that the makespan of schedule of all projects can be reduced by seven days, which not only saves ~2.7% of annual labor and infrastructure costs, but also enhances market competitiveness. We also demonstrate the capability of scheduling over two dozen chip development projects at the design center level, subject to resource and datacenter capacity limits as well as per-project penalty functions for schedule slips. The design center ended up purchasing 600 additional servers, whereas our solution demonstrates that the schedule can be met without having to purchase any additional servers. Application to a four-project scheduling problem extracted from a leading-edge design center in a non-U.S. location shows availability of up to ~37% headcount reduction during a half-year schedule for just one type of chip design activity.

A Fast Hierarchical Adaptive Analog Routing Algorithm based on Integer Linear Programming

The shrinking design window and high parasitic sensitivity in the advanced technology have imposed special challenges to the analog and RF integrated circuit designers. The state-of-the-art analog routing research tends to favor linear programming to achieve various analog constraints, which, although effective, fails to offer high routing efficiency on its own. In this paper, we propose a new methodology to address such a deficiency based on integer linear programming (ILP) but without compromising the capability of handling any special constraints for the analog routing problems. Our proposed method supports hierarchical routing, which can divide the entire routing area into multiple small heterogeneous regions where the ILP can efficiently derive routing solutions. Distinct from the conventional methods, our algorithm utilizes adaptive resolutions for various routing regions. For a more congested region, a routing grid with higher resolution is employed, whereas a lower-resolution grid is adopted to a less crowded routing region. For a large empty space, routing efficiency can be even boosted by creating more routing hierarchy levels. This scheme is especially beneficial to the analog and RF layouts, which are far sparser than the digital counterpart. The experimental results show that our proposed adaptive ILP-based router is much faster than the conventional ones since it spends much less time for the areas that need no accurate routing anyway. The high efficiency is demonstrated for large circuits and especially sparse layouts along with promising routing quality in terms of analog constraints.

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.

Application-Specific Residential Microgrid Design Methodology

In power system industry, the traditional, non-interactive, and manually-controlled power grid has been transformed to cyber-dominated smart grid. This cyber-physical integration has provided the smart grid with communication, monitoring, computation, and controlling capabilities to improve its reliability, energy efficiency, and flexibility. A microgrid as a localized and semi-autonomous group of smart energy systems, utilizes the above-mentioned capabilities to drive modern technologies such as electric vehicle charging, home energy management, smart appliances, etc. Designing, upgrading, testing, and verifying these microgrids can get too complicated to handle manually. The complexity is due to the wide range of solutions and components that are intended to address the microgrid problems. This paper presents a novel Model-Based Design (MBD) methodology to model, co-simulate, design, and optimize microgrid and its multi-level controllers. It helps us to design, optimize, and validate a microgrid for a specific application. The application rules, requirements, and design-time constraints are met in the designed/optimized microgrid while the implementation cost is minimized. Based on our novel methodology, a design automation, co-simulation, and analysis tool, called GridMAT, is implemented. Our experiments have illustrated that implementing a hierarchical controller reduces the average power consumption by 8% and shifts the peak load for cost saving. Moreover, using our MBD methodology with smart controllers, the total implementation cost decreases by 14%, when upgrading a microgrid, compared to the conventional methodology and 5%, compared to the case where smart controllers are not considered.

Using CoreSight PTM to integrate CRA monitoring IPs in an ARM-based SoC

ARM CoreSight PTM has been widely deployed in recent ARM processors for real-time debugging and tracing of software. Using PTM, the external debugger can extract execution behaviors of applications running on an ARM processor. Recently, some researchers begin to use this feature for other purposes such as fault tolerant computation and security monitoring. This motivated us to develop an external security monitor that can detect control hijacking attacks, of which goal is to maliciously manipulate the control flow of victim applications at attackers disposal. Especially, this paper focuses on detecting a special type of attacks, called code reuse attacks (CRA), which uses a recently-introduced technique that allows attackers to perform arbitrary computation without injecting their code by reusing only the existing code fragments. Our external monitor is attached to the outside of the host system via the system bus and ARM CorSight PTM, and fed with execution traces of a victim application running on the host. As a majority of CRAs violates the normal execution behaviors of a program, our monitor constantly watches and analyzes the execution traces of the victim application and detect a symptom of attacks when the execution behaviors violate certain rules that normal applications are known to adhere. We present two different implementations for this purpose; a hardware-based solution in which all the CRA detection components are implemented in hardware, and a hardware/software mixed solution that can be employed in more resource constrained environment where the deployment of the full hardware level CRA detection is burdensome.

Accelerated Soft-Error-Rate (SER) Estimation for Combinational and Sequential Circuits

Radiation-induced soft errors have posed an increasing reliability challenge to combinational and sequential circuits in advanced CMOS technologies. Therefore, it is imperative to devise fast, accurate and scalable soft error rate (SER) estimation methods as part of cost-effective robust circuit design. This paper presents an efficient SER estimation framework for combinational and sequential circuits, which considers single-event transients (SETs) in combinational logic and multiple cell upsets (MCUs) in sequential elements. A novel top-down memoization algorithm is proposed to accelerate the propagation of SETs, and a general schematic and layout co-simulation approach is proposed to model the MCUs for redundant sequential storage structures. The feedback in sequential logic is analyzed with an efficient time frame expansion method. Experimental results on various ISCAS85 combinational benchmark circuits demonstrate that the proposed approach achieves up to 560.2X times speedup with less than 3\% difference in terms of SER results compared with the baseline algorithm. The average runtime of the proposed framework on a variety of ISCAS89 sequential benchmark circuits is 2.535s, and the runtime is 30.429s for the largest benchmark circuit with more than 1,000 flip-flops and 20,000 gates.

Content-Aware Bit Shuffling for Maximizing PCM Endurance

Recently, phase change memory (PCM) is emerging as a strong replacement for DRAM owing to its many advantages such as non-volatility, high scalability, and so on. However, PCM is still restricted for use as main memory because of its limited write endurance. There have been many methods introduced to resolve the problem by reducing bit flips. Although they have significantly contributed to bit flip reduction, they still have the drawback that the lower bits are flipped more often than the higher bits. The reason is that these methods do not consider the fact that, in general, the lower bits are updated much more frequently than the higher bits. In this paper, we propose a noble content-aware bit shuffling (CABS) technique that minimizes bit flips and evenly distributes them to maximize the lifetime of PCM at the bit level. We also introduce two additional optimizations, namely, addition of an inversion bit and use of an XOR key, to further reduce bit flips. Moreover, CABS is capable of recovering from stuck-at faults by restricting the change in values of stuck-at cells. Experimental results showed that CABS outperformed the existing state-of-the-art methods in the aspect of PCM lifetime extension with minimal overhead. Specifically, CABS achieved up to 48.5% enhanced lifetime compared to the data comparison write (DCW) method, while consuming a few extra resources for metadata. We have also confirmed that CABS is fully applicable to BCH codes as it was able to reduce the maximum number of bit flips in metadata cells by 32.1%.

