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Forthcoming Articles
An approximation algorithm for threshold voltage optimization

We present a primal-dual approximation algorithm for minimizing the leakage power of an integrated circuit by assigning gate threshold voltages. While most existing techniques do not provide a performance guarantee, we prove an upper bound on the power consumption. The algorithm is practical and works with an industrial sign-off timer. It can be used for post-routing power reduction or for optimizing leakage power throughout the design flow. We demonstrate the practical performance on recent microprocessor units. Our implementation obtains significant leakage power reductions of up to 8% on top of one of the most successful algorithms for gate sizing and threshold voltage optimization. After timing-aware global routing we achieve leakage power reductions of up to 34%.

Toward Effective Reliability Requirement Assurance for Automotive Functional Safety

Reliability is an important automotive functional safety property, and the reliability requirement of safety-critical automotive function must be assured. Pre-assigning reliability values to unassigned tasks by transferring the reliability requirement of the function to each task is a useful reliability requirement assurance approach proposed in recent years. However, the pre-assigned reliability values in state-of-the-art studies are pessimistic toward ineffective reliability requirement assurance, thereby resulting in a limited reduction in response time. This study presents the geometric mean-based non-fault-tolerant reliability pre-assignment (GMNRP) and geometric mean-based fault-tolerant reliability pre-assignment (GMFRP) approaches, in which geometric mean-based reliability values are pre-assigned to unassigned tasks. Geometric mean can make the pre-assigned reliability values of unassigned tasks to the central tendency. Experimental results show that GMNRP and GMFRP can effectively reduce the response time compared with their individual state-of-the-art counterparts.

Performance and Thermal Trade-Offs for Energy Efficient Monolithic 3D Network-on-Chip

Three-dimensional (3D) integration enables the design of high-performance and energy efficient network on chip (NoC) architectures as communication backbones for manycore chips. To exploit the benefits of the vertical dimension of 3D integration, through-silicon-via (TSV) has been predominantly used in state-of-the-art manycore chip design. However, for TSV-based systems, high power density and the resultant thermal hotspot remain major concerns from the perspectives of chip functionality and overall reliability. The power consumption and thermal profiles of 3D NoCs can be improved by incorporating a Voltage-Frequency-Island (VFI)-based power management strategy. However, due to inherent thermal constraints of a TSV-based 3D system, we are unable to fully exploit the benefits offered by the power management methodology. In this context, emergence of monolithic 3D (M3D) integration has opened up new possibility of designing ultra-low-power and high-performance circuits and systems. The smaller dimensions of the inter-layer dielectric (ILD) and monolithic inter-tier vias (MIVs) offer high-density integration, flexibility of partitioning logic blocks across multiple tiers, and significant reduction of total wire-length. In this work, we present the first-ever study of the performance-thermal trade-offs for energy efficient monolithic 3D manycore chips. In particular, we present a comparative performance evaluation of M3D NoCs with respect to their conventional TSV-based counterparts. We demonstrate that the proposed M3D-based NoC architecture incorporating VFI-based power management achieves a maximum of 29.4% lower energy-delay-product (EDP) compared to the TSV-based designs for a large set of benchmarks. We also demonstrate that the M3D-based NoC shows up to 29.1% lower maximum temperature than the TSV-based counterpart for these benchmarks.

Dynamically-Determined Preferred Values and a Design-for-Testability Approach for Multiplexer Select Inputs under Functional Test Sequences

Earlier works observed that certain primary inputs have preferred values, which help increase the gate-level fault coverage when they appear in a functional test sequence. This paper observes that multiplexers present additional opportunities for increasing the fault coverage of a functional test sequence, which are not captured by preferred primary input values. Because multiplexers are prevalent, their effect on the fault coverage can be significant. A static analysis, that is independent of any functional test sequence, is performed in this paper to identify preferred values for the outputs of multiplexers. This is followed by a dynamic analysis that adjusts the select inputs of the multiplexers for a given functional test sequence in order to ensure that the preferred values appear on the outputs of the multiplexers more often. The analysis yields design-for-testability logic for the select inputs of the multiplexers that have preferred values. The logic is independent of the functional test sequence, and it allows the fault coverage to be increased when the select inputs are not primary inputs, or when the same select inputs are used for different multiplexers. Experimental results are presented to demonstrate that this approach has a significant effect on the fault coverage of functional test sequences.

Guiding Formal Verification Orchestration Using Machine Learning Methods

Typical modern HW designs include many blocks associated with thousands of design properties. Having todays commercial formal verifiers utilize a complementary set of state-of-art formal algorithms is a key in enabling the formal verification tools to successfully cope with verification problems of different sizes, types and complexities. Formal engines orchestration is the methodology used to pick up the most appropriate formal engine for a specific verification problem. It assures proper scheduling of the formal engines to minimize the time consumed to solve individual design verification problems, hence highly impacts the time required to verify the overall design properties. This work proposes the utilization of supervised machine learning classification techniques to guide the orchestration step by predicting the formal engines that should be assigned to design property. Up to 16,500 formal verification runs on RTL designs and their properties are used to train the classifier to create a prediction model. The classifier assigns any new verification problem to an appropriate list of formal engines associated with a probability distribution over the set of engines classes. Our results indicate how the proposed model is able to improve the formal suite total run time by up to 98% of its maximum allowable time improvement using multi-classification based orchestration and to nominate with 88% accuracy the appropriate formal engines for new-to-verify HW designs.

GPlace3.0: Routability-Driven Analytic Placer for UltraScale FPGA Architectures

Optimizing for routability during FPGA placement is becoming increasingly important, as failure to spread congestion throughout the chip, especially in the case of large designs, may result in placements that either cannot be routed, or that require the router to work excessively hard to obtain success. In this paper, we introduce a new, analytic routability-aware placement algorithm for Xilinx UltraScale FPGA architectures. The proposed algorithm, called GPlace3.0, seeks to optimize both wirelength and routability. Our work contains several unique features including a novel window-based procedure for satisfying legality constraints in lieu of packing, an accurate congestion estimation method based on modifications to the pathfinder global router, and a novel detailed placement algorithm that optimizes both wirelength and external pin count. Experimental results show that compared to the top three winners at the recent ISPD'16 FPGA placement contest, GPlace3.0 is able to achieve (on average) a 7.53%, 15.15%, and 33.50% reduction in routed wirelength, respectively, while requiring less overall runtime. As well, an additional 360 benchmarks were provided directly from Xilinx Inc. These benchmarks were used to compare GPlace3.0 to the most recently improved versions of the first and second place contest winners. Subsequent experimental results show that GPlace3.0 is able to outperform the improved placers in a variety of areas including number of best solutions found, fewest number of benchmarks that cannot be routed, runtime required to perform placement, and runtime required to perform routing.

