ACM Journal on

Emerging Technologies in Computing (JETC)

Latest Articles

An Accuracy Tunable Non-Boolean Co-Processor Using Coupled Nano-Oscillators

As we enter an era witnessing the closer end of Dennard scaling, where further reduction in power supply-voltage to reduce power consumption becomes... (more)

Design Considerations for Memristive Crossbar Physical Unclonable Functions

Hardware security has emerged as a field concerned with issues such as integrated circuit (IC)... (more)

Statistical Optimization of FinFET Processor Architectures under PVT Variations Using Dual Device-Type Assignment

With semiconductor technology scaling to the 22nm node and beyond, fin field-effect transistor... (more)

Heterogeneous HMC+DDRx Memory Management for Performance-Temperature Tradeoffs

Three-dimensional DRAMs (3D-DRAMs) are emerging as a promising solution to address the memory wall problem in computer systems. However, high... (more)

Robust In-Field Testing of Digital Microfluidic Biochips

Microfluidic technology offers vast promise for implementing biochemistry-on-chip with diverse applications to clinical diagnosis, genome analysis,... (more)

Resource-Constrained Scheduling for Digital Microfluidic Biochips

Digital microfluidics based on electrowetting-on-dielectric technology is poised to revolutionize many aspects of chemistry and biochemistry through... (more)

Impact of Process Variation on Self-Reference Sensing Scheme and Adaptive Current Modulation for Robust STTRAM Sensing

Spin-Transfer-Torque RAM (STTRAM) is a promising technology for high-density on-chip cache due to... (more)

Improving Energy Efficiency in Wireless Network-on-Chip Architectures

Wireless Network-on-Chip (WiNoC) represents a promising emerging communication technology for addressing the scalability limitations of future... (more)


About JETC

The Journal of Emerging Technologies in Computing Systems invites submissions of original technical papers describing research and development in emerging technologies in computing systems. Major economic and technical challenges are expected to impede the continued scaling of semiconductor devices. This has resulted in the search for alternate mechanical, biological/biochemical, nanoscale electronic, asynchronous and quantum computing and sensor technologies. 

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A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks

FPGA-based hardware accelerators for convolutional neural networks (CNNs) have obtained great attentions due to their higher energy efficiency than GPUs. However, it is challenging for FPGA-based solutions to achieve a higher throughput than GPU counterparts. In this paper, we demonstrate that FPGA acceleration can be a superior solution in terms of both throughput and energy efficiency when a CNN is trained with binary constraints on weights and activations. Specifically, we propose an optimized FPGA accelerator architecture tailored for bitwise convolution and normalization that features massive spatial parallelism with deep pipelines stages. A key advantage of the FPGA accelerator is that its performance is insensitive to data batch size, while the performance of GPU acceleration varies largely depending on the batch size of the data. Experiment results show that the proposed accelerator architecture for binary CNNs running on a Virtex-7 FPGA is 8.3x faster and 75x more energy-efficient than a Titan X GPU for processing online individual requests in small batch sizes. For processing static data in large batch sizes, the proposed solution is on a par with a Titan X GPU in terms of throughput while delivering 9.5x higher energy efficiency.

Energy Efficient Neural Computing with Approximate Multipliers

A Learning-Based Thermal-Sensitive Power Optimization Approach for Optical NoCs

Optical networks-on-chip (NoCs) based on silicon photonics have been proposed as emerging on-chip communication architectures for chip multiprocessors with large core counts. However, due to thermal sensitivity of optical devices used in optical NoCs, on-chip temperature variations cause significant thermal-induced optical power loss which would counteract the power advantages of optical NoCs. To tackle this problem, in this work, we propose a learning-based thermal-sensitive power optimization approach for mesh or torus-based optical NoCs in presence of temperature variations. The key techniques proposed includes an initial device setting and thermal tuning mechanism which is a device-level optimization technique, and a learning-based thermal-sensitive adaptive routing algorithm which is a network-level optimization technique. Simulation results of an 8x8 mesh-based optical NoC show that the proposed initial device setting and thermal tuning mechanism confines the worst-case thermal-induced energy consumption to be on the order of tens of pJ/bit, by avoiding significant thermal-induced optical power loss caused by temperature-dependent wavelength shifts. Besides, it shows that the learning-based thermal-sensitive adaptive routing algorithm is able to find an optimal path with the minimum estimated thermal-induced power consumption for each communication pair. The proposed routing has a greater space for optimization especially for applications with more long-distance traffic.

An Integrated Nanophotonic Parallel Adder

ntegrated optical circuits with nanophotonic devices have attracted significant attention due to its low power dissipation and light-speed operation. With light interference and resonance phenomena, the nanophotonic device works as a voltage-controlled optical pass-gate like a pass-transistor. This paper first introduces a concept of the optical pass-gate logic, and then proposes a parallel adder circuit based on the optical pass-gate logic. Experimental results obtained with an optoelectronic circuit simulator show advantages of our optical parallel adder circuit over a traditional CMOS-based parallel adder circuit.

Deep Neural Network Optimized to Resistive Memory with Nonlinear Current-Voltage Characteristics

Artificial Neural Network computation relies on intensive vector-matrix multiplications. Recently, the emerging nonvolatile memory (NVM) crossbar array showed a feasibility of implementing such operations with high energy efficiency, thus there are many works on efficiently utilizing emerging NVM crossbar array as analog vector-matrix multiplier. However, its nonlinear I-V characteristics restrain critical design parameters, such as the read voltage and weight range, resulting in substantial accuracy loss. In this paper, instead of optimizing hardware parameters to a given neural network, we propose a methodology of reconstructing a neural network itself optimized to resistive memory crossbar arrays. To validate the proposed method, we simulated various neural network with MNIST and CIFAR-10 dataset using two different specific Resistive Random Access Memory (RRAM) model. Simulation results show that our proposed neural network produces significantly higher inference accuracies than conventional neural network when the synapse devices have nonlinear I-V characteristics.

Efficient LDPC Code Design for Combating Asymmetric Errors in STT-RAM

STT-RAM is a promising emerging memory technology in future memory hierarchy. However, its unique reliability challenges, i.e. asymmetric bit failure mechanism at different bit flippings, have raised significant concerns in its applications. Recent studies even show that the common memory error repair remedies cannot efficiently address them. In this paper, we systematically study the potentials of strong LDPC code for combating such unique asymmetric errors in both SLC and MLC STT-RAM designs. A generic STT-RAM channel model suitable for the SLC/MLC designs, is developed to analytically calibrate all the accumulated asymmetric factors of write/read operations. The key initial information for LDPC decoding, namely asymmetric log-likelihood-ratio (A-LLR), is redesigned and extracted from the proposed channel model, to unleash LDPC's asymmetric error correcting capability. LDPC codec is also carefully designed to lower the hardware cost by leveraging the systematic-structured parity-check matrix. Then two customized short length LDPC codes--(585,512) and (683,512) augmented from the semi-random parity-check matrix and the A-LLR based asymmetric decoding, are proposed for SLC and MLC designs. Experiments show that our proposed LDPC designs can improve STT-RAM reliability by at least 102/104 when compared to existing error-correction codes for SLC/MLC design, demonstrating the feasibility of LDPC solutions on STT-RAM.