CDTA: A Comprehensive Solution for Counterfeit Detection, Traceability and Authentication in IoT Supply Chain

The Internet of Things (IoT) is transforming the way we live and work by increasing the connectedness of people and things on a scale that was once unimaginable. However, the vulnerabilities in IoT supply chain have raised serious concerns about the security and trustworthiness of IoT devices and components on them. Testing for device provenance, detection of counterfeit integrated circuits (ICs) and systems, and traceability of IoT devices are challenging issues to address. In this paper, we develop a novel RFID-based system suitable for Counterfeit Detection, Traceability and Authentication in IoT supply chain called CDTA. CDTA is composed of different types of on-chip sensors and in-system structures that collect necessary information to detect multiple counterfeit IC types (recycled, cloned, etc.), track and trace IoT devices, and verify the overall system authenticity. Central to CDTA is an RFID tag employed as storage and a channel to read the information from different types of chips on the printed circuit board (PCB) in both power-on and power-off scenarios. A novel board ID generator is implemented by combining outputs of physical unclonable functions (PUFs) embedded in RFID tag and different chips on the PCB. A light-weight RFID protocol is proposed to enable mutual authentication between RFID readers and tags. We also implement a secure inter-chip communication on the PCB. Simulations and experimental results using Spartan 3E FPGAs demonstrate the effectiveness of this system. The efficiency of the radio frequency (RF) communication has also been verified via a PCB prototype with a printed slot antenna.

Temperature Effect Inversion Aware Dynamic Thermal Management for FinFET Circuits

Due to the superb characteristics, FinFETs have emerged as a promising replacement for planar CMOS devices in sub-20nm CMOS technology nodes. However, based on extensive simulations, we have observed that the gate delay vs. temperature characteristics of FinFET circuits may be fundamentally different from that of the conventional bulk CMOS circuits, i.e., the delay of a FinFET circuit decreases with increasing temperature even in the super-threshold supply voltage regime. Fur- thermore, with the optimal buffer insertion, we have observed that interconnect delay of the FinFET circuits may follow the same trend for the temperature change. Unfortunately, the leakage power dissipation of the FinFET-based circuits increases exponentially with the temperature. These two trends give rise to a tradeoff between delay and leakage power as a function of the chip temperature, and hence, lead to the definition of an optimum chip temperature operating point (i.e., one that balances concerns about the circuit speed and power efficiency.) This paper presents the results of our investigations into the aforesaid temperature effect inversion (TEI) and proposes a novel dynamic thermal management (DTM) algorithm, which exploits this phenomenon to minimize the energy consumption of FinFET circuits without any appreciable performance penalty. Experi- mental results demonstrate that significant energy saving (as high as 36%, with no performance penalty) can be achieved by the proposed TEI-aware DTM approach compared to the best-in-class DTMs that are unaware of this phenomenon.

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.