Trading-Off Power Consumption and Prediction Performance in Wearable Motion Sensors: An Optimal and Real-Time Approach

Power consumption is identified as one of the main complications in designing practical wearable systems, mainly due to their stringent resource limitations. When designing wearable technologies, several system-level design choices, which directly contribute to the energy consumption of these systems, must be considered. In this paper, we propose a lightweight system optimization framework that trades-off power consumption and performance in connected wearable motion sensors. While existing approaches, exclusively focus on one or few specific design variables, our framework holistically finds the optimal power-performance solution with respect to the specified application need. This is formulated as a multi-variant non-convex optimization problem and therefore is hard to solve. To decrease the complexity, we propose a smoothing function to reduce this optimization to a convex problem. The reduced optimization is then solved in linear time using a devised derivative-free optimization approach, namely cyclic coordinate search. We evaluate our framework against several holistic optimization baselines using a real-world wearable activity recognition dataset. We minimize the energy consumption for various activity recognition performance thresholds ranging from 40% to 80% and demonstrate up to 64% energy saving.

Non-Intrusive In-Situ Requirements Monitoring of Embedded System

Accounting for all operating conditions of a system at the design stage is typically infeasible for complex systems. Monitoring and verifying system requirements at runtime enables a system to continuously and introspectively ensure the system is operating correctly in the presence of dynamic execution scenarios. In this paper, we present a requirements-driven methodology enabling efficient runtime monitoring of embedded systems. The proposed approach extracts a runtime monitoring graph from system requirements specified using UML sequence diagrams. Non-intrusive, on-chip hardware dynamically monitors the system execution, verifies the execution adheres to the requirements model, and in the event of a failure provides detailed information that can be analyzed to determine the root cause. Using case studies of an autonomous vehicle and pacemaker prototypes, we analyze the relationship between event coverage, detection rate, and hardware requirements.

Distributed Machine Learning on Smart-gateway Network towards Real-time Smart-grid Energy Management with Behavior Cognition

Real-time data analytics for smart-grid energy management is challenging with consideration of both occupant behavior profiles and energy profiles. This paper proposes a distributed and networked machine learning platform on smart-gateway based smart-grid. It can analyze occupant behaviors, provide short-term load forecasting and allocate renewable energy resources. Firstly, occupant behavior profile is captured by real-time indoor positioning system with WiFi data analytics; and the energy profile is extracted by real-time meter system with electricity load data analytics. Then, the 24-hour occupant behavior profile and energy profile are fused with prediction using an online distributed machine learning algorithm with real-time data update. Based on the forecasted occupant behavior profile and energy profile, solar energy source is allocated to reduce peak demand on the main electricity power-grid. The whole management flow can be operated on the distributed smart-gateway network with limited computational resources but with a supported general machine-learning engine. Experimental results on occupant behavior extraction show that the proposed algorithm can achieve 50 times and 38 times speed-up during data testing and training respectively with comparable indoor positioning accuracy, when compared to traditional support vector machine (SVM) method. Furthermore, for short-term load forecasting, it is 14.83% more accurate when compared to SVM based data analytics. Based on the predicted occupant behavior profile and energy profile, our proposed energy management system (EMS) can achieve 19.66% more peak load reduction and 26.41% more cost saving as compared to the SVM based method.

Instinctive Assistive Indoor Navigation using Distributed Intelligence

The development of cyber-physical systems and the Internet of Things (IoT) have a signifcant potential to improve the eectiveness of assistive technologies for those with physical disabilities. To be practical, assistive systems should minimize the number of inputs from users, reducing cognitive and physical eort required. This paper presents a versatile, energy-efcient framework and algorithm for assistive indoor navigation using an electric wheelchair and user inputs from multiple modalities. The proposed algorithm automates indoor navigation using only a few user commands captured through a wearable device, with the goal of simplifying navigation tasks and making them more instinctive for the user. We evaluated the proposed methodology using both a virtual smart building and a prototype built with o-the-shelf IoT development boards. Our evaluations for three dierent oorplans show one order of magnitude reduction in user eort and communication energy required for navigation when compared with conventional navigation methodologies that require continuous user inputs.

Thermal-Sensor-Based Occupancy Detection For Smart Buildings Using Machine Learning Methods

In this article, we propose a novel approach to detect the occupancy behavior of a building through the temperature and/or possible heat source information, which can be used for energy reduction and security monitoring for emerging smart buildings. Our work is based on a realistic building simulation program, EnergyPlus, which can model the various time-series inputs to a building such as ambient temperature, heating, ventilation, and air-conditioning (HVAC) inputs. Two machine learning based approaches for detecting human occupancy of a smart building are applied herein, namely: support vector regression (SVR) method and recurrent neural network (RNN) method. Experimental results with SVR method show that 4-feature model provides accurate detection rate giving a 0.638 average error and 0.0532 error ratio, and 5-feature model gives a 0.317 average error and 0.0264 error ratio. This indicates that SVR is a viable option for occupancy detection. In RNN method, Elman's RNN (ELNN) can estimate occupancy information of each room of a building with high accuracy. The error level, in terms of number of people can be as low as 0.0056 on average and 0.288 at maximum considering ambient, room temperatures and HVAC powers as detectable information. Our study further shows both methods can deliver similar accuracy in the occupancy detection. But that SVR model is more stable for changing features of the system, while the RNN method can deliver more accuracy when the features used in the model do not change a lot.

Enhancing Flash Memory Reliability by Jointly Considering Write-back Pattern and Block Endurance

Owing to high cell density caused by the advanced manufacturing process, the reliability of flash drives turns out to be rather challenging in flash system designs. In order to enhance the reliability of flash drives, error-correcting code (ECC) has been widely utilized in flash drives to correct error bits during programming/reading data to/from flash drives. Although ECC can effectively enhance the reliability of flash drives by correcting error bits, the capability of ECC would degrade while the program/erase (P/E) cycles of flash blocks is increased. Finally, ECC could not correct a flash page because a flash page contains too many error bits. As a result, reducing error bits is an effective solution to further improve the reliability of flash drives when a specific ECC is adopted in the flash drive. This work focuses on how to reduce the probability of producing error bits in a flash page. Thus, we propose a pattern-aware write strategy for flash reliability enhancement. The proposed write strategy considers both the P/E cycle of blocks and the pattern of written data while a flash block is allocated to store the written data. Since the proposed write strategy allocates young blocks (resp. old blocks) for hot data (resp. cold data) and flips the bit pattern of the written data to the appropriate bit pattern, the proposed strategy can effectively improve the reliability of flash drives. The experimental results show that the proposed strategy can reduce the number of error pages by up to 50\%, compared with the well-known DFTL solution. Moreover, the proposed strategy is orthogonal with all ECC mechanisms so that the reliability of the flash drives with ECC mechanisms can be further improved by the proposed strategy.