A Chip-level Anti-reverse Engineering Technique

Protection of intellectual property (IP) is increasingly critical for IP vendors in semiconductor industry. However, advanced reverse engineering techniques can physically disassemble the chip and derive the IPs at a much lower cost than the value of IP design that chips carry. This invasive hardware attack obtaining information from IC chips always violates the IP rights of vendors. The intent of this paper is to present a chip- level reverse engineering resilient design technique. In the proposed technique, transformable interconnects enable an IC chip to maintain functioning in normal use and to transform its physical structure into another pattern when exposed to invasive attacks. The newly-created patten will signi cantly increase the di culty of reverse engineering. Furthermore, to improve the e ectiveness of the proposed technique, a systematic design method is developed targeting integrated circuits with multiple design constraints. Simulations have been conducted to demonstrate the capability of the proposed technique, which generates extremely large complexity for reverse engineering with manageable overhead.

Integrated High Speed Optical SerDes over 100GBd Based on Optical Time Division Multiplexing

An on-chip optical transceiver for 100GBd+ transmission system is proposed based on optical time division multiplexing (OTDM) technology. Co-designed with the double rail driver, on-chip Mach-Zehnder interferometer (MZI) switch repeatedly generates extremely narrow sampling pulses of only 12ps full width at half maximum (FWHM). The 4-stage cascaded high speed switches driven synchronously at 25GHz are employed to divide the 40ps clock cycle into 4 recurrent 9.5ps time slots, each for one sub-channel, and one time slot of 2ps for clock recovery. Thus, a 100GBd optical transmission channel is realized based on 4 bit 25Gbps bit-streams at the electrical interface. The crosstalk extinction ratio at the worst sub-channel is 1.9dB with 10dB depth modulator, and the insertion loss caused by the OTDM mechanism is about 10dB. Further, a 5-bit OTDM system based on dark modulation is proposed to generate a 125GBd transmission based on 5 bit 25Gbps bit-streams at the electrical interface. The extinction ratio performance is better even the symbol rate is higher. However, the insertion loss and electron complexity are sacrificed.

A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers

Current Deep Learning approaches that have been very successful use convolutional neural networks (CNN) trained on large graphical processing units (GPU)-based computers. Three limitations of this approach are: 1) they are based on a simple layered network topology, i.e., highly connected layers, without intra-layer connections; 2) the networks are manually configured to achieve optimal results, and 3) the implementation of neuron model is expensive in both cost and power. In this paper, we evaluate deep learning models using three different computing architectures to address these problems: quantum computing to train complex topologies, high performance computing (HPC) to automatically determine network topology, and neuromorphic computing for a low-power hardware implementation. We use the MNIST dataset for our experiment, due to input size limitations of current quantum computers. Our results show the feasibility of using the three architectures in tandem to address the above deep learning limitations. We show a quantum computer can find high quality values of intra-layer connections weights, in a tractable time as the complexity of the network increases; a high performance computer can find optimal layer-based topologies; and a neuromorphic computer can represent the complex topology and weights derived from the other architectures in low power memristive hardware.

Scalable Path-Setup Scheme for All-Optical Dynamic Circuit Switched NoCs in Cache Coherent CMPs

We propose a novel arbitrated all-optical path-setup scheme for tiled CMPs able to configure multiple photonic switches simultaneously. The proposed solution reduces the overhead in each transmission and, most importantly, allows optical circuit-switched networks to serve cache coherence traffic. We propose a Single-Arbiter scheme where the whole topology is managed by a central module (arbiter) that takes care of the path-setup procedures. Then, we propose a logically clustered architecture (Multi-Arbiter) in which an arbiter is allocated in each core-cluster and an ad-hoc distributed reservation protocol coordinates arbiters to manage inter-cluster path reservations. We show that the Single-Arbiter architecture outperforms an optical network with sequential path-setup (Optical Baseline) in case of 8- and 16-core setups. However, due to serialization issues, the Single-Arbiter solution is not capable to scale towards bigger setups. Conversely, our Multi-Arbiter hierarchical solution allows to improve performance up to almost 20% and 40% also for 32- and 64-core setups. Energy-wise, the analyzed solutions enable significant savings compared to both the Optical Baseline, and to the electronic counterpart. Results show more than 25% improvement for the Single-Arbiter in case of the 8- and 16-core cases and more than 40% and 15% savings for the Multi-Arbiter in case of 32- and 64-core.

MFNW: An MLC/TLC Flip-N-Write Architecture

The increased capacity of multi-level cells (MLC) and triple-level cells (TLC) in emerging non-volatile memory (NVM) technologies comes at the cost of higher cell write energies and lower cell endurance. In this paper, we describe MFNW, a Flip-N-Write encoding that effectively reduces the write energy and improves the endurance of MLC NVMs. Two MFNW modes are analyzed: cell Hamming distance (CHD) mode and energy Hamming distance (EHD) mode. We derive an ap- proximate model that accurately predicts the average number of cell writes that is proportional to the energy consumption, enabling word length optimization to maximize energy reduction subject to memory overhead constraints. In comparison to state-of-the-art MLC NVM encodings, our simulation results indicate that MFNW achieves up to 7%39% saving for 1.56%50% NVM overhead. Extra energy saving (up to 19%47%) can be achieved for the same NVM overhead using our proposed variations of MFNW, i.e., MFNW2 and MFNW3. For TLC NVMs, we propose TFNW that can achieve up to 53% energy saving in comparison to state-of-the-art TLC NVM encodings. Endurance simulations indicate that MFNW (TFNW) is capable of extending MLC (TLC) NVM life by up to 100% (87%).

Reducing power consumption of lasers in photonic NoCs through application-specific mapping

To face the complex communication problems that arise as the number of on-chip components grows up, photonic networks-on-chip have been recently proposed to replace electronic interconnects. However, photonic networks-on-chip lack efficient laser sources, possibly resulting in an inefficient or inoperable architecture. In this technical note, we introduce a methodology for the design space exploration of optical NoC mapping solutions, which automatically assigns application tasks to the network tiles such that the total laser power consumption is minimized. The experimental evaluation shows average reductions of 34.7% and 27.35% in the power consumption compared to respectively application-oblivious and randomly mapped photonic NoCs, allowing improved energy efficiency.