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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)
Naehyuck Chang ACM Distinguished Member (2012)
ACM Senior Member (2007)
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)
Prosenjit Gupta ACM Senior Member (2008)
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
Partha Chakrabarti 10
TingTing Hwang 9
Sachin Sapatnekar 9
Lei He 8
Yaowen Chang 8
Spyros Tragoudas 7
Yunheung Paek 7
Evangeline Young 7
Frank Vahid 7
Massoud Pedram 7
Pallab Dasgupta 7
Danny Wong 7
Luca Benini 7
Taewhan Kim 6
Martin Wong 6
Alexandru Nicolau 6
John Hayes 6
Bhargab Bhattacharya 6
Ryan Kastner 6
Chengkok Koh 6
Radu Marculescu 6
Sudhakar Reddy 6
Igor Markov 6
Ali Dasdan 5
Sule Ozev 5
Sharad Malik 5
David Pan 5
Ramesh Karri 5
Kiyoung Choi 5
Kaushik Roy 5
Mahmut Kandemir 5
Umit Ogras 5
Jenqkuen Lee 5
Preeti Panda 5
Rajeev Kumar 5
Aviral Shrivastava 5
Giovanni De Micheli 5
Andrew Kahng 5
Tony Givargis 5
Nagarajan Ranganathan 5
Roman Lysecky 5
Chungkuan Cheng 5
Chialin Yang 4
Rajesh Gupta 4
Kwangting Cheng 4
Zijiang Yang 4
Sunil Khatri 4
Jingyang Jou 4
El Aboulhamid 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
Yuanhao Chang 4
Hungming Chen 4
Sunyuan Hsieh 4
Hans Wunderlich 4
Chang Liu 4
Jintai Yan 4
Allen Wu 4
Naehyuck Chang 4
Miodrag Potkonjak 4
Paul Gratz 4
Jongeun Lee 4
Dinesh Mehta 4
Franco Fummi 4
Paulo Flores 4
Hai Zhou 4
Dirk Stroobandt 4
Zonghua Gu 4
Azadeh Davoodi 4
Shihchieh Chang 3
Xianlong Hong 3
Greg Stitt 3
Li Wang 3
Chakkuen Wong 3
Waikei Mak 3
Seda Memik 3
Yuan Xie 3
Karel Bruneel 3
Bijan Alizadeh 3
Henk Corporaal 3
Dimitrios Kagaris 3
Praveen Raghavan 3
Martin Lukasiewycz 3
Soonhoi Ha 3
Valeria Bertacco 3
Viktor Prasanna 3
Diana Marculescu 3
Jürgen Teich 3
Ronald Blanton 3
Zili Shao 3
Ozgur Sinanoglu 3
Paolo Prinetto 3
Sebastian Steinhorst 3
Paoann Hsiung 3
Sreejit Chakravarty 3
Wen Jone 3
Guangming Wu 3
Axel Jantsch 3
Janet Roveda 3
Guy Gogniat 3
Sisira Panda 3
Zoran Salcic 3
Dipankar Das 3
Prabhat Mishra 3
Masanori Kurimoto 3
Yuchin Hsu 3
Xiaoyu Song 3
Yunsi Fei 3
Anna Bernasconi 3
Ozcan Ozturk 3
Arnout Vandecappelle 3
Chenjie Yu 3
Peter Cheung 3
Costas Goutis 3
Youngsoo Shin 3
Chungwen Huang 3
Shiyu Huang 3
Karem Sakallah 3
Valentina Ciriani 3
Alberto Sangiovanni-Vincentelli 3
Mehdi Tahoori 3
Juan Maestro 3
Massimo Poncino 3
Fadi Kurdahi 3
Partha Roop 3
Tsungyi Ho 3
Gianpiero Cabodi 3
Seongnam Kwon 3
Soheil Ghiasi 3
Sarma Vrudhula 3
Kurt Keutzer 3
Pai Chou 3
Thambipillai Srikanthan 3
Yowtyng Nieh 3
Martin Palkovič 3
Pedro Reviriego 3
Daniel Gajski 3
Xiangrong Zhou 3
Yi Wang 3
Madhu Mutyam 3
David Atienza 3
Majid Sarrafzadeh 3
Per Kjeldsberg 3
Janak Patel 3
José Monteiro 3
Baris Taskin 3
Hai Wang 3
Chiuwing Sham 3
Edwin Sha 3
Domenic Forte 3
Dong Xiang 3
Yinhe Han 3
Nicholas Zamora 3
Saojie Chen 3
Yiping You 3
Priyank Kalla 3
Elizabeth Rudnick 3
Enrico Macii 3
Ankur Srivastava 3
Shuvra Bhattacharyya 3
Krishnendu Chakrabarty 3
Twan Basten 3
Teiwei Kuo 3
George Constantinides 3
Hao Yu 3
José Güntzel 2
Sandeep Shukla 2
Xin Li 2
David Hély 2
Eduard Cerny 2
Jun Gu 2
Poyuan Chen 2
Junji Sakai 2
Abhijit Jas 2
Jaume Abella 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
Manfred Glesner 2
Magdy Abadir 2
Jim Holt 2
Adnan Aziz 2
Tajana Rosing 2
Željko Žilić 2
Saraju Mohanty 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
Hongbing Fan 2
Elaheh Bozorgzadeh 2
Shantanu Dutt 2
Paul Bogdan 2
Hiren Patel 2
Yongje Lee 2
Jinyong Lee 2
Qing Duan 2
Jos Huisken 2
Chiaming Chang 2
Donald Thomas 2
S Ramesh 2
Francisco Cazorla 2
Matteo Reorda 2
Guido Araújo 2
Kiwook Kim 2
Maurizio Rebaudengo 2
Russell Tessier 2
Kyumyung Choi 2
Srinivas Devadas 2
Vigyan Singhal 2
Ismail Kadayif 2
Levent Aksoy 2
Smita Bakshi 2
Siddhartha Mukhopadhyay 2
Rudy Lauwereins 2
Srinivas Katkoori 2
Andreas Dandalis 2
Guolong Chen 2
Janming Ho 2
Sudhakar Yalamanchili 2
Qinru Qiu 2
Deepak Mathaikutty 2
Robert Walker 2
Sanghamitra Roy 2
Haibao Chen 2
Gary Dispoto 2
Jun Yang 2
Cheng Wang 2
Natarajan Viswanathan 2
Román Hermida 2
Tsungyi Ho 2
Picheng Hsiu 2
Christophe Wolinski 2
Alper Sen 2
Yongjoo Kim 2
Wim Heirman 2
Dimitrios Soudris 2
Zebo Peng 2
Sivaram Gopalakrishnan 2
Jagannathan Ramanujam 2
Erik Brockmeyer 2
Inki Hong 2
Duncan Walker 2
Farinaz Koushanfar 2
Naiwen Chang 2
Masahiro Fujita 2
Chiachun Tsai 2
Chrystian Guth 2
Yuliang Wu 2
Jhihrong Gao 2
Seokhyeong Kang 2
Sarmishtha Ghoshal 2
Hafizur Rahaman 2
Koushik Chakraborty 2
Jin Sun 2
Jun Zeng 2
Haibo Zeng 2
Kees Goossens 2
Krzysztof Kuchcinski 2
Yvon Savaria 2
Xin Yuan 2
Peng Li 2
Shmuel Wimer 2
Rafal Baranowski 2
Bin Liu 2
Kaihui Chang 2
Pochun Huang 2
Bocheng Lai 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
Chiajui Hsu 2
José Pino 2
Jochen Jess 2
Dongsheng Ma 2
Joann Paul 2
Konstantin Moiseev 2
Jun Yang 2
Luigi Carro 2
Chingren Lee 2
Leyla Nazhandali 2
Timothy Sherwood 2
Akash Kumar 2
Swaminathan Narayanaswamy 2
Chienchih Huang 2
Chinlong Wey 2
Jwu Chen 2
Shihhao Hung 2
Wayne Wolf 2
