ACM DL

ACM Journal on

Emerging Technologies in Computing (JETC)

Menu
Latest Articles
NEWS

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. 

read more

Guest Editors' Introduction: Frontiers of Hardware and Algorithms for On-chip Learning

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.

IMFlexCom: Energy Efficient In-memory Flexible Computing using Dual-mode SOT-MRAM

In this paper, we propose an In-Memory Flexible Computing platform (IMFlexCom) using a novel Spin Orbit Torque Magnetic Random Access Memory (SOT-MRAM) array architecture, which could work in dual mode: memory mode- to work as non-volatile memory and computing mode- to implement re-configurable logic (AND/OR/XOR) within the memory array. Such intrinsic in-memory logic could be used to process data within memory to greatly reduce power-hungry and long distance massive data communication in conventional Von-Neumann computing systems. We further employ bulk bitwise vector operation and data encryption engine with Advanced Encryption Standard (AES) as case studies to investigate the performance of our proposed in-memory computing architecture. Our design shows < 35× energy saving and < 18× speedup for bulk bitwise in-memory vector AND/OR operation compared to DRAM based in-memory logic. Again, our proposed design can achieve 77.27% and 85.4% lower energy consumption compared to CMOS-ASIC and CMOL based AES implementations, respectively. It offers almost similar energy consumption as recent DW-AES implementation with 66.7% less area overhead.

Hardware Trojan Detection Using the Order of Path Delay

Many fabrication-less design houses are outsourcing their designs to third party foundries for fabrication to lower cost. This IC development process, however, raises serious security concerns on Hardware Trojans (HTs). In this paper, for the first time, we propose a two-phase technique, which uses the order of the path delay in path pairs to detect HTs. In the design phase, a full-cover path set that covers all the nets of the design is generated; meanwhile in the set, the relative order of paths in path pairs is determined according to their delay. The order of the paths in path pairs serves as the fingerprint of the design. In the test phase, the actual delay of the paths in the full-cover set is extracted from the fabricated circuits, and the order of paths in path pairs is compared with the fingerprint generated in the design phase. A mismatch between them indicates the existence of Trojans circuits. Both process variations and measurement noise are taken into consideration. The efficiency and accuracy of the proposed technique are confirmed by a series of experiments including the examination of both violated path pairs incurred by HTs and their false alarm rate.

Framework for Quantifying and Managing Accuracy in Stochastic Circuit Design

Stochastic circuits (SCs) offer tremendous area- and power-consumption benefits at the expense of computational inaccuracies. Unlike conventional logic synthesis, managing accuracy is a central problem in SC design. It is usually tackled in ad hoc fashion by multiple trial-and-error simulations that vary relevant parameters like the stochastic number length n. We present, for the first time, a systematic design approach to controlling the accuracy of SCs and balancing it against other design parameters. We express the (in)accuracy of a circuit processing n-bit stochastic numbers by the numerical deviation of the computed value from the expected result, in conjunction with a confidence level. Using the theory of Monte Carlo simulation, we derive expressions for the stochastic number length required for a desired level of accuracy, or vice versa. We discuss the integration of the theory into a design framework that is applicable to both combinational and sequential SCs. We show that for combinational SCs, accuracy is independent of the circuit's size or complexity, a surprising result. We also show how the analysis can identify subtle errors in both combinational and sequential designs. Finally, we apply the proposed methods to a case study on filtering noisy EKG signals.

Kogge-Stone Adder Realization using 1S1R Resistive Switching Crossbar Arrays

Low operating voltage, high storage density, non-volatile storage capabilities and relative low access latencies have popularized memristive devices as storage devices. Memristors can be ideally used for in-memory computing in the form of hybrid CMOS nano-crossbar arrays. In-memory serial adders have been theoretically and experimentally proven for crossbar arrays. To harness the parallelism of memristive arrays, parallel-prefix adders can be effective. In this work, a novel mapping scheme for in-memory Kogge-Stone adder has been presented. The number of cycles increases logarithmically with the bit width N of the operands i.e. O(log2N) and the device count is 5N. We verify the correctness of the proposed scheme by means of TaOx device model based memristive simulations. We compare the proposed scheme with other proposed schemes in terms of number of cycle and number of devices.