Offline optimization of wavelength allocation and laser power in nanophotonic interconnects

ONoC is a promising communication medium for large-scale MPSoC. Indeed ONoC can outperform classical electrical NoC in terms of energy efficiency and bandwidth density, in particular, because this medium can support multiple transactions at the same time on different wavelengths by using WDM. However, multiple signals sharing simultaneously the same part of a waveguide can lead to inter-channel crosstalk noise. is problem impacts the Signal to Noise Ratio (SNR) of the optical signals, which leads to an increase in the Bit Error Rate at the receiver side. If a specific BER is targeted, an increase of laser power should be necessary to satisfy the SNR. In this context, an important issue is to evaluate the laser power needed to satisfy the various desired communication bandwidths based on the BER performance requirements. In this paper, we propose an o -line approach that concurrently optimizes the laser power scaling and execution time of a global application. A set of different levels of power is introduced for each laser, to ensure that optical signal can be emitted with just-enough power to ensure targeted BER. As result, most promising solutions are highlighted for mapping a defined application onto 16-core ring-based WDM ONoC.

A Quantum Computing Performance Simulator Based on Circuit Failure Probability and Fault Path Counting

Quantum computing performance simulators are needed to provide practical metrics for the effectiveness of executing theoretical quantum information processing protocols on physical hardware. In this work, we present a tool to simulate the execution of fault tolerant quantum computation by automating the tracking of common fault paths for error propagation through an encoded circuit block and quantifying the failure probability of each encoded qubit throughout the computation. Our simulator runs a fault path counter on encoded circuit blocks to determine the probability that two or more errors remain on the encoded qubits after each block is executed, and combines errors from all the encoded blocks to estimate performance metrics such as the logical qubit failure probability, the overall circuit failure probability, the number of qubits used, and the time required to run the overall circuit. Our technique efficiently estimates the upper bound of the error probability and provides a useful measure of the error threshold at low error probabilities where conventional Monte Carlo methods are ineffective. We describe a way of simplifying the fault tolerant measurement process in the Steane code to reduce the number of error correction steps necessary. We present simulation results comparing the execution of quantum adders, which constitute a major part of Shor's algorithm.


Publication Years 2005-2018
Publication Count 368
Citation Count 952
Available for Download 368
Downloads (6 weeks) 1517
Downloads (12 Months) 18674
Downloads (cumulative) 154591
Average downloads per article 420
Average citations per article 3
First Name Last Name Award
Iris Bahar ACM Distinguished Member (2012)
Krishnendu Chakrabarty ACM Fellows (2013)
ACM Distinguished Member (2008)
ACM Senior Member (2006)
Jason Cong ACM Fellows (2008)
Giovanni DeMicheli ACM Fellows (2001)
Nikil D. Dutt ACM Fellows (2014)
ACM Distinguished Member (2007)
John P Hayes ACM Fellows (2001)
Niraj Jha ACM Fellows (2003)
Andrew Kahng ACM Fellows (2012)
Gabriel H Loh ACM Fellows (2017)
ACM Distinguished Member (2014)
ACM Senior Member (2009)
Roman Lysecky ACM Senior Member (2014)
Sharad Malik ACM Fellows (2014)
Igor Markov ACM Distinguished Member (2011)
ACM Senior Member (2007)
Margaret Martonosi ACM Fellows (2009)
Subhasish Mitra ACM Fellows (2014)
Dharmendra Modha ACM Gordon Bell Prize
Special Category (2009) ACM Gordon Bell Prize
Special Category (2009)
Saraju P. Mohanty ACM Senior Member (2010)
Trevor Mudge ACM Fellows (2016)
ACM-IEEE CS Eckert-Mauchly Award (2014)
Massoud Pedram ACM Distinguished Member (2008)
Dhiraj Pradhan ACM Fellows (1999)
Steven K Reinhardt ACM Distinguished Member (2010)
Sachin S. Sapatnekar ACM Fellows (2016)
John E Savage ACM Fellows (1996)