Graziano Pravadelli 2
John Gough 2
Hai Wang 2
Mateo Valero 2
Avinash Malik 2
Jörg Henkel 2
Swarup Bhunia 2
Susmita Sur-Kolay 2
Guangyu Chen 2
Paul Thadikaran 2
Marc Boulé 2
Younlong Lin 2
C Shi 2
Yiyu Shi 2
Arnab Roy 2
Laungterng Wang 2
Xing Huang 2
Peter Milder 2
Hui Liu 2
Guihai Yan 2
Ricardo Reis 2
Siddharth Garg 2
Nicola Bombieri 2
Jiping Liu 2
Radu Marculescu 2
Puneet Gupta 2
Hsinhung Chen 2
Maria Michael 2
Mohammad Arjomand 2
Sujit Dey 2
Bo Zhao 2
James Cain 2
Leonid Mats 2
Marco Bekooij 2
Franjo Ivančić 2
Zhiwei Qin 2
Mark Tehranipoor 2
Fei Su 2
Wayne Luk 2
P Chakrabarti 2
Matthew Guthaus 2
Gustavo Wilke 2
Julien Schmaltz 2
Markus Püschel 2
Doosan Cho 2
Jingyang Jou 2
Vinícius Livramento 2
Francesco Poletti 2
Miguel Miranda 2
Mary Irwin 2
Ingoo Heo 2
Hsiangpang Li 2
Marlin Mickle 2
Hiroaki Inoue 2
Kanupriya Gulati 2
Sudip Roy 2
Luís Silveira 2
Vivek Sarin 2
Ali Afzali-kusha 2
Yiyu Liu 2
Deming Chen 2
José Mendías 2
Ronald Graham 2
M Balakrishnan 2
Stan Liao 2
Mike Lee 2
Ansuman Banerjee 2
Sreeranga Rajan 2
Avinoam Kolodny 2
Michael Kochte 2
Erik Marinissen 2
Genggeng Liu 2
Wenzhong Guo 2
Meeta Srivastav 2
Bart Mesman 2
Muhammet Ozdal 2
Samarjit Chakraborty 2
Bei Yu 2
Peiwen Luo 2
Dawei Chang 2
Shenchih Tung 2
Mario López 2
Kun Yuan 2
Arcot Sowmya 2
Rajdeep Mukhopadhyay 2
Yiyu Shi 2
Peichen Pan 2
Chung Tsao 2
Murali Jayapala 2
Javed Absar 2
Lei Li 2
Swapna Dontharaju 2
Dakai Zhu 2
Chinhsien Wu 2
Chao Wang 2
Meikang Qiu 2
Masato Edahiro 2
Angeliki Kritikakou 2
Aiqun Cao 2
Roberto Passerone 2
Luciano Lavagno 2
Koen Van Eijk 1
Qin Zhao 1
Yentai Lai 1
Michele Malgeri 1
Maciej Ciesielski 1
Kumar Lalgudi 1
Marios Papaefthymiou 1
Songra Pan 1
Graeme Gange 1
Alan Hu 1
Xiaowei Li 1
Cristiana Bolchini 1
Frédéric Vivien 1
Paul Chau 1
Chingyi Huang 1
Adam Teman 1
Pascal Meinerzhagen 1
Ramprasath S 1
Wei Zhang 1
Yichung Chen 1
Qing Dong 1
David Westwick 1
Renan Netto 1
Zhiliang Qian 1
Jian Kuang 1
Robert Elio 1
Chuansheng Dong 1
Debashri Roy 1
Debasis Mitra 1
Yunfeng Yang 1
El Bourennane 1
Cong Xu 1
Shimeng Yu 1
Stavros Hadjitheophanous 1
Mohammad Samavatian 1
Yingchi Li 1
Anand Raghunathan 1
Ran Wang 1
Zaid Al-bayati 1
Lizhong Chen 1
Phuong Nguyen 1
Joachim Falk 1
Stefan Gheorghita 1
Andreas Hansson 1
Hang Su 1
Robert Johnson 1
Prasenjit Basu 1
Daniel Kroening 1
Shenghua Liu 1
Carlos Fernández 1
Chris Bleakley 1
Bo Wang 1
Wonyong Sung 1
Amit Agarwal 1
Mehrdad Majzoobi 1
Chunan Chen 1
Duo Li 1
Peiyu Huang 1
Xijiang Lin 1
Les Walczowski 1
Dilvan Moreira 1
Venkat Thanvantri 1
Andrew DeOrio 1
Jie Gong 1
Antara Ain 1
Shangping Ren 1
J Van Eijnhoven 1
Alex Doboli 1
Hai Lin 1
Chungki Oh 1
Mengchen Wu 1
Jingqing Mu 1
Kiseok Chung 1
Richard Brown 1
Erik D'Hollander 1
Michel Renovell 1
Juergen Schloeffel 1
Sandip Das 1
Ganesh Gopalakrishnan 1
LiehMing Wu 1
Chuanjun Zhang 1
Mark Johnson 1
Alexios Birbas 1
Yaping Lin 1
Lu Sha 1
Mottaqiallah Taouil 1
Gang Chen 1
Reinhardt Euler 1
Yuzhen Niu 1
Bo Yao 1
James Hoe 1
Pingqiang Zhou 1
Venkataramanan Balakrishnan 1
Bradley Carlson 1
Michael Gester 1
Sounil Biswas 1
Steven Wilton 1
Chengan Chien 1
Chiaheng Tu 1
Gustavo Tellez 1
Seongseok Seo 1
Rafael Moreno 1
Daler Rakhmatov 1
Vijay D'Silva 1
Sri Parameswaran 1
Younghwan Park 1
Mirko Loghi 1
Xrysovalantis Kavousianos 1
Kazuhisa Ishizaka 1
Wenyi Chen 1
Miquel Moretó 1
Sudip Poddar 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
Sezer Gören 1
F Ferguson 1
Ruibing Lu 1
Dian Zhou 1
John Emmert 1
Jinian Bian 1
Haikun Zhu 1
Gang Chen 1
Johan Van Praet 1
Werner Geurts 1
Eduardo Pacheco 1
Hiroaki Suzuki 1
Tadao Yamanaka 1
Haruyuki Ohkuma 1
Alex Kondratyev 1
Hamid Mahmoodi 1
Zhifang Li 1
Lihua Yue 1
Chengjuei Yu 1
YiHsin Wu 1
Etem Deniz 1
Kazutoshi Wakabayashi 1
Xuchu Hu 1
Baoxian Zhao 1
Garng Huang 1
Farshad Firouzi 1
Tian Zhang 1
Savithri Sundareswaran 1
Fahimeh Jafari 1
Tomvander Aa 1
Hasan Arslan 1
Jimson Mathew 1
Haibo Wang 1
Alokika Dash 1
ShihCheng Tsai 1
Yongjin Ahn 1
Michael Kishinevsky 1
Jean Rolt 1
Siddharth Jain 1
Scott Chilstedt 1
Jinho Lee 1
Rohit Ramanujam 1
Bill Lin 1
Manoj Sachdev 1
Adit Singh 1
Turker Kuyel 1
Gustavo Neuberger 1
Lakshmi Chakrapani 1
Angchih Hsieh 1
Olinto Furtado 1
Tim Tuan 1
Donghwa Shin 1
Yongsoo Joo 1
Moritz Schmid 1
Sandip Kundu 1
Ryan Cochran 1
Atsuto Hanami 1
Weifeng He 1
Juyueh Lee 1
Juan Clemente 1
Kuolin Peng 1
Denis Flandre 1
Steven Nowick 1
Zainalabedin Navabi 1
David Berner 1
Calin Ciordas 1
Stefan Pees 1
Heinrich Meyr 1
Hui Huang 1
Giuseppe Mangioni 1
Chiennan Liu 1
Chiachun Tsai 1
J Ramanujam 1
Dipankar Sarkar 1
Ted Szymanski 1
Udo Kebschull 1
Bruno Lavigueur 1
Soumendu Bhattacharya 1
Min Xie 1
Steven Wilton 1
Nizar Dahir 1
Terrence Mak 1
Jianhua Li 1
Liang Shi 1
Mitchell Thornton 1
Mario Leung 1
Alan Su 1
Ryan Rakib 1
YuHsin Kuo 1
Junxia Ma 1
Muhammad Pasha 1
Debapriya Chatterjee 1
Gianpiero Cabodi 1
Yiding Han 1
Antonio Pérez 1
Jay Brockman 1
Praveen Murthy 1
Mohammed Khatib 1
Jiunlang Huang 1
AnPing Wang 1
Pai Chou 1
Waichung Tang 1