Demand-Driven Single- and Multi-Target Mixture Preparation using Digital Microfluidic Biochips

Recent studies in algorithmic microfluidics have led to the development of several techniques for automated solution preparation using droplet-based digital microfluidic (DMF) biochips. A major challenge in this direction is to produce a mixture of several reactants with a desired ratio while optimizing reactant-cost and preparation-time. The sequence of mix-split operations that are to be performed on the droplets is usually represented as a mixing-tree (or graph). In this paper, we present an efficient mixing algorithm namely Mixing Tree with Common Subtrees (MTCS) for preparing single-target mixtures. MTCS attempts to best-utilize intermediate droplets, which were otherwise wasted, and uses morphing based on permutation of leaf nodes to further reduce the graph-size. The technique can be generalized to produce multi-target ratios and we present another algorithm namely Multiple Target Ratios (MTR). Additionally, in order to enhance the output-load, we also propose an algorithm for droplet-streaming called Multi-Target Multi-Demand (MTMD). Simulation results on a large set of target-ratios show that MTCS can reduce the mean values of the total number of mix-split steps (Tms) and waste droplets (W) by 16% and 29% over Min-Mix (Thies et al. Natural Computing 2008), and by 22% and 34% over RMA (Roy et al. ACM TODAES 2015), respectively. Experimental results also suggest that MTR can reduce the average values of Tms and W by 23% and 44% over the repeated-version of Min-Mix, by 30% and 49% over the repeated-version of RMA, and by 9% and 22% over the repeated-version of MTCS, respectively. It is observed that MTMD can reduce the mean values of Tms and W by 64% and 85%, respectively, over MTR. Thus the proposed multi-target techniques MTR and MTMD provide efficient solutions to multiple-demand, multi-target mixture preparation on a DMF-platform.

Folded Circuit Synthesis: Min-Area Logic Synthesis Using Dual-Edge-Triggered Flip-Flops

The area required by combinational logic of a sequential circuit based on standard flip-flops can be reduced by identifying subcircuits that are identical. Pairs of matching subcircuits can then be replaced by circuits in which dual-edge-triggered flip-flops operate on multiplexed data at the rising and falling edges of the clock signal. We show how to modify the Boolean network describing a combinational logic to increase the opportunities for folding, without affecting its function. Experiments with benchmark circuits achieved an average reduction in circuit area of 18%.

A Comprehensive Side Channel Information Leakage Analysis of an In-order RISC CPU Microarchitecture

Side channel attacks are a prominent threat to the security of embedded systems. To lead one, an adversary evaluates the goodness of fit of a key dependent model to the side channel measurements taken from an actual device, identifying the secret key value as the one yielding the best fitting model. We investigate the mapping between the models and the sources of information leakage in the CPU microarchitecture in a post map simulation environment and classify the leakage sources affecting different parts of the microarchitecture, Finally, we provide are able to provide hints to the software architect on potential vulnerabilities.

An Algorithmic Approach to Formally Verify an ECC Library

The weakest link in Cryptosystems is quite often due to the implementation rather than the mathematical underpinnings. A vast majority of attacks in the recent past have targeted programming flaws and bugs to break security systems. Due to the complexity, empirically verifying such systems is practically impossible, while manual verification as well as testing do not provide adequate guarantees. In this paper, we leverage model checking techniques to prove the functional correctness of an Elliptic curve cryptography (ECC) library with respect to its formal specification. We demonstrate how the huge state space of the C library can be aptly verified using a hierarchical assume-guarantee verification strategy. To test the scalability of this approach, we verify the correctness of four NIST-specified elliptic curve implementations. The smallest curve with a 192 bit prime field took 1 day to verify, while the largest curve with a 384 bit prime field took 8 days to verify.

Routable and Matched Layout-styles for Analog Module Generation

Two novel layout generation methods of analog modules, a symmetrical twin-row-style for MOS transistors and a twisted common-centriod style for unit capacitors array, are introduced. Based on these limited layout styles and the reasonable algorithms, the symmetry and common-centriod placement patterns for analog devices are realized to guarantee the matching property. On this basis, as the most prominent contribution of this paper, the sensible channel routing based algorithms for two proposed layout styles could achieve the 100% routability due to the limited device placement and the corresponding lower routing complexity. The improved algorithms also bring benefits such as smaller layout area by maximizing the diffusion-sharing of MOS transistors, less routing layer usage for common-centroid devices array. Moreover, we apply our algorithms to layout designs with typical analog modules such as 2-stage operating amplifier and SAR-ADCs, generation results with the circuit simulations demonstrate the effectiveness of our algorithms in terms of the routability and matching property. These feasible and efficient algorithms can be also extended to apply varieties of essential MOS analog circuits simply.

Introduction to the Special Section on Advances in Physical Design Automation

Reverse Engineering Digital ICs Through Geometric Embedding of Circuit Graphs

Outsourcing of design and manufacturing processes makes integrated circuits (ICs) vulnerable to adversarial changes and raises concerns about their integrity. Reverse engineering the manufactured netlist helps identify malicious insertions. In this paper, we present an automated approach that, given a reference design description, infers high-level blocks in an untrusted gate-level (test) implementation. Using the structural connectivity of the netlists, we compute a geometric embedding for each wire in the circuits, which, then, is used to compute a bipartite matching between the nodes of the two designs and identify functional units in the test circuit. Experiments to evaluate the efficacy of the proposed technique on various-sized designs, including the multi-core processor OpenSparc T1, show that it can correctly match over 90% of gates in the test circuit to their corresponding block in the reference model.