First Name Last Name Paper Counts
Niraj Jha 21
Krishnendu Chakrabarty 11
Kaushik Roy 8
Wei Zhang 7
Michael Niemier 6
Rodney Van Meter 6
Yuan Xie 6
Li Shang 6
Fabrizio Lombardi 6
Xiaobosharon Hu 5
Pierre Gaillardon 5
Partha Pande 5
Mehdi Tahoori 5
Morteza Zamani 4
Jiang Xu 4
Mariagrazia Graziano 4
Shuo Wang 4
Mehdi Sedighi 4
Bhargab Bhattacharya 4
Lei Wang 4
Alvin Lebeck 4
Mohammad Tehranipoor 4
Chris Dwyer 4
Mahboobeh Houshmand 3
Swaroop Ghosh 3
Spyros Tragoudas 3
Mahdi Nikdast 3
Michael Crocker 3
Paul Wettin 3
Amlan Chakrabarti 3
Jordi Cortadella 3
Sourindra Chaudhuri 3
Vijaykrishnan Narayanan 3
Jianwei Dai 3
Aoxiang Tang 3
Yaoyao Ye 3
Xuan Wang 3
Tao Xu 3
Fei Su 3
Ferdinand Peper 3
Arun Ravindran 3
Jacques Klein 3
Weisheng Zhao 3
Keshab Parhi 3
Nagarajan Ranganathan 3
Maurizio Zamboni 3
Eren Kursun 3
Arindam Mukherjee 3
Robert Wille 3
Tinoosh Mohsenin 3
Xiaowen Wu 3
Kishor Trivedi 3
Rolf Drechsler 3
Frederic Chong 2
Siddhartha Datta 2
Mehdi Saeedi 2
Chiachun Lin 2
Djaafar Chabi 2
Mrigank Sharad 2
Reza Rad 2
Sachin Sapatnekar 2
Giovanni De Micheli 2
Santosh Khasanvis 2
Douglas Densmore 2
Chris Myers 2
Harika Manem 2
Sudip Roy 2
Kolin Paul 2
Stefano Frache 2
Yaojun Zhang 2
Giorgio Natale 2
Lionel Torres 2
Bao Liu 2
Cheng Zhuo 2
Bryant Wysocki 2
Philip Brisk 2
Massoud Pedram 2
Garrett Rose 2
Jacob Murray 2
Giovanni Micheli 2
Saibal Mukhopadhyay 2
John Savage 2
Byungsoo Choi 2
Damien Querlioz 2
Rivalino Matias 2
Xuanyao Fong 2
Oliver Keszocze 2
Sparsh Mittal 2
Ashok Palaniswamy 2
Jing Huang 2
André DeHon 2
Suman Datta 2
Lei Wang 2
Zhehui Wang 2
Tsungyi Ho 2
Mehrdad Nourani 2
Min Chen 2
Sungkyu Lim 2
Alexis De Vos 2
Veezhinathan Kamakoti 2
Faquir Jain 2
Anil Wipat 2
Shashikanth Bobba 2
Pallav Gupta 2
Marco Ottavi 2
Bharat Joshi 2
Josep Carmona 2
Philippe Coussy 2
Ruth Bahar 2
Xianmin Chen 2
Mona Arabzadeh 2
Giovanni De Micheli 2
Jaidev Patwardhan 2
Luca Schiano 2
Yongtae Kim 2
Bipul Paul 2
Prateek Mishra 2
Baris Taskin 2
Arighna Deb 2
Ulf Schlichtmann 2
John Hayes 2
Deliang Fan 2
Amlan Ganguly 2
Eric Rachlin 2
Peng Li 2
Dhiraj Pradhan 2
Torben Mogensen 2
Hafizur Rahaman 2
Swarup Bhunia 2
Daniel Grissom 2
Debasis Mitra 2
Xueqing Li 2
Behrooz Shirazi 2
Anand Raghunathan 2
Rangharajan Venkatesan 2
Vijay Reddy 2
Sumeet Gupta 2
Mostafizur Rahman 2
Csaba Moritz 2
Himanshu Thapliyal 2
Xiaoyu Song 1
Samik Some 1
Md Rahman 1
Gerhard Dueck 1
Olivier Thomas 1
Yu Cao 1
Taemin Kim 1
Zichuan Liu 1
Sajid Anwar 1
Nong Xiao 1
Houman Homayoun 1
Yu Wang 1
Howie Huang 1
Andrew Cross 1
Tzvetan Metodi 1
Jeyavijayan Rajendran 1
Michael Henry 1
Ashok Srivastava 1
Clay Mayberry 1
Benjamin Gojman 1
Venkataraman Mahalingam 1
Krishnendu Chakrabarty 1
Xuemei Chen 1
Kerry Bernstein 1
James Tour 1
Peter Kogge 1
Zahra Sasanian 1
Garrett Rose 1
H Ugurdag 1
Meng Zhang 1
Kenichi Morita 1
H Wong 1
Soumya Eachempati 1
Yuan Xie 1
V Kamakoti 1
A Bhattacharya 1
Spyros Tragoudas 1
Jaeyoon Kim 1
Niraj Jha 1
Pohsun Wu 1
Misagh Khayambashi 1
Vijay Raghunathan 1
Tao Li 1
Kwangting Cheng 1
Jue Wang 1
Miguel Lastras-Montaño 1
Melika Payvand 1
Matteo Filippi 1
Dongjin Kim 1
Rajit Manohar 1
Fabien Clermidy 1
Yanbin Wang 1
Roberto Pietrantuono 1
Jing Zhao 1
Gautam Kapila 1
Wensi Wang 1
Terence O'Donnell 1
Elisa Ficarra 1
Rohit Shenoy 1
Bipin Rajendran 1
Subho Chatterjee 1
Alexander Driskill-Smith 1
Chenpang Kung 1
Swaroop Ghosh 1
Steven Garverick 1
Yaojoe Yang 1
Diana Franklin 1
Sandeep Gupta 1
Gilbert Hendry 1
Kyle Preston 1
Nicolas Sherwood-Droz 1
Yong Shim 1
Eldhose Peter 1
Peng Li 1
Stéphane Burignat 1
Tetsuo Yokoyama 1
Alireza Shafaei 1
William Hwang 1
Pierre Mudry 1
Gianluca Tempesti 1
André Stauffer 1
Marya Lieberman 1
Jie Deng 1
Ali Saidi 1
Yuchun Ma 1
Yongxiang Liu 1
Eiri Hashimoto 1
Yutaka Sacho 1
Andy Chiu 1
Alessandro Barenghi 1
Shahed Quadir 1
John Chandy 1
PAOLO Prinetto 1
Mario Barbareschi 1
Jaewon Jang 1
Chengwei Lin 1
Tiansheng Zhang 1
Yue Zhang 1
Claude Chappert 1
Sungjun Yoon 1
Xuhao Chen 1
Xia Zhang 1
Ajay Joshi 1
Matteo Reorda 1
Hassan Mohammadi 1
Jack Sampson 1
Abbas Dehghani 1
Kamal Jamshidi 1
Jianyu Chen 1
Sylvain Claireux 1
Guangyan Zhang 1
Davide Zoni 1
Andrew Kahng 1
Rajat Chakraborty 1
Zhen Zhang 1
Maik Hadorn 1
Perrine Batude 1
Shengqi Yang 1
Wenping Wang 1
Wei Zhang 1
Pinaki Mazumder 1
Ruchir Puri 1
Leibin Ni 1
Margaret Martonosi 1
Jiajia Li 1
Xiaokun Yang 1
Ming Fan 1
Salvatore Monteleone 1
Christof Teuscher 1
Ali Afzali-Kusha 1
Isaac Chuang 1
Jie Zhang 1
Kohei Itoh 1
Minlun Chuang 1
Ashwani Sharma 1
Aravinda Kar 1
Mark Oskin 1
Jin He 1
Kevin Chang 1
Xinmin Yu 1
M Balakrishnan 1
Michael Leuchtenburg 1
Csaba Moritz 1
Pavan Panchapakeshan 1
Jan Madsen 1
Sandip Tiwari 1
Weichen Liu 1
Vineet Sahula 1
Yang Du 1
Bertrand Granado 1
Nasim Farahini 1
Ahmed Hemani 1
Ashkan Eghbal 1
AmirAli Ghofrani 1
Luke Theogarajan 1
Chulmin Kim 1
Kyuho Park 1
Hyunchul Seok 1
Jun Pang 1
Alex Yakovlev 1
Steve Furber 1
Simon Davidson 1
Steve Temple 1
Nor Haron 1
Said Hamdioui 1
Roberto Natella 1
Roman Lysecky 1
Janet Roveda 1
Chung Lam 1
Gregory Corrado 1
Roger Cheek 1
Charles Rettner 1
Wengfai Wong 1
Chengkok Koh 1
R Williams 1
Dmytro Apalkov 1
Penli Huang 1
Hai Li 1
Yiran Chen 1
Vlasia Anagnostopoulou 1
Georgios Varsamopoulos 1
Hengxing Tan 1
Moustafa Mohamed 1
Karthik Yogendra 1
Chamika Liyanagedera 1
Abhishek Koneru 1
Cong Liu 1
Jie Han 1
Stijn De Baerdemacker 1
Shinobu Fujita 1
Thomas Lee 1
Krisztiàn Flautner 1
Takanori Maebashi 1
Dennis Huo 1
Luca Breveglieri 1
Qianying Tang 1
Youngok Pino 1
Matthew French 1
Trongnhan Le 1
Arnaud Carer 1
Wang Kang 1
Anand Raghunathan 1
Arnab Biswas 1
Zhe Wang 1
Yao Wang 1
Matheus Moreira 1
Peter Beerel 1
Qian Wang 1
Juinndar Huang 1
Jungsang Kim 1
Yuan Xue 1