ChoonYik Tang 1
Tiansi Hu 1
Jinjun Xiong 1
Robert Dick 1
YongHwan Kim 1
David Blaauw 1
ChunDa Du 1
Byunghyun Lee 1
D Van Campenhout 1
Rick McGeer 1
Trevor Mudge 1
Chunghsiang Lin 1
Miad Faezipour 1
Ilia Polian 1
Ken Kennedy 1
Luc Bianco 1
Pradip Jha 1
Miron Abramovici 1
Robert Rinker 1
Ingrid Verbauwhede 1
Ugur Sezer 1
Chunkai Wang 1
Chingyu Chin 1
Dejun Mu 1
Mohit Tiwari 1
Xueliang Li 1
Bren Mochocki 1
Weiyu Tang 1
Pejman Lotfi-Kamran 1
Mohammad Hosseinabady 1
Robert Schreiber 1
Meenakshi Kaul 1
Alex OrailoĞLu 1
Steffen Schlueter 1
Chunyao Wang 1
Chinghsuan Ho 1
Rickard Ewetz 1
Ya Wang 1
Yue Zhao 1
Kenneth Stevens 1
Seungwon Kim 1
Taemin Lee 1
Hyunsun Park 1
Junwhan Ahn 1
Sparsh Mittal 1
Nitin Chandrachoodan 1
Qingbo Wu 1
Dongha Jung 1
Dimin Niu 1
William Robinson 1
Brahim Al Farisi 1
James Harbin 1
Lei Jiang 1
Jingwei Lu 1
Chulhong Park 1
Qinke Wang 1
Sayantan Das 1
Michael Taylor 1
Eddie Hung 1
SueHong Chow 1
Yenchun Lin 1
Karin Avnit 1
Sudeep Pasricha 1
Hsiangyun Cheng 1
Huahsin Yeh 1
Jinkyu Koo 1
Hu Chen 1
Anupama Subramaniam 1
V Kamakoti 1
Seonwook Kim 1
Sharat Prasad 1
Yuzheng Ding 1
David Whalley 1
ChuangYi Chiu 1
Zhihua Zhou 1
Ingjer Huang 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
Arijit Ghosh 1
C Krishna 1
Kaijie Wu 1
Wennai Cheng 1
Guoqiang Chen 1
Xuan Guan 1
Yunchih Chang 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
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
Chen Zhao 1
Stefan Holst 1
Michael Imhof 1
Tong Xu 1
Navin Vemuri 1
Andreas Raabe 1
Philipp Hartmann 1
Rajeev Jayaraman 1
Abusaleh Jabir 1
George Viamontes 1
Yuru Hong 1
Yuwei Wu 1
Ganesh Gingade 1
Qixiao Liu 1
Philippe Grosse 1
Yves Durand 1
Owen Farell 1
Guoqing Chen 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
Mauricio Ayala-Rincón 1
Jason Cheatham 1
Hannahhonghua Yang 1
Qiang Zhou 1
Paul Pop 1
Traian 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
Fabrizio Lombardi 1
QingPing Tan 1
Bruno Girodias 1
Youcef Bouchebaba 1
Gabriela Nicolescu 1
Swaroop Ghosh 1
Jinfeng Liu 1
Maurice Bruynooghe 1
Karam Chatha 1
Mukund Narasimhan 1
Naran Sirisantana 1
Alex Yakovlev 1
Yinlong Xu 1
Hai Zhou 1
Seyed Miremadi 1
Ali Mirtar 1
Jerry Backer 1
Karel Heyse 1
Siyu Yue 1
Hongfei Wang 1
Zhuo Li 1
Jiunin Guo 1
Sandip Kundu 1
Milagros Férnandez 1
Prosenjit Gupta 1
Srinivas Patil 1
Shirshendu Das 1
Jan Allebach 1
Prasenjit Chakraborty 1
Ahish Somashekar 1
Yier Jin 1
Apostolos Kountouris 1
Elisenda Roca 1
Jun Ma 1
Yu Hu 1
Mojtaba Ebrahimi 1
Mingsong Chen 1
Laurence Pierre 1
Youngsik Kim 1
Pallav Gupta 1
Takyung Kim 1
Jan Stuijt 1
Harmke De Groot 1
Arpit Joshi 1
Wei Dong 1
Fayez Mohamood 1
Wei Li 1
Carlos Llanos 1
Sanjukta Bhanja 1
Ishwar Parulkar 1
Chris Chu 1
Murli Tirumala 1
Mingxuan Yuan 1
Xiuqiang He 1
Rei Akiyama 1
Wenjian Luo 1
Talal Bonny 1
Kyoungwoo Lee 1
Shengde Wang 1
Norbert Wehn 1
Anup Gangwar 1
Michel Israel 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
Sungkyu Lim 1
Román Hermida 1
Wei Wu 1
Krishna Palem 1
Eugenio Villar 1
Youngpyo Joo 1
Davide Bertozzi 1
Kishore Muchherla 1
Luiz Santos 1
Brett Brotherton 1
Panagiotis Manolios 1
Wilsin Gosti 1
Christopher Batten 1
Manuel Prieto 1
Yiwen Shi 1
R Iris Bahar 1
Shravan Muddasani 1
Srinivas Boppu 1
John Lee 1
Luca Benini 1
Hiroyuki Kondo 1
Zhe Feng 1
Zhigang Mao 1
Chien Liu 1
Nastaran Baradaran 1
David Bol 1
Paul Franzon 1
Mango Chao 1
Andreas Hoffmann 1
Scott Mahlke 1
Su Gao 1
Feipei Lai 1
Vincenza Carchiolo 1
Alessandro Bogliolo 1
Niall O'Neill 1
Doris Ching 1
Roopak Sinha 1
Shobha Vasudevan 1
Mohamed Basiri M 1
Zhaoliang Pan 1
Christoph Kern 1
Wei Zhao 1
Sreejit Chakravarty 1
Hungyi Li 1
Vladimir Zolotov 1
Stefano Quer 1
Henrik Esbensen 1
Li Shang 1
Zhuo Feng 1
Santiago Rodríguez 1
Maria García 1
Marc Heijligers 1
Weitong Chuang 1
Einar Aas 1
Sagar Sabade 1
Xiaoping Tang 1
Jaehwanjohn Lee 1
Subhankar Mukherjee 1
Pallab Dasgupta 1
Ruijing Shen 1
Diederik Verkest 1
David Kolson 1
Kuochen Wang 1
Jun Chen 1
Franck Yonga 1
Ling Li 1
Yunji Chen 1
Hakan Yalcin 1
Chinchi Teng 1
Chibang Kuan 1
Ahcène Bounceur 1
Phillip Jones 1
Jinnshyan Wang 1
Chengyang Fu 1
Xiaoyao Liang 1
ChengTsung Hwang 1
Sudhakar Muddu 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
Frederic Rousseau 1
Matin Hashemi 1
Hiroyuki Tomiyama 1
Wooyoung Jang 1
Benjamin Schafer 1
Guilherme Flach 1
Yenlung Chen 1
Haifeng Qian 1
Eamonn O'Toole 1
Marisa López-Vallejo 1
Fred Meyer 1
Subhrajit Bhattacharya 1
Gary Yeap 1
Qi Wang 1
Pierre Paulin 1
Chris Ostler 1
Gang Wang 1
Balakrishnan Iyer 1
Shyhjye Jou 1
Zhong Wang 1
Gokul Kandiraju 1
Xiao Liu 1
Guoyong Shi 1
Eduardo Costa 1
Tayung Liu 1
Kerstin Eder 1
Sean Liu 1
Fatma Abouelella 1
Tom Davidson 1
Yumin Lee 1
Yifang Liu 1
Sylvain Clerc 1
Fabian Firmin 1
Xiongfei Liao 1
Antonio Garcia-Dopico 1
Adrian Nunez-Aldana 1
Yici Cai 1
Stefanus Mantik 1
Puneet Gupta 1
Fangfang Li 1
Mark Yeary 1
Hai Lin 1
Vissarion Ferentinos 1
Dennis Sylvester 1
Erwan Raffin 1
Nakwoong Eum 1
K Yuan 1
Noor Sk 1
Hsienkai Kuo 1