Bibliometrics

Publication Years 1996-2018
Publication Count 986
Citation Count 4620
Available for Download 986
Downloads (6 weeks) 2552
Downloads (12 Months) 22880
Downloads (cumulative) 671746
Average downloads per article 681
Average citations per article 5
First Name Last Name Award
Mohammad Abdullah Al Faruque ACM Senior Member (2017)
Iris Bahar ACM Distinguished Member (2012)
Luca Benini ACM Fellows (2016)
Robert Brayton ACM Paris Kanellakis Theory and Practice Award (2006)
Krishnendu Chakrabarty ACM Fellows (2013)
ACM Distinguished Member (2008)
ACM Senior Member (2006)
Naehyuck Chang ACM Fellows (2015)
ACM Distinguished Member (2012)
ACM Senior Member (2007)
Danny Z Chen ACM Distinguished Member (2014)
ACM Senior Member (2011)
Jason Cong ACM Fellows (2008)
Giovanni DeMicheli ACM Fellows (2001)
Srinivas Devadas ACM Fellows (2014)
Nikil D. Dutt ACM Fellows (2014)
ACM Distinguished Member (2007)
Lieven Eeckhout ACM Senior Member (2016)
Suhaib A Fahmy ACM Senior Member (2013)
Franz Franchetti ACM Senior Member (2015)
ACM Gordon Bell Prize (2006)
W. Kent Fuchs ACM Fellows (2000)
Soheil Ghiasi ACM Senior Member (2015)
Ronald L. Graham ACM Fellows (1999)
Aarti Gupta ACM Fellows (2017)
Prosenjit Gupta ACM Senior Member (2008)
Rajesh Gupta ACM Fellows (2016)
Rajiv Gupta ACM Fellows (2009)
Matthew Guthaus ACM Senior Member (2013)
John P Hayes ACM Fellows (2001)
Pao-Ann Hsiung ACM Senior Member (2006)
Mary Jane Irwin ACM Athena Lecturer Award (2010)
ACM Distinguished Service Award (2005)
ACM Fellows (1996)
Andrew Kahng ACM Fellows (2012)
Sung Mo Kang ACM Fellows (2001)
Kenneth W Kennedy ACM Fellows (1995)
Tei-Wei Kuo ACM Fellows (2015)
John Lee ACM Senior Member (2014)
Roman Lysecky ACM Senior Member (2014)
Sharad Malik ACM Fellows (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 Fellows (2016)
ACM-IEEE CS Eckert-Mauchly Award (2014)
Walid Najjar ACM Distinguished Member (2015)
ACM Senior Member (2014)
Steven M Nowick ACM Senior Member (2009)
Krishna Palem ACM Fellows (2005)
Ian Parberry ACM Distinguished Member (2015)
Janak H Patel ACM Fellows (2001)
Massoud Pedram ACM Distinguished Member (2008)
Ali Pinar ACM Distinguished Member (2015)
ACM Senior Member (2011)
Martha Pollack ACM Fellows (2011)
Dhiraj Pradhan ACM Fellows (1999)
Viktor Prasanna ACM Fellows (2007)
Sreeranga P Rajan ACM Distinguished Member (2014)
Bantwal R Rau ACM Fellows (2002)
ACM-IEEE CS Eckert-Mauchly Award (2002)
Sartaj K Sahni ACM Karl V. Karlstrom Outstanding Educator Award (2003)
ACM Fellows (1996)
Karem Sakallah ACM Fellows (2012)
Alberto Luigi Sangiovanni Vincentelli ACM Fellows (2014)
Sachin S. Sapatnekar ACM Fellows (2016)
Robert Schreiber ACM Fellows (2012)
ACM Distinguished Member (2006)
Sandeep K Shukla ACM Distinguished Member (2012)
ACM Senior Member (2007)
Anand Sivasubramaniam ACM Fellows (2017)
ACM Distinguished Member (2010)
ACM Senior Member (2009)
Peter James Stuckey ACM Distinguished Member (2009)
Donald E Thomas ACM Fellows (2007)
Mateo Valero ACM Distinguished Service Award (2012)
ACM-IEEE CS Eckert-Mauchly Award (2007)
ACM Fellows (2002)
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)
Marilyn Claire Wolf ACM Fellows (2001)
Martin Wong ACM Fellows (2017)
Zeljko Zilic ACM Senior Member (2009)