Chengmo Yang 1
Guillaume Prenat 1
Debesh Das 1
Jinho Lee 1
Kyungsu Kang 1
Naser MohammadZadeh 1
Weikai Shih 1
Nathan McDonald 1
Muzaffer Simsir 1
Natalio Krasnogor 1
Jude Rivers 1
Cory Merkel 1
Manan Suri 1
Amlan Gangul 1
Xin Li 1
Abhronil Sengupta 1
Wonyong Sung 1
Adam Page 1
Ali Jafari 1
Subramanian Iyer 1
Yakir Vizel 1
Mingzhu Deng 1
Shindug Kim 1
Youngsun Youn 1
Bing Li 1
Ye Yu 1
Jaydeep Kulkarni 1
Andrea Mineo 1
Davide Patti 1
Fuwei Chen 1
Saeed Safari 1
Yin Liu 1
Weiyu Tsai 1
Mesbah Uddin 1
Vineeth Vijayakumaran 1
Manoj Yuvaraj 1
Paolo Grani 1
Naokatsu Yamamoto 1
William Munro 1
Chunyao Wang 1
Makoto Naruse 1
Motoichi Ohtsu 1
Hu Xu 1
Bryan Black 1
Douglas Tougaw 1
Yang Zhao 1
Mircea Stan 1
Timothy Dysart 1
Pritish Narayanan 1
Michael Gladshtein 1
Jeffrey Krichmar 1
Yong Zhang 1
Benoît Miramond 1
Hugues Wouafo 1
Syed Jafri 1
Siddharth Gaba 1
Seongmin Kim 1
Michael Kishinevsky 1
Basit Sheikh 1
Delong Shang 1
Cathy Chancellor 1
Claude Cirba 1
Ahmed Louri 1
Rubens Matos 1
F De Souza 1
Ningning Wang 1
Brendan O'Flynn 1
Cian O'Mathuna 1
Jeff Siebert 1
Jianjia Chen 1
Lothar Thiele 1
Piero Fariselli 1
Matthew Breitwisch 1
Yifang Liu 1
Yang Yi 1
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Franjo Ivančić 1
Martin Roetteler 1
Erik Lindgren 1
Jennifer Hallinan 1
Harold Fellermann 1
Zhiqiang Li 1
Bibhash Sen 1
Guangyu Sun 1
Dhireesha Kudithipudi 1
Anuroop Vidapalapati 1
Masoud Zamani 1
Yu Cao 1
Pareesa Golnari 1
Mingjie Lin 1
Armin Alaghi 1
Fang Liu 1
Songping Yu 1
Yu Hu 1
Xiaowei Li 1
Mohammad Tavana 1
Seyedhamidreza Motaman 1
Tingting Hwang 1
Huazhong Yang 1
Neel Gala 1
Sarada Krithivasan 1
MD Majumder 1
Matthias Beste 1
Darshan Thaker 1
Kouichi Akahane 1
Daniel Sorin 1
Minhao Zhu 1
Suman Sah 1
Benjamin Belzer 1
Vivek Shende 1
Jonathan Bean 1
Weiguo Tang 1
Okan Palaz 1
Kailash Gopalakrishnan 1
Niladri Mojumder 1
Adrian Ong 1
Eugene Chen 1
Jing Li 1
Muthukumar Murugan 1
Zahra Abbasi 1
Sanjay Ranka 1
Phanisekhar Bv 1
Kevin Fox 1
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Johnnie Chan 1
Zheng Li 1
Janibul Bashir 1
Kia Bazargan 1
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Guoqing Chen 1
Robert Glück 1
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Yaowen Chang 1
Bruce Tidor 1
Jason Cong 1
Shinjiro Toyoda 1
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Ruggero Susella 1
Guido Bertoni 1
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Yingjie Lao 1
Navid Asadizanjani 1
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Suzanne Lesecq 1
Ke Jiang 1
Peng Yang 1
Brandon Jennings 1
Steven Levitan 1
Haibo Wang 1
Stephan Wong 1
Ramy Tadros 1
Joydeep Rakshit 1
Lungyen Chen 1
Laurent Becker 1
Kalyan Biswas 1
Mohsen Raji 1
Hossein Pedram 1
S Srinivasan 1
Shunming Syu 1
Rodney Meter 1
Syyen Kuo 1
Marc Galceran-Oms 1
John Bainbridge 1
Aaron Dingler 1
Stefano Russo 1
Senthil Arasu 1
Fumio Machida 1
Jean Araujo 1
Paulo Maciel 1
Mike Hayes 1
Justin Wenck 1
Rajeevan Amirtharajah 1
Damiano Piovesan 1
Kathleen Marchal 1
Jos Vanderleyden 1
Enrico Macii 1
Wujie Wen 1
Vladimir Nikitin 1
Daniel Lottis 1
Kiseok Moon 1
Kwangting Cheng 1
Margot Damaser 1
David Du 1
Martin Arlitt 1
Tao Yang 1
Tridib Mukherjee 1
Hafiz Sheikh 1
Ishfaq Ahmad 1
Landon Sego 1
Manish Vachharajani 1
Mark Cianchetti 1
David Albonesi 1
Smruti Sarangi 1
Hui Li 1
Martha Sepúlveda 1
Mrityunjay Ghosh 1
Chialin Yang 1
Daniel Mange 1
Oana Boncalo 1
H Wong 1
Taeho Kgil 1
Yong Zhan 1
Tayebeh Bahreini 1
Lu Wang 1
Clare Thiem 1
Milan Patnaik 1
Martin Barke 1
Swapnil Bhatia 1
Manojit Dutta 1
Bo Yuan 1
Woohyung Lee 1
Somnath Paul 1
Priyadarshini Panda 1
Hantao Huang 1
Sukyung Yoon 1
Soheil Salehi 1
Ronald Demara 1
Mohammad Hajkazemi 1
Sukanta Bhattacharjee 1
Vincenzo Catania 1
Maurizio Palesi 1
Keith Britt 1
Wulong Liu 1
Nathaniel Cady 1
Naseef Mansoor 1
Guru Venkataramani 1
James Donald 1
Teng Lu 1
Zhehui Wang 1
H Wong 1
Subhasish Mitra 1
Xiaojun Ma 1
Jeremy Tolbert 1
Tadashi Kawazoe 1
Jiale Huang 1
Mukta Farooq 1
Charles Lieber 1
Igor Markov 1
Konrad Walus 1
Yu Cao 1
Adam Cabe 1
Yehia Massoud 1
Kushal Datta 1
Ajay Bhoj 1
Jorge Kina 1
Chunyao Wang 1
ChiOn Chui 1
Stanley Yeh 1
Paul Pop 1
Ingchao Lin 1
Natsuo Nakamura 1
Dan Venutolo 1
Marie Flottes 1
Junlin Chen 1
Mark Tehranipoor 1
Yier Jin 1
Amey Kulkarni 1
Ayse Coskun 1
Ruiyu Wang 1
Massimo Roch 1
Roger Lake 1
Zhaohao Wang 1
Hang Zhang 1
Keran Zhou 1
Gilles Sassatelli 1
William Cane-Wissing 1
Muhammad Ahsan 1
Loic Decloedt 1
Angsuman Sarkar 1
Milad Maleki 1
Tanay Karnik 1
Houle Gan 1
Srihari Cadambi 1
Curtis Madsen 1
Xuehui Zhang 1
Ashutosh Chakraborty 1
Rajiv Joshi 1
Winfried Wilcke 1
Zhe Wan 1
Deepa P 1
Sharad Malik 1
Kenneth O'Neal 1
Travis Humble 1
Haera Chung 1
Christopher Curtis 1
Yuchun Ma 1
Kae Nemoto 1
Simeranjit Brar 1
Steven Rubin 1
Gilda Garretón 1
Sujay Deb 1
Deukhyoun Heo 1
Ketan Patel 1
Gabriel Schulhof 1
Wei Zhao 1
Nabanita Majumdar 1
Nadine Gergel-Hackett 1
Yuxing Yao 1
Laura Conde-Canencia 1
Arnab Raha 1
Wei Lu 1
Masud Chowdhury 1
Alexander Gotmanov 1
Fei Xia 1
Xuefu Zhang 1
Gabriela Nicolescu 1
Junchen Liu 1
Yuliang Jin 1
Karthik Shankar 1
Taşkın Koçak 1
Saraju Mohanty 1
Lyn Venken 1
Francesco Abate 1
Alejandro Schrott 1
Steven Watts 1
Mohamad Krounbi 1
Xiaoxia Wu 1
Anish Muttreja 1
Shriram Raghunathan 1
Sheyshi Lu 1
Cullen Bash 1
Chandrakant Patel 1
Susmit Biswas 1
Heba Saadeldeen 1
Ricardo Bianchini 1
Raymond Beausoleil 1
Xi Chen 1
Weikang Qian 1
Sai Chittamuru 1
Srinivas Desai 1
Sudeep Pasricha 1
Gaurav Rathi 1
Yang Liu 1
Yousuke Takada 1
Shihhsien Kuo 1
Q Shi 1
Siva Narendra 1
Xiang Wei 1
Gianluca Piccinini 1
Dafine Ravelosona 1
Abdullah Guler 1
Chao Chen 1
Wei Jiang 1
Haoran Li 1
Zoha Pajouhi 1
Guangjun Wen 1