Zainalabedin Navabi 1
Amit Chowdhary 1
John Lillis 1
João Marques-Silva 1
Furshing Tsai 1
Arne Meeuw 1
Taeyoung Kim 1
Vikas Vij 1
Jiang Hu 1
Youngmin Kim 1
Kijin Han 1
Mark Lin 1
Toru Fujimura 1
Jinglei Huang 1
Song Chen 1
Sangmin Kim 1
Chiying Tsui 1
Peishan Tu 1
Sebastian Fischmeister 1
Chao Wang 1
Yu Cao 1
Sobhanbabu Ch 1
Bowen Zheng 1
Ye Zhang 1
Changhao Yan 1
Xuan Zeng 1
Fabian Oboril 1
Mineo Kaneko 1
Haralampos Pozidis 1
Nikolaos Papandreou 1
Andrew Walls 1
Gilberto Ochoa-Ruiz 1
Siva Boga 1
Vassos Soteriou 1
Minsu Kim 1
Ngai Wong 1
Debdeep Mukhopadhyay 1
Durga Sahoo 1
Thomas Schlichter 1
Michel Langevin 1
Rok Sosic 1
Charles Alpert, 1
YiCheng Ho 1
ChihDa Chien 1
Juichin Chu 1
Andrew Huber 1
Selvaraj Ravi 1
Nadereh Hatami 1
Reeshav Kumar 1
Reinhard Schneider 1
Peng Li 1
Mohammed Ehteshamuddin 1
Heejong Park 1
Jian Liu 1
Qi Zhang 1
Sara Vinco 1
Vinay Verma 1
PoHsien Chang 1
WeiChung Chao 1
Mahir Turkcan 1
Deming Chen 1
Jaekyu Lee 1
Kumar Parthasarathy 1
Pablo Del Valle 1
Giacomo Paci 1
Lingling Jin 1
YoungMin Yi 1
Mohamed Bechara 1
Tathagato Dastidar 1
Nikhil Saluja 1
Pinhong Chen 1
Jeff White 1
Shakith Fernando 1
Adam Postula 1
Anuja Sehgal 1
Frank Hannig 1
Yu Cao 1
Karthik Shankar 1
Song Liu 1
Ge Yu 1
Daniel Mozos 1
Javier Resano 1
KuangCyun Hsiao 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
James Huggins 1
Claudio Passerone 1
Alfredo Benso 1
Annette Bunker 1
Michael Birbas 1
Chinchih Chang 1
Pengwen Chen 1
Kai Huang 1
Chengyen Lin 1
Sudhanshu Vyas 1
Alois Knoll 1
Guangyu Sun 1
Huazhong Yang 1
Rensong Tsay 1
Xiaowei Li 1
Maciek Kormicki 1
Yuning Chang 1
Rajkumar Raval 1
Carl Pixley 1
Yang Xu 1
Libo Huang 1
Jongwon Lee 1
Rico Backasch 1
Xuandong Li 1
Malgorzata Marek-Sadowska 1
Sudheendra Kadri 1
Junhee Yoo 1
Keesung Han 1
Hyunjik Song 1
Hai Li 1
Jiang Hu 1
Marie Flottes 1
Alex Jones 1
Aiman El-Maleh 1
Egor Sogomonyan 1
Wangqi Qiu 1
Zhuo Li 1
Pokuan Huang 1
Suchismita Roy 1
Mingyung Ko 1
Suren Ramasubbu 1
TzuTeng Lin 1
Michalis Galanis 1
Fernando Herrera 1
Paul Mesa 1
Sungchan Kim 1
Iyad Al Khatib 1
Rustam Nabiev 1
Jacopo Panerati 1
Sanjiv Narayan 1
Minsik Cho 1
Tsuyoshi Abe 1
Robert CzerwińSki 1
Hao Wu 1
Zhenghong Zhang 1
Yuming Chang 1
Piyoosh Nair 1
Sandeep Sen 1
Parthasarathi Dasgupta 1
Georges Gielen 1
Farid Najm 1
Bo Liu 1
Yiping Fan 1
Pedro Morgado 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
Narender Hanchate 1
Marco Sgroi 1
Rainer Dömer 1
Dannyziyi Chen 1
Christos Papachristou 1
Duo Li 1
Lei Jiang 1
Trevor Hodges 1
Hiroto Yasuura 1
I Tsai 1
David Landis 1
Peng Yang 1
Maogang Wang 1
Incheol Park 1
Gernot Koch 1
Fei He 1
Yuke Wang 1
Yuki Kobayashi 1
Masaharu Imai 1
Gerhard Dueck 1
David Miller 1
Peter Vanbroekhoven 1
Riccardo Scarsi 1
Anand Sivasubramaniam 1
Sunil Chappidi 1
Hyunggyu Lee 1
Jongman Kim 1
Celina Val 1
Gang Quan 1
Sumit Mohanty 1
CP Ravikumar 1
Jay Roy 1
Suman Datta 1
Ujjwal Guin 1
Chang Xu 1
Peixin Li 1
Andrew Kennings 1
Xiaoqing Xu 1
Wenchao Zhang 1
Shengxi Diao 1
Pangbo Wu 1
Ramachandran Venkatasubramanian 1
Daniel Casarotto 1
Peter Hawrylak 1
Jonathan Valamehr 1
Ted Huffmire 1
Yajun Ha 1
I Tseng 1
Amit Singh 1
Kiamal Pekmestzi 1
Vahid Lari 1
Ayse Coskun 1
Somsubhra Mondal 1
Qingxu Deng 1
Gaurav Dhiman 1
Jean Legat 1
Chih Lin 1
Tao Feng 1
Syed Suhaib 1
Andrei Rădulescu 1
Geneeu Jan 1
Steven Bashford 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
Baolei Mao 1
Jason Oberg 1
Anche Cheng 1
Sam Bayless 1
Bojan Maric 1
Alexander Veidenbaum 1
Chieh Changfan 1
Yungchih Chen 1
Luca Benini 1
Davide Rossi 1
Roozbeh Jafari 1
Vinita Vasudevan 1
Yang Xu 1
Jaeyeon Won 1
Gong Chen 1
Shigetoshi Nakatake 1
Fei Xia 1
Rajib Nath 1
Yenjen Chang 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
Naveed Sherwani 1
Yuchun Ma 1
Sheqin Dong 1
Bo Wang 1
Karim Khordoc 1
Shianling Wu 1
Jiwon Hahn 1
Mahshid Roumi 1
Takkei Lam 1
Chiaheng Tu 1
John Havlicek 1
TzuYin Lin 1
Thanos Stouraitis 1
MingChing Lu 1
Lipin Chang 1
Chifeng Li 1
ChiaoChen Fang 1
Upavan Gupta 1
Venkataraman Mahalingam 1
Bernd Becker 1
Jeonghun Cho 1
Ritayu Chen 1
Eddie Cheng 1
Jiliang Zhang 1
Christian Buckl 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
Érika Cota 1
Nima Darav 1
Chelun Hsu 1
Fujiang Lin 1
Sungkwang Lee 1
Hokyoon Lee 1
Seokhyeong Kang 1
Thomas Griffin 1
Evangelos Eleftheriou 1
Florent De Lamotte 1
Daniel Limbrick 1
Bradley Kiddie 1
Ramin Bashizade 1
Xin Huang 1
Youtao Zhang 1
Qingling Zhao 1
Mohammad Azarbad 1
Martin Streubühr 1
Jens Gladigau 1
Michael Meredith 1
Juan Hamers 1
Brady Hunsaker 1
Scott Brandt 1
Joseph Ganley 1
Yaoguang Wei 1
Cliff Sze 1
Seokhyun Lee 1
Chinghwa Cheng 1
Brett Meyer 1
Chunhan Chen 1
Yokesh Kumar 1
Dimitris Bakalis 1
Suganth Paul 1
Hossein Mehri 1
Keheng Huang 1
Rathish Jayabharathi 1
Laurence Yang 1
Kan Xiao 1
Fulvio Corno 1
Andy Lambrechts 1
Rafael Castro-López 1
Jonathan Clarke 1
Ryan Ketner 1
Michael Hazeltine 1
Xing Hu 1
Shuangchen Li 1
Yining Zhang 1
Lihong Zhang 1
Marcelo Lubaszewski 1