First Name Last Name Paper Counts
Francky Catthoor 19
Irith Pomeranz 18
Krishnendu Chakrabarty 15
Nikil Dutt 15
Jason Cong 12
Partha Chakrabarti 10
Sheldon Tan 10
TingTing Hwang 9
Yunheung Paek 9
Sachin Sapatnekar 9
David Pan 8
Lei He 8
Yaowen Chang 8
Spyros Tragoudas 7
Sule Ozev 7
Evangeline Young 7
Domenic Forte 7
Frank Vahid 7
Bhargab Bhattacharya 7
Danny Wong 7
Luca Benini 7
Pallab Dasgupta 7
Massoud Pedram 7
Igor Markov 6
Jintai Yan 6
Andrew Kahng 6
Chengkok Koh 6
Sudhakar Reddy 6
Radu Marculescu 6
Jenqkuen Lee 6
Mark Tehranipoor 6
Alexandru Nicolau 6
Martin Wong 6
Taewhan Kim 6
John Hayes 6
Ryan Kastner 6
Ali Dasdan 5
Sharad Malik 5
Xiaobosharon Hu 5
Soonhoi Ha 5
Ramesh Karri 5
Kiyoung Choi 5
Umit Ogras 5
Mahmut Kandemir 5
Hungming Chen 5
Kaushik Roy 5
Preeti Panda 5
Rajeev Kumar 5
Giovanni De Micheli 5
Aviral Shrivastava 5
Roman Lysecky 5
Nagarajan Ranganathan 5
Tony Givargis 5
Chungkuan Cheng 5
Zijiang Yang 4
Sunil Khatri 4
Kwangting Cheng 4
Rajesh Gupta 4
Chialin Yang 4
El Aboulhamid 4
Jingyang Jou 4
Aarti Gupta 4
Chiuwing Sham 4
Pinghung Yuh 4
Enrico Macii 4
Ankur Srivastava 4
Peter Petrov 4
Iris Jiang 4
Peng Li 4
Twan Basten 4
Shihhsu Huang 4
Hans Wunderlich 4
Alex Jones 4
Yuanhao Chang 4
Sunyuan Hsieh 4
Martin Lukasiewycz 4
Naehyuck Chang 4
Allen Wu 4
Chang Liu 4
Jürgen Teich 4
Zili Shao 4
Sebastian Steinhorst 4
Miodrag Potkonjak 4
Wen Jone 4
Zoran Salcic 4
Paul Gratz 4
Dinesh Mehta 4
Jongeun Lee 4
Franco Fummi 4
Paulo Flores 4
Hai Zhou 4
Mehdi Tahoori 4
Tsungyi Ho 4
Zonghua Gu 4
Dirk Stroobandt 4
Azadeh Davoodi 4
Massimo Poncino 4
Youngsoo Shin 3
Fadi Kurdahi 3
Soheil Ghiasi 3
Juan Maestro 3
Seongnam Kwon 3
Gianpiero Cabodi 3
Kurt Keutzer 3
Sarma Vrudhula 3
Chunjason Xue 3
Jaume Abella 3
Pai Chou 3
Paul Bogdan 3
Alberto Sangiovanni-Vincentelli 3
Partha Roop 3
Thambipillai Srikanthan 3
Ozgur Sinanoglu 3
Yi Wang 3
Madhu Mutyam 3
Pedro Reviriego 3
Xiangrong Zhou 3
Daniel Gajski 3
Per Kjeldsberg 3
José Monteiro 3
Martin Palkovič 3
Yowtyng Nieh 3
Janak Patel 3
Mohammad Arjomand 3
David Atienza 3
Majid Sarrafzadeh 3
Saojie Chen 3
Shuvra Bhattacharyya 3
Hai Wang 3
Edwin Sha 3
Yinhe Han 3
Nicholas Zamora 3
Priyank Kalla 3
Elizabeth Rudnick 3
Dong Xiang 3
Dimitrios Soudris 3
Jun Yang 3
Yiping You 3
Baris Taskin 3
Sanghamitra Roy 3
Krishnendu Chakrabarty 3
Li Wang 3
Waikei Mak 3
Xianlong Hong 3
Hao Yu 3
Shihchieh Chang 3
Teiwei Kuo 3
Luigi Carro 3
Angeliki Kritikakou 3
Seda Memik 3
Chakkuen Wong 3
George Constantinides 3
Akash Kumar 3
Koushik Chakraborty 3
Greg Stitt 3
Avinash Malik 3
Praveen Raghavan 3
Swarup Bhunia 3
Dimitrios Kagaris 3
Dian Zhou 3
Henk Corporaal 3
Diana Marculescu 3
Yuan Xie 3
Viktor Prasanna 3
Karel Bruneel 3
Bijan Alizadeh 3
Valeria Bertacco 3
Axel Jantsch 3
PAOLO Prinetto 3
Guangming Wu 3
Ronald Blanton 3
Xuan Zeng 3
Jinyong Lee 3
Paoann Hsiung 3
Andrew Kennings 3
Yongje Lee 3
Kun Yang 3
Sreejit Chakravarty 3
Francisco Cazorla 3
Hamid Sarbazi-Azad 3
Alain Girault 3
Guy Gogniat 3
Prabhat Mishra 3
Masanori Kurimoto 3
Dipankar Das 3
Anna Bernasconi 3
Samarjit Chakraborty 3
Sisira Panda 3
Ali Afzali-Kusha 3
Xiaoyu Song 3
Ingoo Heo 3
Yuchin Hsu 3
Ozcan Ozturk 3
Bei Yu 3
Yunsi Fei 3
Janet Roveda 3
Peng Li 3
Peter Cheung 3
Valentina Ciriani 3
Arnout Vandecappelle 3
Shiyu Huang 3
Chenjie Yu 3
Chungwen Huang 3
Costas Goutis 3
Karem Sakallah 3
Jochen Jess 2
Aiqun Cao 2
Sarmishtha Ghoshal 2
Arnab Sarkar 2
Haibo Zeng 2
Roberto Passerone 2
Ulf Schlichtmann 2
Mehdi Kamal 2
Jin Sun 2
Timothy Sherwood 2
Chiajui Hsu 2
José Pino 2
Meikang Qiu 2
Masato Edahiro 2
Adnan Bouakaz 2
Gregory Dimitroulakos 2
Jun Yang 2
Nicola Bombieri 2
Siddharth Garg 2
Jörg Henkel 2
Susmita Sur-Kolay 2
Wayne Wolf 2
M Balakrishnan 2
Ansuman Banerjee 2
Avinoam Kolodny 2
Mary Irwin 2
Hsiangpang Li 2
Jhihrong Gao 2
Seokhyeong Kang 2
Masahiro Fujita 2
Shahin Nazarian 2
Lihong Zhang 2
Jagannathan Ramanujam 2
Yongjoo Kim 2
Leyla Nazhandali 2
Michel Auguin 2
Min Xu 2
Freek Verbeek 2
Vijaykrishnan Narayanan 2
Luciano Lavagno 2
Dongsheng Ma 2
Swapna Dontharaju 2
Xuexin Liu 2
Yihlang Li 2
Chingren Lee 2
Swaminathan Narayanaswamy 2
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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
Roopak Sinha 1
Mohamed Basiri M 1
Shobha Vasudevan 1
Hsienkai Kuo 1
Debapriya Chatterjee 1
Yiding Han 1
Antonio Pérez 1
Ted Szymanski 1
Zimu Guo 1
Ji Li 1
Chidhambaranathan Rajamanikkam 1
Aatreyi Bal 1
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Shihchieh Chang 1
Kyuseung Han 1
Daler Rakhmatov 1
Mirko Loghi 1
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Younghwan Park 1
Kazuhisa Ishizaka 1
Xrysovalantis Kavousianos 1
Hanwoong Jung 1
Hang Su 1
Konstantinos Masselos 1
Phuong Nguyen 1
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Can Hankendi 1
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Ruibing Lu 1
Feipei Lai 1
Doris Ching 1
Hongyu Chen 1
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Narender Hanchate 1
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Xi Chen 1
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Youngjin Cho 1
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Jean Berge 1
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Gwan Choi 1
Haotse Chen 1
Dacheng Juan 1
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Sally McKee 1
Yan Lin 1
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HsuanMing Huang 1
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Charalambos Ioannides 1
Les Walczowski 1