Prachi Joshi 1
Yungchih Chen 1
Dong Xiang 1
Jifeng Chen 1
Renu Kumawat 1
Jiunli Lin 1
Bernard Girau 1
Laurent Rodriguez 1
Zhongqi Li 1
Hrishikesh Jayakumar 1
Woosuk Lee 1
Aldo Romani 1
Nahid Hossain 1
Chinghwa Cheng 1
Victor Nicola 1
Avinash Kodi 1
Bryan Jackson 1
Charles Augustine 1
Hai Li 1
Huaiyuan Tseng 1
Yujie Huang 1
Yaohong Wang 1
Krishna Kant 1
Tahir Cader 1
Giacomo Ghidini 1
Andrew Rawson 1
William Gustafson 1
Aleksandr Biberman 1
Alan Mickelson 1
Qianfan Xu 1
Kourosh Marjoei 1
Akriti Bagaria 1
David Lilja 1
Marc Riedel 1
Sébastien Beux 1
Ian O'Connor 1
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Eva Rotenberg 1
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Ryangary Kim 1
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Pinghung Yuh 1
Joël Rossier 1
Anderson Sartor 1
Ajay Singhvi 1
Kaitak Lam 1
Jing Guo 1
Sophiane Senni 1
Moonseok Kim 1
Davide Bertozzi 1
Christophe Layer 1
Mircea Vlăduţiu 1
Lukáš Sekanina 1
Nobuaki Miyakawa 1
Z Wang 1
Huaixiu Zheng 1
Chris Kim 1
Bruno Rouzeyre 1
Domenic Forte 1
Sina Shahbazmohamadi 1
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Sanjukta Bhanja 1
K Habib 1
Alain Pegatoquet 1
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Fang Liu 1
Rafael Maeda 1
Yan Fang 1
Fernanda Kastensmidt 1
Jian Zhang 1
Abdoulaye Gamatié 1
Mathias Soeken 1
D Miller 1
Bernard Diény 1
Chandan Sarkar 1
Niraj Jha 1
Alaeddin Aydiner 1
Chenyuan Zhao 1
Chidhambaranathan R 1
Chirag Garg 1
Arnab Roy 1
Chris Winstead 1
Ernst Oberortner 1
Tara Deans 1
Fatima Hadjam 1
Hanwu Chen 1
Joseph Horton 1
Andrew Ferraiuolo 1
Hanieh Mirzaei 1
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Robert Karam 1
Colin Shea 1
Kyuyeon Hwang 1
Arvind Kumar 1
Anusha Gorantla 1
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Wei Chan 1
Ying Wang 1
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Debasri Saha 1
Bo Yuan 1
Bin Li 1
Mehdi Kamal 1
Karsten Beckmann 1
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Jamil Wakil 1
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Yue Wu 1
Daniel Davids 1
Aditya Prasad 1
Mariam Momenzadeh 1
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Jun Zeng 1
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S Wong 1
Jiale Liang 1
Elena Maftei 1
Kele Shen 1
Sarmishtha Ghoshal 1
Jing Xie 1
Nikil Dutt 1
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Pooria Yaghini 1
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Marco Tartagni 1
Dongjae Shin 1
Minkyu Maeng 1
Luis Plana 1
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Eustace Painkras 1
Marc Jaekel 1
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Jin Sun 1
Vandi Alves 1
Jamie Collier 1
Clemens Moser 1
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Bulent Kurdi 1
Geoffrey Burr 1
Sri Choday 1
Yiran Chen 1
Jun Yang 1
Alexey Khvalkovskiy 1
Tsungching Huang 1
Aditya Bansal 1
Paul Falkenstern 1
Mohamad Sawan 1
Dang Nguyen 1
Zhenyu Sun 1
Amip Shah 1
Radu Marculescu 1
Sajal Das 1
Keren Bergman 1
Michal Lipson 1
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Anuj Arora 1
M Najafi 1
Honglan Jiang 1
Holger Axelsen 1
Greg Snider 1
Trung Nguyen 1
Mary Eshaghian-Wilner 1
Lucian Prodan 1
Mihai Udrescu 1
Jacob White 1
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Steven Reinhardt 1
Cesare Ferri 1
Sherief Reda 1
Jonathan Salkind 1
Qiaoyan Yu 1
Gerardo Pelosi 1
Jean Dutertre 1
Yu Bi 1
Jiannshiun Yuan 1
Ramprasad Ravichandran 1
Olivier Sentieys 1
Mehmet Ozdas 1
Edith Beigné 1
Wei Chen 1
Liang Wen 1
Xiong Pan 1
Luan Duong 1
Zhifei Wang 1
Luigi Carro 1
Antônio Beck 1
Ney Calazans 1
Sumeet Gupta 1
Yihang Chen 1
Anja Von Beuningen 1
Luca Ramini 1
Kotb Jabeur 1
Virgile Javerliac 1
Stephane Gros 1
Pierre Paoli 1
Chengwen Wu 1
Keqin Li 1
Kiyoung Choi 1
William Fornaciari 1
Vivek De 1
El Hasaneen 1
Nicholas Roehner 1
Goksel Misirli 1
Rudolf Füchslin 1
Herbert Sauro 1
Biplab Sikdar 1
Mark Hagan 1
Hao Yu 1
Mohammed Alawad 1
Wei Chen 1
Kihyun Park 1
Jing Ye 1
Krishnendu Guha 1
Nishad Nerurkar 1
Sandro Bartolini 1
Jie Chen 1
Christine Nardini 1
Pratik Kabali 1
Weichen Liu 1
Yao Xu 1
Yang Liu 1
Narayanan Komerath 1
Ransford Hyman 1
Vasilis Pavlidis 1
Mostafa Azghadi 1
Fiona Teshome 1
Gabriel Loh 1
Lloyd Harriott 1
Arthur Nieuwoudt 1
Sezer Gören 1
Jia Lee 1
Behnam Ghavami 1
Luke Pierce 1
Manoj Gaur 1
Ozan Ozbag 1
Juha Plosila 1
Hannu Tenhunen 1
Oluleye Olorode 1
Nilanjan Goswami 1
Michele Dini 1
Woomin Hwang 1
Marco Vacca 1
Jeffrey Pepper 1
Philippe Matherat 1
Ian O'Connor 1
M Amadou 1
John Jr 1
Haldun Kufluoglu 1
Pier Martelli 1
Giuseppe Profiti 1
Andrea Acquaviva 1
Arijit Raychowdhury 1
Alvaro Padilla 1
Simone Raoux 1
Sayeef Salahuddin 1
Satish Kumar 1
Xueti Tang 1
Xiao Luo 1
Wen Ko 1
Pedro Irazoqui 1
Paul Fletter 1
Muhammad Salam 1
Steve Majerus 1
Michael Suster 1
Tao Wang 1
Hsinhung Liao 1
Xiang Chen 1
Prithviraj Banerjee 1
Alan Savage 1
Siddharth Garg 1
Diana Marculescu 1
Andrès Márquez 1
Jacob Levy 1
Rekha Govindaraj 1
Sukeshwar Kannan 1
Michael Thomsen 1
Kamalika Datta 1
Pragyan Mohanty 1
Umamaheswara Tida 1
Yiyu Shi 1
Chunyi Lee 1
Shiva Navab 1
Kang Wang 1
Albert Lin 1
Trevor Mudge 1
Nathan Binkert 1
Glenn Reinman 1
Shigeto Nakayama 1
David Wolpert 1
Paul Ampadu 1
Stephan De Castro 1
Elena Vatajelu 1
Anirudh Iyengar 1
Kaveh Shamsi 1
Xunzhao Yin 1
Jayita Das 1
Azzurra Pulimeno 1
Gefei Wang 1
Youguang Zhang 1
Meghna Mankalale 1
Lei Wang 1
Zhiguang Chen 1
José Abellán 1
A Goud 1
Victor Yashin 1
Donald Chiarulli 1
Liang Rong 1
Arthur Lorenzon 1
Ernesto Sánchez 1
Kartik Mohanram 1
Runlai Wan 1
Xun Gao 1
Hoda Khouzani 1
Fabrice Bernard-Granger 1
Gregory Pendina 1
V Devanathan 1
Haiyao Huang 1
Claudio Moraga 1
Marek Perkowski, 1