Andrew Kennings 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
Srijan Kumar 1
John Jose 1
Yenpo Ho 1
Fangming Ye 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
Kohei Miyase 1
Michael Gössel 1
Weiping Shi 1
Lei Cheng 1
Paulo Centoducatte 1
Nicholas Callegari 1
Woochul Jeun 1
Youngjin Cho 1
José Gómez 1
Arunachalam Annamalai 1
Israel Koren 1
Yunghsiang Lu 1
Michael Henry 1
Rance Rodrigues 1
Jyothi Velamala 1
Kalyan Saladi 1
Chun Jason Xue 1
Xuehai Zhou 1
Mahadevan Ganapathi 1
ChiShong Wang 1
Bipul Paul 1
Robert Rogenmoser 1
Alessandro Pinto 1
Alvise Bonivento 1
Peter Jamieson 1
Evangeline Young 1
Nalini Venkatasubramanian 1
Xinping Zhu 1
Sandip Ray 1
Jaideep Dastidar 1
David Lindberg 1
Kuanyu Lin 1
Xiaotao Chen 1
Feng Liu 1
Shantanu Ganguly 1
Vijaykumar Ramamurthi 1
Krishnan Srinivasan 1
Qubo Hu 1
Pranav Ashar 1
Yuetsang Chen 1
Ismaïl Chabini 1
Kara Poon 1
Adolfo Palma-Rodriguez 1
Kurt Antreich 1
JingWei Lin 1
Eric Chio 1
Mark Greenstreet 1
Jingjou Tang 1
Yeanyow Hwang 1
Junyan Ren 1
Meihsiang Tsai 1
Yihuang Hung 1
Ernest Kuh 1
Gilles Sicard 1
Yue Yu 1
Cornelis Van Eijk 1
Yangdong Deng 1
Eric Johnson 1
Janusz Brzozowski 1
Srikanth Chandrasekaran 1
TungChieh Tsai 1
Sanghoon Kwak 1
John Backes 1
Marc Riedel 1
Vivek Joshi 1
Bontae Koo 1
Philip Honsinger 1
Michael Moffitt 1
Pedro Diniz 1
Zhiru Zhang 1
Montek Singh 1
Yuze Wu 1
Edward McCluskey 1
Mark Aagaard 1
Carlos Pinto 1
Shail Aditya 1
Avaneendra Gupta 1
Kedar Namjoshi 1
Alain Girault 1
Lingyi Liu 1
Harald Søndergaard 1
Peter Stuckey 1
Wenli Shih 1
Chiara Sandionigi 1
Ilya Issenin 1
Arun Kejariwal 1
Wenyong Deng 1
Hassan Ghasemzadeh 1
Matthias Kauer 1
Dani Tannir 1
William Lee 1
Srinivas Shakkottai 1
Pohsun Wu 1
Laleh Behjat 1
Haomo Tang 1
Yande Jiang 1
Hany Kashif 1
Claudio Talarico 1
Ying Qin 1
Shengyu Shen 1
Huadong Dai 1
Qi Zhu 1
Waishing Luk 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
Jing Zeng 1
P Bannerjee 1
Gagan Hasteer 1
Hsipin Ma 1
Peter Bertels 1
Bettina Braitling 1
Peter Middelhoek 1
Juan De Vicente 1
Raminder Bajwa 1
Qi Guo 1
Olivier Temam 1
Gang Qu 1
Lokwon Kim 1
John Villasenor 1
Marjan Asadinia 1
Hamid Azad 1
Tanja Van Achteren 1
I Hsu 1
Michio Komoda 1
Zhen Chen 1
Menghuan Wu 1
Shihhung Weng 1
Wei Jiang 1
Alan Coppola 1
Yu Liu 1
Tomtong Jing 1
Robi Dutta 1
Shaz Qadeer 1
Ralph Hasholzner 1
Nong Xiao 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
Kyle Stegner 1
Yoonseok Yang 1
Samarjit Chakraborty 1
Chao Wang 1
Jongchul Lee 1
Zhonghai Lu 1
Amit Singh 1
Adam Kaplan 1
Tienfu Chen 1
Jhengsyun Yang 1
F Johnson 1
Osmar Dos Santos 1
Di Zhu 1
Rajat Chakraborty 1
Yejyun Lin 1
Lieven Eeckhout 1
James Cohoon 1
Yi Zhu 1
Hsungpin Chang 1
Lakshmi Reddy 1
Giovanni Beltrame 1
Juinndar Huang 1
Dariusz Kania 1
Yang Guo 1
He Tang 1
Chihao Chen 1
Hemangee Kapoor 1
Yunghsiang Lu 1
N Harsha 1
Sujoy Ghose 1
Sreenivas Gangadhar 1
Renhai Chen 1
Bodhisatwa Mazumdar 1
Marcelo Cintra 1
Margarida Jacome 1
Tan Yan 1
Xiangyang Guo 1
Jeremy Dubeuf 1
Xinyu He 1
Ofer Strichman 1
Songwei Pei 1
Ekaterina Kutsy 1
Shaoxi Wang 1
Kartikey Mittal 1
Michael Healy 1
André Nácul 1
Zhongzhen Wu 1
Chingwei Yeh 1
Keven Dunn 1
Stanley Baumgart 1
Saravanan Padmanaban 1
Stylianos Mamagkakis 1
Karthikeyan Lingasubramanian 1
Sandeep Gupta 1
Rajeshkumar Sambandam 1
Tobias Becker 1
Takayasu Sakurai 1
Jun Seomun 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
Sandro Rigo 1
Plamen Nikolov 1
Max Schultz 1
Yu Hu 1
Roberto Cordone 1
Ronny Krashinsky 1
Antonis Papanikolaou 1
Tomas Pecenka 1
Lukáš Sekanina 1
Zdeněk Kotásek 1
Jennifer Dworak 1
Nuno Alves 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
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
Xufa Wang 1
Subhashis Majumder 1
Jean Berge 1
Mohamed Elwakil 1
Chittaranjan Mandal 1
Joan Lopez 1
ChungHwang Chen 1
JyhMou Tseng 1
Gerda Janssens 1
Wenrui Gong 1
Brian DeRenzi 1
Michael Boyer 1
Srikanth Venkataraman 1
Horácio Neto 1
Joseph Shinnerl 1
Qingan Li 1
Esteban Tlelo-Cuautle 1
Klaus Eckl 1
Andrew Wolfe 1
Yau Li 1
Kuenjong Lee 1
Tsungchu Huang 1
Huankai Peng 1
HsuanMing 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
Matthew Gately 1
Scott Little 1
David Bild 1
Gregory Bok 1
Gauthier Lafruit 1
Claudio Sansoè 1
Piet Engelke 1
Sally McKee 1
Keshab Parhi 1
Alain Pegatoquet 1
Stephen Blythe 1
Ramin Hojati 1
Qing Su 1
Ashok Halambi 1
Patrick Schaumont 1
Sharad Sinha 1
Chakchung Cheung 1
Alain Darte 1
B Rau 1
Sungwoo Hur 1
Ashok Jagannathan 1
Harry Hoster 1
Andreas Burg 1
Bingsheng He 1
Marcela Zuluaga 1
Shiyan Hu 1
Guojie Luo 1
Aysa Tabrizi 1
Bo Yang 1
Youjip Won 1
Prasun Ghosal 1
Myungsun Kim 1
Hyojung Lee 1
Yan Jia 1
Chungwei Lin 1
Ankit More 1
Thomas Parnell 1
Sudipta Bhawmik 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
Daujieu Yang 1
Adam Hartman 1
Huihsin Hsu 1
Jenhao Chen 1
Douglas Keller 1
Jongkyung Paek 1
Enshou Chang 1
Xu He 1
Yao Wang 1
Chi Zhang 1
Megha Gandhi 1
Kevin Lepak 1
Michael Mefenza 1
Jingwei Lu 1
Said Hamdioui 1
Adwait Gupte 1
Nathan Denny 1
J Chen 1
Ying Hu 1