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Alex Doboli 1
Steven Derrien 1
Fang Gong 1
Bo Wang 1
Wonyong Sung 1
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Steffen Schlueter 1
Chinghsuan Ho 1
Chunyao Wang 1
Rickard Ewetz 1
Yue Zhao 1
Kenneth Stevens 1
Vishwanath Natarajan 1
Dongjin Lee 1
Partha Pande 1
Seonhwa Jung 1
Koen De Bosschere 1
Zhongyi Jin 1
Curt Schurgers 1
Liling Hung 1
Qiang Xu 1
Joachim Keinert 1
Christian Haubelt 1
Gayatri Mehta 1
Mustafa Baz 1
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N Beohar 1
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Andreas Emeretlis 1
Kyuhyun Choi 1
Leonardo Pereira-Santos 1
Hongxia Zhou 1
Johann Knechtel 1
Hakan Yalcin 1
Kumar Parthasarathy 1
Song Liu 1
Ge Yu 1
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P Bakliwal 1
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Le Jin 1
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W Fuchs 1
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Hyojung Lee 1
Yan Jia 1
Chungwei Lin 1
Ankit More 1
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Si Li 1
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Chauchin Su 1
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P Chithira 1
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V Nair 1
Hai Lin 1
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Daniel Kroening 1
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Haibo Wang 1
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Jeffrey Draper 1
Karin Avnit 1
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Hazem Ali 1
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Kunhyuk Kang 1
Jun Chen 1
Saurabh Adya 1
Chichou Kao 1
Yehia Massoud 1
Qingfeng Zhuge 1
Sunil Chappidi 1
Guoqing Chen 1
Liang Chen 1
Song Jin 1
Huawei Li 1
Mukund Narasimhan 1
Nitin Chandrachoodan 1
Qingbo Wu 1
Dongha Jung 1
Eddie Hung 1
Paul Pop 1
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Petru Eles 1
Jinnshyan Wang 1
Sanghyeon Baeg 1
Weitsun Sun 1
Sungkyu Lim 1
Fabrizio Lombardi 1
Luiz Dos Santos 1
Marc Heijligers 1
Weitong Chuang 1
Prabhav Agrawal 1
Andrea Bonetti 1
Woocheol Cho 1
Muhammad Nadeem 1
Mahir Turkcan 1
Deming Chen 1
Jaekyu Lee 1
Lingling Jin 1
Shanqjang Ruan 1
Bipul Paul 1
Juan De Vicente 1
KunLin Tsai 1
Péter Arató 1
Patrick Schaumont 1
Ashok Halambi 1
Xing Hu 1
Shuangchen Li 1
Yining Zhang 1
Pranav Ashar 1
Hokyoon Lee 1
Florent De Lamotte 1
Brett Meyer 1
Chunhan Chen 1
Yaoguang Wei 1
Cliff Sze 1
Seokhyun Lee 1
Alessandro Pinto 1
Alvise Bonivento 1
Tanja Van Achteren 1
I Hsu 1
Fulvio Corno 1
Xiaotao Chen 1
Cornelis Van Eijk 1
Biswadeep Chatterjee 1
Marco Platzner 1
Maria Padilla 1
Salim Chowdhury 1
Kaige Yan 1
Bruno Rouzeyre 1
Jongeun Lee 1
Rami Melhem 1
Chita Das 1
Giovanni De Micheli 1
Choonseung Lee 1
Ronny Krashinsky 1
Antonis Papanikolaou 1
Tomas Pecenka 1
Lukáš Sekanina 1
Zdeněk Kotásek 1
Qing Su 1
Qiuping Yi 1
Zili Shao 1
Laurent Freund 1
Michael Münch 1
Jay Brockman 1
Luiz Santos 1
Rafael Moreno 1
Eduardo Pacheco 1
Praveen Murthy 1
Mario Leung 1
Ryan Rakib 1
YuHsin Kuo 1
Muhammad Pasha 1
Michael Glaß 1
Zhiying Wang 1
Jieun Lim 1
Nagesh Lakshminarayana 1
Bernd Becker 1
Kamyiu Lam 1
Chiawei Lee 1
Yi Zou 1
Kaijie Wu 1
Wennai Cheng 1
Yunchih Chang 1
Arne Meeuw 1
Taeyoung Kim 1
Vikas Vij 1
Jiang Hu 1
Giovanni Beltrame 1
Xingquan Li 1
Wenxing Zhu 1
Yupeng Li 1
Sourav Das 1
Wonje Choi 1
Robert Johnson 1
Stefan Gheorghita 1
Andreas Hansson 1
Prasenjit Basu 1
Chengan Chien 1
Joachim Falk 1
Chunghsiang Lin 1
Miad Faezipour 1
Byunghyun Lee 1
Ilia Polian 1
Ingjer Huang 1
Abusaleh Jabir 1
Andreas Raabe 1
Philipp Hartmann 1
George Viamontes 1
Vincenza Carchiolo 1
Niall O'Neill 1
Alessandro Bogliolo 1
Joonho Kong 1
Jens Vygen 1
Qing Wu 1
Chen Huang 1
Jiliang Zhang 1
Eddie Cheng 1
Christian Buckl 1
Kamel Beznia 1
Ahcéne Bounceur 1
Franz Franchetti 1
Jun Matsushima 1
Shigeki Ohbayashi 1
Pengchih Wang 1
Yumin Kuo 1
Érika Cota 1
Marcelo Lubaszewski 1
Daniel Blakely 1
Reiner Hartenstein 1
Yuke Wang 1
Fei Xia 1
Rajib Nath 1
Yenjen Chang 1
Wei Wang 1
Ilya Issenin 1
Arun Kejariwal 1
Mineo Kaneko 1
Haralampos Pozidis 1
Andrew Walls 1
Siva Boga 1
Vassos Soteriou 1
Ngai Wong 1
Minsu Kim 1
Wuxi Li 1
Shounak Dhar 1
Ismail Bustany 1
Philipp Ittershagen 1
Thanos Stouraitis 1
MingChing Lu 1
M Shafiee 1
Jalil Boukhobza 1
Nikolaos Zompakis 1
Ingo Sander 1
Kohei Miyase 1
Seiji Kajihara 1
Michael Gössel 1
Weiping Shi 1
Michael Moffitt 1
Gerda Janssens 1
Yunghsiang Lu 1
N Harsha 1
Sujoy Ghose 1
Wenrui Gong 1
Brian DeRenzi 1
Wei Zhong 1
Chuangwen Liu 1
Margarida Jacome 1
Claudio Sansoé 1
Yong Hu 1
Mimi Xie 1
Thorlindur Thorolfsson 1
Wanting Lo 1
Chiehjui Lee 1
Chandu Visweswariah 1
Raj Nadakuditi 1
Tan Yan 1
Xufa Wang 1
Jun Seomun 1
Takayasu Sakurai 1
Kuenjong Lee 1
Tsungchu Huang 1
Michael Hsiao 1
James Li 1
Matthew Gately 1
Scott Little 1
David Bild 1
Gregory Bok 1
Yufu Zhang 1
Kundan Nepal 1
Jiajia Li 1
Andrea Calimera 1
Francesco Zanini 1
Colin Jones 1
Naifeng Jing 1
Santiago Mok 1
Yehchi Chang 1
Gregor Goessler 1
Wei Hu 1
Chia Yen 1
Adrian Ludwin 1
Tiempo Sas 1
Yuhao Zhu 1
Joan Lopez 1
Jeanine Cook 1
Mohammad Torabi 1
Weifeng He 1
Ryan Cochran 1
Atsuto Hanami 1
Juyueh Lee 1
Chunkai Wang 1
Chingyu Chin 1
Dejun Mu 1
Mohit Tiwari 1
Xueliang Li 1
Andrew DeOrio 1
Antara Ain 1
Shangping Ren 1
Hanbin Hu 1
Shuwen Deng 1
Shamik Saha 1
Yang Song 1
Chienchih Chen 1
Hokyoon Lee 1
Il Park 1
Ji Li 1
Kuanhsien Ho 1
Katrina Lu 1
Dimitris Nikolos 1
Weikai Cheng 1
Hyunok Oh 1
Suhaib Fahmy 1
Chuanjun Zhang 1
Hui Huang 1