Affiliation Paper Counts
Universite Pierre et Marie Curie 1
Universidad Catolica de Murcia 1
Feng Chia University 1
Southeast University China, Nanjing 1
City University of New York 1
Yangzhou University 1
University of Kansas 1
Centre Hospitalier de L'Universite de Montreal 1
Minia University 1
The University of British Columbia 1
Samsung Group 1
State University of New York at New Paltz 1
Ohio University Athens 1
Nanzan University 1
Air Force Research Laboratory Information Directorate 1
University of Texas at Austin 1
INRIA Institut National de Rechereche en Informatique et en Automatique 1
Brno University of Technology 1
Indian Institute of Science, Bangalore 1
University of Waterloo 1
University of Maryland, Baltimore 1
Peking University 1
Florida International University 1
Defence Research and Development Organisation India 1
Japan Science and Technology Agency 1
Zurich University of Applied Sciences Winterthur 1
Yeditepe University 1
National University of Singapore 1
University of Houston-Clear Lake 1
Harbin Institute of Technology 1
Chang Gung University 1
University of Twente 1
Chongqing University 1
University of North Texas 1
University of California, Berkeley 1
Shanghai Jiaotong University 1
Azusa Pacific University 1
Valparaiso University 1
Broadcom Corporation 1
University of Oxford 1
Federal University of Piaui 1
Cadence Design Systems 1
Research Organization of Information and Systems National Institute of Informatics 1
Wuhan University 1
Chung Yuan Christian University 1
Rutgers, The State University of New Jersey 1
Hiroshima University 1
University of Copenhagen 1
University of California System 1
NEC Corporation 1
Utah State University 1
Universite Nice Sophia Antipolis 1
Texas Instruments (India) Ltd 1
National Taiwan University Hospital 1, Inc. 1
Ozyegin University 1
ORT Braude - College of Engineering 1
ARM Ltd. 1
Kalyani Government Engineering College 1
MCKV Institute of Engineering 1
NYU Tandon School of Engineering 1
Amity University, Kolkata 1
University of Victoria 1
University of Calgary 2
University of Siena 2
Harbin Engineering University 2
Google Inc. 2
University of Turku 2
University of Missouri-Kansas City 2
Commissariat a L'Energie Atomique CEA 2
Colorado State University 2
Harvard University 2
Qualcomm Incorporated 2
Federal University of Uberlandia 2
University of Southern California, Information Sciences Institute 2
Kirtland Air Force Base 2
Pontifical Catholic University of Rio Grande do Sul 2
Shahed University 2
Louis Stokes Cleveland VA Medical Center 2
Advanced Micro Devices, Inc. 2
University of Science and Technology of China 2
Hewlett-Packard Inc. 2
University of Bristol 2
Jadavpur University 2
Bahcesehir University 2
Johannes Kepler University Linz 2
STMicroelectronics 2
Southern Illinois University 2
University of Ferrara 2
Missouri University of Science and Technology 2
Daneshgahe Esfahan 2
Stony Brook University 2
Virginia Tech 2
University of Seoul 2
Oracle Corporation 2
California Institute of Technology 2
Hefei National Laboratory for Physical Sciences at Microscale 2
Universite de Lyon 2
Toshiba America Research, Inc 2
European Centre for Soft Computing 2
Universite de Lorrain 2
Indian Institute of Technology 2
George Washington University 3
Indian Institute of Technology, Kharagpur 3
Delft University of Technology 3
Louisiana State University 3
Technical University of Denmark 3
National Chiao Tung University Taiwan 3
Beihang University 3
University of Washington, Seattle 3
University of Tennessee, Knoxville 3
University of York 3
University of New Brunswick 3
Malaviya National Institute of Technology 3
NEC Laboratories America, Inc. 3
Air Force Research Laboratory 3
University of Tehran 3
University of Delaware 3
University of Calcutta 3
Catholic University of Leuven, Leuven 3
Carnegie Mellon University 3
Institut des Nanotechnologies de Lyon 3
Indian Institute of Engineering Science and Technology, Shibpur, Howrah, India 4
Polytechnic University of Timisoara 4
Tyndall National Institute at National University of Ireland, Cork 4
Royal Institute of Technology 4
University of Texas at Arlington 4
Universite de Bretagne-Sud 4
University of Arizona 4
State University of New York at Albany 4
Yonsei University 4
George Mason University 4
Polytechnic School of Montreal 4
Technical University of Munich 4
Shanghai University 4
Portland State University 4
Oak Ridge National Laboratory 4
University of Tokyo 4
University of Rochester 4
Columbia University 4
Universite de Rennes 1 4
University of California, San Diego 4
Federal University of Pernambuco 4
Ghent University 4
Karlsruhe Institute of Technology 4
Rice University 5
University of Minnesota System 5
Federal University of Rio Grande do Sul 5
Universitat Politecnica de Catalunya 5
University of Texas at Dallas 5
University of Catania 5
Seoul National University 5
University of Naples Federico II 5
National Tsing Hua University 5
Chinese Academy of Sciences 5
Texas A and M University 5
Massachusetts Institute of Technology 5
Pacific Northwest National Laboratory 5
Indian Statistical Institute, Kolkata 5
University of Alberta 5
Japan National Institute of Information and Communications Technology 5
National Institute of Technology, Durgapur 5
Case Western Reserve University 6
University of Texas at San Antonio 6
University of California, Irvine 6
University of California, Davis 6
National Cheng Kung University 6
New York University 6
University of Virginia 6
Politecnico di Milano 6
Universite Paris-Sud XI 6
University of Utah 6
University of Southern California 6
University of Electronic Science and Technology of China 7
Newcastle University, United Kingdom 7
Drexel University 7
Southern Illinois University at Carbondale 7
University of California, Riverside 7
SPINTEC - Spin in Electronics Research 7
University of Manchester 8
Arizona State University 8
Nanyang Technological University 8
University of Maryland, Baltimore County 8
Keio University 8
Korea Advanced Institute of Science & Technology 8
The Institute of Fundamental Electronics, Orsay 8
HP Labs 9
Brown University 9
Indian Institute of Technology, Madras 9
Swiss Federal Institute of Technology, Zurich 9
Indian Institute of Technology, Delhi 9
National Taiwan University 10
Cornell University 10
Laboratoire d'Informatique, de Robotique et de Microelectronique de Montpellier LIRMM 10
IBM Almaden Research Center 10
University of Florida 10
Texas Instruments 10
Tsinghua University 10
University of California, Los Angeles 10
Rochester Institute of Technology 11
Bremen University 11
University of Massachusetts Amherst 11
University of Central Florida 11
University Michigan Ann Arbor 11
University of Bologna 11
University of Minnesota Twin Cities 11
University of Colorado at Boulder 12
The University of North Carolina at Charlotte 12
Boston University 12
National University of Defense Technology China 12
University of Pittsburgh 13
IBM Thomas J. Watson Research Center 13
Stanford University 14
University of South Florida Tampa 15
Georgia Institute of Technology 15
Swiss Federal Institute of Technology, Lausanne 16
University of California, Santa Barbara 16
Northeastern University 17
Amirkabir University of Technology 19
Washington State University 20
Intel Corporation 21
Polytechnic Institute of Turin 23
University of Notre Dame 23
Pennsylvania State University 25
Hong Kong University of Science and Technology 27
University of Connecticut 30
Duke University 34
Purdue University 38
Princeton University 53