Stephen Cauley 1
U Rovati 1
Ausif Mahmood 1
Sumit Gupta 1
William Hung 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
Baktash Boghrati 1
Minseok Kang 1
Hai Wang 1
Tim Nieberg 1
José Costa 1
Ying Tan 1
Haotse Chen 1
Dacheng Juan 1
Diana Marculescu 1
Gwan Choi 1
Dip Goswami 1
Linzhang Wang 1
Namita Sharma 1
Jean Desbarbieux 1
Emmanuelle Encrenaz 1
Safar Hatami 1
Ganghee Lee 1
Youtao Zhang 1
Zheng Xu 1
Hamid Shojaei 1
Marc Geilen 1
Giorgio Natale 1
Qiang Ma 1
Martin Wong 1
Yaolin Chang 1
Sanghyun Park 1
Arnab Sarkar 1
Swarup Bhunia 1
Giovanni Squillero 1
Viktor Lapinskii 1
Gustavo De Veciana 1
Ibrahim Hajj 1
Vikram Saxena 1
Francisco Fernández 1
Chihhung Liu 1
Syyen Kuo 1
Paul Feautrier 1
Yi Xu 1
Vincent Beroulle 1
Kele Shen 1
Zhi Li 1
Mehdi Kamal 1
Xiaobosharon Hu 1
Xiaofang Wang 1
Xinzhang Jia 1
Filipa Duarte 1
Jun Zhou 1
Hsien Lee 1
Chen Li 1
Kuohua Wang 1
Ricardo Jacobi 1
Zuoyuan Li 1
Tero Rissa 1
Chris Bleakley 1
Hidehiro Takata 1
Yosinori Watanabe 1
Renshen Wang 1
Swarup Das 1
Michael Münch 1
Anshul Kumar 1
Laurent Freund 1
Mohammad Foroozannejad 1
Hassan Salamy 1
J Lee 1
Giri Tiruvuri 1
Franc Breglez 1
Michael Gasteier 1
W Fuchs 1
Ismed Hartanto 1
Koen Danckaert 1
Kuangchien Chen 1
Steven Levitan 1
Noureddine Chabini 1
Yiran Chen 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
Krste Asanović 1
Huaizhi Wu 1
Sudarshan Bahukudumbi 1
Kundan Nepal 1
Francesco Zanini 1
Colin Jones 1
Naifeng Jing 1
Santiago Mok 1
Chaohung Lu 1
Nan Guan 1
Carlos González 1
Jarrod Roy 1
Andrea Calimera 1
Thorlindur Thorolfsson 1
B Rau 1
Mohammad Tehranipour 1
Edwin Naroska 1
ZoltánÁdám Mann 1
Jamil Kawa 1
Dhananjay Kulkarni 1
Edwin Sha 1
Yehchi Chang 1
Gregor Goessler 1
Wei Hu 1
Chia Yen 1
Mohammed Elshoukry 1
Luís Guerra E Silva 1
Hongliang Chang 1
Laurence Goodby 1
Shi Lin 1
Ramin Fallahzadeh 1
Hongfei Wang 1
Fubing Mao 1
Hai Li 1
Hosoon Shin 1
Qihang Shi 1
Wei Zhong 1
Hsiangyu Lu 1
Bernd Wurth 1
Ulf Schlichtmann 1
Olivier Sentieys 1
Pai Chou 1
Saket Gupta 1
Sartaj Sahni 1
Jiang Hu 1
Anjur Krishnakumar 1
Vilasita Kuntamukkala 1
Nagu Dhanwada 1
Steve Tjiang 1
Andrew Cassidy 1
Hua Xiang 1
Arijit Mondal 1
Xiaoqing Wen 1
Xiaoqing Yang 1
Yuliang Wu 1
Bert Geelen 1
Jaehyun Kim 1
Rajeev Rao 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
Christophe Bobda 1
Tianshi Chen 1
Depei Qian 1
Hungsheng Chang 1
Salvador Mir 1
Yoshiaki Fukui 1
Hsinhung Lin 1
YannRue Lin 1
Yihlang Li 1
Mohamed Zahran 1
Douglas Myers 1
Robert Brayton 1
Jonghee Youn 1
Yuan Yuan 1
Christian Hochberger 1
Alexander Weiss 1
Chuangwen Liu 1
Saraju Mohanty 1
James Geraci 1
Priyank Gupta 1
Seetal Potluri 1
A Trinadh 1
Renyuan Zhang 1
Gary Tressler 1
Sebastien Guillet 1
Éric Rutten 1
Jean Diguet 1
Hyungjun Kim 1
Arseniy Vitkovskiy 1
Hamid Sarbazi-Azad 1
Steffen Peter 1
Brentbyunghoon Kang 1
Changho Choi 1
Joachim Keinert 1
Christian Haubelt 1
Koen De Bosschere 1
Gayatri Mehta 1
Mustafa Baz 1
Zhongyi Jin 1
Curt Schurgers 1
Qiang Xu 1
Liling Hung 1
Kunal Ganeshpure 1
Katrina Lu 1
Kuanhsien Ho 1
Dimitris Nikolos 1
Joost Katoen 1
Jian Ma 1
Hernan Gutierrez-Vazquez 1
Sk Ali 1
Guilherme Ottoni 1
Min Zhao 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
Vijay Pitchumani 1
Christian Panten 1
Yoan Lin 1
Marcelo Johann 1
Unmesh Bordoloi 1
Petru Eles 1
Qiuping Yi 1
Zili Shao 1
Kueichung Chang 1
Jihsheng Shen 1
Joachim Anlauf 1
Dhiraj Pradhan 1
Chaowen Tzeng 1
Sami Taktak 1
Jianli Zhuo 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
Concepcion 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
Ahmad Al-Yamani 1
Raid Ayoub 1
Ivan Hom 1
Gert Goossens 1
Dirk Lanneer 1
Joan Carletta 1
Mehrdad Nourani 1
Teemu Pitkänen 1
Hirofumi Shinohara 1
Marcus Schmitz 1
Bashir Al-Hashimi 1
Zhanglei Wang 1
Cécile Belleudy 1
Jayanta Bhadra 1
John Pape 1
Hongting Lin 1
Xiaoke Qin 1
Eren Kursun 1
Siobhán Clarke 1
Padmaraj Singh 1
Wolfgang Rosenstiel 1
ThuydM Le 1
Trongyen Lee 1
Moonjung Chung 1
Gang Chen 1
Bita Gorjiara 1
Nader Bagherzadeh 1
Dmitri Maslov 1
François Boyer 1
Jeroen Voeten 1
TaiHung Liu 1
João Marques-Silva 1
Chidamber Kulkarni 1
Chauchin Su 1
Abhijit Chatterjee 1
Tim Kong 1
Andy Yan 1
Ra'ed Al-Dujaily 1
Jason Tong 1
Weikai Cheng 1
V Nair 1
Charalambos Ioannides 1
Fang Gong 1
Ashok Sudarsanam 1
Steven Derrien 1
Sehwan Kim 1
Jinjun Xiong 1

Affiliation Paper Counts
Hynix Semiconductor Inc. 1
Lebanese American University 1
P. A. College of Engineering 1
International Medical Equipment Collaborative 1
Indian Institute of Management Calcutta 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
Capital Normal University China 1
University of Twente 1
East China Normal University 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
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Seoul National University 67
National Tsing Hua University 68

ACM Transactions on Design Automation of Electronic Systems (TODAES)

Volume 22 Issue 2, January 2017  Issue-in-Progress

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