Affiliation Paper Counts
Taiwan Semiconductor Manufacturing Company 1
Federal University of Santa Maria 1
Silicon Graphics, Inc. 1
National Chi Nan University 1
University of Manchester 1
Chengdu University of Information Technology 1
Oak Ridge National Laboratory 1
Yahoo Inc. 1
University of Nebraska - Lincoln 1
Kettering University 1
Iranian Research Institute for Fundamental Sciences 1
Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas 1
Zenasis Technologies, Inc. 1
Institute of Computing Technology Chinese Academy of Sciences 1
University of Texas System 1
Valparaiso University 1
Gonzaga University 1
North Carolina Agricultural and Technical State University 1
Royal Military College of Canada 1
DoCoMo Communications Laboratories Europe GmbH 1
Miami University Oxford 1
King Abdullah University of Science and Technology 1
Lawrence Berkeley National Laboratory 1
Universite de Toulouse 1
University of Virginia 1
University of Kaiserslautern 1
International Institute of Information Technology, Kolkata 1
Wilfrid Laurier University 1
Facebook, Inc. 1
Ecole Centrale Marseille 1
Synopsys (India) Pvt. Ltd. 1
Catholic University of Pelotas 1
Myongji University 1
Spanish National Research Council 1
University of New Orleans 1
Universite de Lyon 1
University of Trento 1
Faraday Technology Corporation 1
Curtin University of Technology, Perth 1
MediaTek Inc 1
Fu Jen Catholic University 1
Robert Bosch GmbH 1
School of Higher Technology - University of Quebec 1
Oxford Brookes University 1
Asyst Technologies, Inc. 1
Universite de Bretagne-Sud 1
University of Maryland, Baltimore County 1
North China Electric Power University 1
Intel Technology India Pvt Ltd. 1
Vienna University of Technology 1
INRIA Rhone-Alpes 1
France Telecom 1
Texas State University-San Marcos 1
McMaster University 1
Clarkson University 1
Saint Francis Xavier University 1
Northrop Grumman corporation 1
Providence University Taiwan 1
The University of Warwick 1
Mindspeed Technologies 1
Cornell University 1
Yonsei University 1
Indian Institute of Technology, Kanpur 1
Auburn University 1
State University of Rio Grande do Sul 1
National Taipei University 1
Universite de Strasbourg 1
Advanced Micro Devices, Inc. 1
University of Kansas 1
Indian Institute of Technology, Bombay 1
Samsung Group 1
Siemens AG 1
Thomson, SA 1
University of New Brunswick 1
Mississippi State University 1
Global Unichip 1
Washington State University Tri-Cities 1
Tianjin University 1
Griffith University 1
Czech Technical University in Prague 1
Aalto University 1
The University of North Carolina System 1
Concordia University, Montreal 1
Jundi Shapur University of Dezful 1
Rensselaer Polytechnic Institute 1
Russian Academy of Sciences 1
North Dakota State University 1
Oracle Corporation 1
Kung Shan Institute of Technology 1
Commissariat a L'Energie Atomique CEA 1
Texas Instruments (India) Ltd 1
Ecole Normale Superieure de Lyon 1
Huawei Technologies Co., Ltd. 1
University of Akron 1
National Institute of Technology, Durgapur 1
University of Oldenburg 1
Capital Normal University China 1
STMicroelectronics Ltd - Bristol 1
San Francisco State University 1
University of Bridgeport 1
Nortel Networks 1
Oregon State University 1
Microsoft Research 1
University of Potsdam 1
Google Inc. 1
The University of North Carolina at Chapel Hill 1
Juniper Networks, Inc. 1
National Taiwan Ocean University 1
National Pingtung University 1
Rutgers, The State University of New Jersey 1
University of Idaho 1
Macau University of Science and Technology 1
LSI Corporation 1
Missouri University of Science and Technology 1
University of Kent 1
SUNY Brockport 1
Institute for Information Industry Taiwan 1
Colorado State University 1
National Ilan University Taiwan 1
P. A. College of Engineering 1
Bowling Green State University 1
Florida State University 1
Hitachi America, Ltd. 1
United States Air Force Institute of Technology 1
Kent State University 1
China National Petroleum Corporation 1
Beijing University of Chemical Technology 1
University of Colorado at Boulder 1
Nanjing University of Science and Technology 1
University of Udine 1
Lahore University of Management Sciences 1
Air Force Research Laboratory 1
University of Central Florida 1
University of Ioannina 1
International Medical Equipment Collaborative 1
Tampere University of Technology 1
Karlsruhe Institute of Technology, Campus South 1
Winbond Electronics Corporation 1
Nan-Tai Institute of Technology 1
INRIA Institut National de Rechereche en Informatique et en Automatique 1
Oakland University 1
City University of New York 1
Lancaster University 1
Kwangwoon University 1
Indian Institute of Management Calcutta 1
Bahcesehir University 1
Toshiba America Research, Inc 1
FZI Research Computer Science Research Center Karlsruhe 1
Wuhan University 1
Intel Development Center, Israel 1
Shandong University 1
University at Buffalo, State University of New York 1
Naval Postgraduate School 1
University of St. Thomas, Minnesota 1
St. Louis University 1
CSIC - Instituto de Investigacion en Inteligencia Artificial 1
University of South Carolina 1
University of Southern California, Information Sciences Institute 2
Feng Chia University 2
National Taipei University of Technology 2
The University of North Carolina at Charlotte 2
Villanova University 2
University of Toronto 2
University of Lethbridge 2
University of Ferrara 2
Southern Illinois University 2
NYU Tandon School of Engineering 2
Kyushu University 2
Open University of the Netherlands 2
Sandia National Laboratories, New Mexico 2
Binghamton University State University of New York 2
University of Oxford 2
University of Washington, Seattle 2
Institute for Research in IT and Random Systems 2
University of Calcutta 2
King Fahd University of Petroleum and Minerals 2
Washington University in St. Louis 2
AT&T Inc. 2
Japan Advanced Institute of Science and Technology 2
Universite d' Evry Val d'Essonne 2
Lund University 2
Oldenburger Forschungs- Und Entwicklungsinstitut fur Informatik-Werkzeuge Und -Systeme 2
CEA LETI 2
Southern Methodist University 2
Virginia Commonwealth University 2
University of Denver 2
Indian Institute of Technology Hyderabad 2
Avant Corporation 2
Infineon Technologies AG 2
Universidad Autonoma de Madrid 2
University of Queensland 2
Brno University of Technology 2
Nokia Corporation 2
Beihang University 2
Illinois Institute of Technology 2
Cyprus University of Technology 2
Vanderbilt University 2
Kyungil University 2
George Mason University 2
Silesian Polytechnic University, Gliwice 2
University of Tokyo 2
National Key Laboratory for Parallel and Distributed Processing 2
Wright State University 2
Michigan State University 2
Texas A and M University System 2
CNRS Centre National de la Recherche Scientifique 2
East China Normal University 2
National Semiconductor Corporation 2
Altera Corporation 2
Radboud University Nijmegen 2
Daegu University 2
Technical University of Crete 2
Osaka University 2
Xidian University 2
University of Southampton 2
Universidad Autonoma de Barcelona 2
University of Cantabria 2
American University of Beirut 2
University of York 2
Realtek Semiconductor Corp. 2
Lebanese American University 2
University of Tubingen 2
Hefei University of Technology 2
Mentor Graphics Corporation 2
University of Twente 2
Indian Institute of Technology Roorkee 2
Columbia University 2
Khalifa University 2
IBM Research 2
Democritus University of Thrace 2
Instituto Nacional de Astrofisica Optica y Electronica 2
Michigan Technological University 2
NVIDIA 3
Budapest University of Technology and Economics 3
University of Oklahoma 3
Delft University of Technology 3
Hong Kong University of Science and Technology 3
Boston University 3
Bilkent University 3