ACM Journal on Emerging Technologies in Computing Systems (JETC)

Volume 14 Issue 1, January 2018  Issue-in-Progress

Volume 13 Issue 4, August 2017
Volume 13 Issue 3, May 2017 Special Issue on Hardware and Algorithms for Learning On-a-chip and Special Issue on Alternative Computing Systems
Volume 13 Issue 2, March 2017 Special Issue on Nanoelectronic Circuit and System Design Methods for the Mobile Computing Era and Regular Papers

Volume 13 Issue 1, December 2016 Special Issue on Secure and Trustworthy Computing
Volume 12 Issue 4, July 2016 Regular Papers

Volume 12 Issue 3, September 2015 Special Issue on Cross-Layer System Design and Regular Papers
Volume 12 Issue 2, August 2015 Special Issue on Advances in Design of Ultra-Low Power Circuits and Systems in Emerging Technologies
Volume 12 Issue 1, July 2015
Volume 11 Issue 4, April 2015 Special Issues on Neuromorphic Computing and Emerging Many-Core Systems for Exascale Computing

Volume 11 Issue 3, December 2014 Special Issue on Computational Synthetic Biology and Regular Papers
Volume 11 Issue 2, November 2014 Special Issue on Reversible Computation and Regular Papers
Volume 11 Issue 1, September 2014
Volume 10 Issue 4, May 2014
Volume 10 Issue 3, April 2014
Volume 10 Issue 2, February 2014
Volume 10 Issue 1, January 2014 Special Issue on Reliability and Device Degradation in Emerging Technologies and Special Issue on WoSAR 2011

Volume 9 Issue 4, November 2013 Special Issue on Bioinformatics
Volume 9 Issue 3, September 2013
Volume 9 Issue 2, May 2013 Special issue on memory technologies
Volume 9 Issue 1, February 2013

Volume 8 Issue 4, October 2012
Volume 8 Issue 3, August 2012
Volume 8 Issue 2, June 2012 Special Issue on Implantable Electronics
Volume 8 Issue 1, February 2012

Volume 7 Issue 4, December 2011
Volume 7 Issue 3, August 2011
Volume 7 Issue 2, June 2011
Volume 7 Issue 1, January 2011

Volume 6 Issue 4, December 2010
Volume 6 Issue 3, August 2010
Volume 6 Issue 2, June 2010
Volume 6 Issue 1, March 2010

Volume 5 Issue 4, November 2009
Volume 5 Issue 3, August 2009
Volume 5 Issue 2, July 2009
Volume 5 Issue 1, January 2009

Volume 4 Issue 4, October 2008
Volume 4 Issue 3, August 2008
Volume 4 Issue 2, April 2008
Volume 4 Issue 1, March 2008
Volume 3 Issue 4, January 2008

Volume 3 Issue 3, November 2007
Volume 3 Issue 2, July 2007
Volume 3 Issue 1, April 2007

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

Volume 1 Issue 3, October 2005
Volume 1 Issue 2, July 2005
Volume 1 Issue 1, April 2005
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