Hunan University 3
Kitakyushu University 3
University of Brasilia 3
Case Western Reserve University 3
NXP Semiconductors 3
Tunghai University 3
Cisco Systems 3
Bar-Ilan University 3
University of Catania 3
University of Melbourne 3
Xilinx Inc. 3
Laboratoire Traitement et Communication de l'Information 3
Catholic University of Louvain, Louvain-la-Neuve 3
University of California System 3
Bogazici University 3
Memorial University of Newfoundland 3
Portland State University 3
CSIC-USE-Instituto de Microelectronica de Sevilla 3
University of Pisa 3
Global Foundries, Inc. 3
Stony Brook University 3
The University of Hong Kong 3
University of Dublin, Trinity College 3
SK Hynix Inc. 3
University of Victoria 3
Northeastern University China 3
Technical University of Dresden 3
National Sun Yat-Sen University Taiwan 3
Northwestern Polytechnical University China 4
Politecnico di Milano 4
University of Houston 4
University of Texas at San Antonio 4
University College Dublin 4
Hanyang University 4
University of Peloponnese 4
University of Paderborn 4
Nanhua University Taiwan 4
Canakkale 18th March University 4
Macronix International Co 4
Motorola 4
Techniques of Informatics and Microelectronics for integrated systems Architecture (TIMA) 4
Laboratoire des Sciences et Techniques de l'Information, de la Communication et de la Connaissance 4
Hewlett-Packard Inc. 4
Motorola Austin 4
Sunchon National University 4
IBM Austin Research Laboratory 4
Peking University 4
Swiss Federal Institute of Technology, Zurich 4
University of Milan 4
Pohang University of Science and Technology 4
University of Cyprus 4
University of Arkansas - Fayetteville 4
TU Dortmund University 4
New York University 5
University of Cincinnati 5
IBM Zurich Research Laboratory 5
Technical University of Darmstadt 5
Electronics Telecommunication Research Institute 5
Instituto Superior Tecnico 5
University of New South Wales 5
Fujitsu America, Inc. 5
Indian Institute of Engineering Science and Technology, Shibpur, Howrah, India 5
Qualcomm Incorporated 5
Chongqing University 5
Norwegian University of Science and Technology 5
Syracuse University 5
University of North Texas 5
Microsoft Corporation 5
Universite de Bretagne Occidentale 5
STMicroelectronics 5
Kyushu Institute of Technology 5
Western Michigan University 5
University of Bristol 5
Philips Research 5
New York University Abu Dhabi 5
University of Tennessee Space Institute 5
Technical University of Madrid 5
RWTH Aachen University 5
Louisiana State University 5
Agilent Technologies 5
Rice University 5
Industrial Technology Research Institute of Taiwan 6
Nebrija University 6
City University of Hong Kong 6
National Technical University of Athens 6
Sogang University 6
Universite Nice Sophia Antipolis 6
Chung Hua University 6
Northeastern University 6
Universidade de Lisboa 6
University of California, Davis 6
Magma Design Automation, Inc. 6
Holst Centre 6
Brown University 6
Universite de Rennes 1 6
University of Verona 6
North Carolina State University 6
University of Illinois 6
Instituto de Engenharia de Sistemas e Computadores Investigacao e Desenvolvimento em Lisboa 7
Technion - Israel Institute of Technology 7
HP Labs 7
National University of Singapore 7
State University of Campinas 7
IBM Thomas J. Watson Research Center 7
National Taiwan University of Science and Technology 7
Massachusetts Institute of Technology 7
University of Minnesota System 7
Royal Institute of Technology 7
Washington State University Pullman 7
Linkoping University 7
Barcelona Supercomputing Center 7
University of Calgary 8
University of Wisconsin Madison 8
Iowa State University 8
National Chung Hsing University 8
Indian Institute of Technology, Delhi 8
Nanyang Technological University 8
University of Electronic Science and Technology of China 8
Texas Instruments 8
Ulsan National Institute of Science and Technology 8
University of California, Santa Cruz 8
Zhejiang University 8
McGill University 9
University of Illinois at Chicago 9
Drexel University 9
University of Connecticut 9
University of Michigan 9
Nanjing University 9
Freescale Semiconductor 9
Polytechnic School of Montreal 9
National Central University Taiwan 9
Northwestern University 9
Stanford University 9
University of Freiburg 9
Indian Institute of Technology, Guwahati 9
Swiss Federal Institute of Technology, Lausanne 9
University of Bonn 9
University of Montreal 9
Broadcom Limited, San Jose 10
Southern Illinois University at Carbondale 10
Korea University 10
The University of British Columbia 10
Chung Yuan Christian University 10
Shanghai Jiaotong University 10
NEC Laboratories America, Inc. 10
University of Stuttgart 10
University of Iowa 10
University of Minnesota Twin Cities 10
Karlsruhe Institute of Technology 10
NEC Corporation 10
Federal University of Santa Catarina 11
Fuzhou University 11
University of Massachusetts Amherst 11
Imperial College London 11
University of Utah 11
Princeton University 11
University of Bologna 11
National University of Defense Technology China 12
Indian Statistical Institute, Kolkata 12
Universite Grenoble Alpes 12
Korea Advanced Institute of Science & Technology 12
University of Notre Dame 13
Yuan Ze University 13
University of Waterloo 13
Utah State University 13
Complutense University of Madrid 14
University of Auckland 14
Technical University of Munich 14
Samsung Electronics Co. Ltd. 14
Academia Sinica Taiwan 14
University of Science and Technology of China 14
Federal University of Rio Grande do Sul 15
IBM, USA 15
University of South Florida Tampa 15
National Chung Cheng University 15
Indian Institute of Technology, Madras 15
University of California, Berkeley 15
University of Patras 15
Fudan University 15
Renesas Electronics Corporation 15
TUMCREATE Limited 16
Sharif University of Technology 16
Chinese Academy of Sciences 16
Hong Kong Polytechnic University 17
Catholic University of Leuven, Leuven 17
University of Arizona 17
Ghent University 18
University of Tehran 18
University of Erlangen-Nuremberg 19
University of Texas at Dallas 19
Virginia Tech 20
Cadence Design Systems 20
Pennsylvania State University 21
Georgia Institute of Technology 21
University of California, Santa Barbara 21
University of Illinois at Urbana-Champaign 23
National Cheng Kung University 25
University of Florida 26
University of Southern California 27
Tsinghua University 28
Arizona State University 28
University of Maryland 28
Eindhoven University of Technology 28
Synopsys Incorporated 28
Chinese University of Hong Kong 31
University Michigan Ann Arbor 32
Interuniversity Micro-Electronics Center at Leuven 35
Duke University 35
Polytechnic Institute of Turin 37
Intel Corporation 39
Carnegie Mellon University 43
National Taiwan University 43
University of California, Riverside 44
University of Pittsburgh 44
University of Texas at Austin 45
Purdue University 45
University of California, San Diego 49
Texas A and M University 51
Indian Institute of Technology, Kharagpur 55
National Chiao Tung University Taiwan 59
University of California, Los Angeles 65
University of California, Irvine 67
National Tsing Hua University 73
Seoul National University 80

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


2018
Volume 23 Issue 4, June 2018  Issue-in-Progress
Volume 23 Issue 3, April 2018
Volume 23 Issue 2, January 2018

2017
Volume 23 Issue 1, October 2017
Volume 22 Issue 4, July 2017
Volume 22 Issue 3, May 2017
Volume 22 Issue 2, March 2017 Special Section of IDEA: Integrating Dataflow, Embedded Computing, and Architecture

2016
Volume 22 Issue 1, December 2016
Volume 21 Issue 4, September 2016
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
 
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