Semi-Trained Memristive Crossbar Computing Engine with In-Situ Learning Accelerator

On-device learning has gained a significant attention recently as it offers local data processing which ensures user privacy and low power consumption especially on mobile devices and energy constrained platforms. This paper proposes on-device training circuitry for threshold-current memristors integrated in crossbar structure. Furthermore, this paper investigates alternate approaches of mapping the synaptic weights to memristive crossbar, thereby realizing a simplified neuromemristive system. The proposed design is studied within the context of extreme learning machine (ELM) while using delta rule learning algorithm to train the output layer. The network is implemented using IBM 65nm technology node and verified in Cadence Spectre environment. The hardware model is verified for classification with binary and multi-class datasets. The total power for a single 4x4 layer network is estimated to be ~29.62uW, while the area is estimated to be 26.48um x 22.35um.

Editorial: Silicon Photonics for Computing Systems

Design Space Exploration of 3D Network-on-Chip: A Sensitivity-based Optimization Approach

High-performance and energy-efficient Network-on-Chip (NoC) architecture is one of the crucial components of the manycore processing platforms. A very promising NoC architecture recently proposed in the literature is the three-dimensional small-world NoC (3D SWNoC). Due to short vertical links in 3D integration and the robustness of small-world networks, the 3D SWNoC architecture outperforms its other 3D counterparts. However, the performance of 3D SWNoC is highly dependent on the placement of the links and associated routers. In this paper, we propose a sensitivity-based link placement algorithm (SEN) to optimize the performance of 3D SWNoC.We compare the performance of SEN algorithm with simulated annealing- (SA) and recently proposed machine learning-based (ML) optimization algorithm. The optimized 3D SWNoC obtained by the proposed SEN algorithm achieves, on average, 11.5% and 13.6% lower latency and 18.4% and 21.7% lower energy-delay product than those optimized by the SA and ML algorithms respectively. In addition, the SEN algorithm is 26 to 33 times faster than the SA algorithm for the optimization of 64-, 128-, and 256-core 3D SWNoC designs.However, we find that ML-based methodology has faster convergence time than SEN and SA for bigger systems.

Sparse hardware embedding of spiking neuron systems for community detection

Adapting deep neural networks and deep learning algorithms for neuromorphic hardware has been well established for discriminative and generative models. We study the applicability of neural networks and neuromorphic hardware for solving general optimization problems without the use of adaptive training or learning algorithms. We leverage the dynamics of Hopfield networks and spin glass systems to construct a fully connected spiking neural system to generate synchronous spike responses indicative of the underlying community structure in an undirected, unweighted graph. Mapping this fully connected system to current neuromorphic hardware is done by embedding sparse tree graphs to generate only the leading order spiking dynamics. We demonstrate that for a chosen set of benchmark graphs, non-overlapping communities can be identified, even with the loss of higher order spiking behavior.

Reliability Hardening Mechanisms in Cyber-Physical Digital-Microfluidic Biochips

In the area of biomedical engineering, digital-microfluidic biochips (DMFBs) have received considerable attention because of their capability of providing an efficient and reliable platform for conducting point-of-care clinical diagnostics. System reliability, in turn, mandates error-recoverability while implementing biochemical assays on-chip for medical applications. Unfortunately, the technology of DMFBs is not yet fully equipped to handle error-recovery from various microfluidic operations involving droplet motion and reaction. Recently, a number of cyber-physical systems have been proposed to provide real-time checking and error-recovery in assays based on the feedback received from a few on-chip checkpoints. However, in order to synthesize robust feedback systems for different types of DMFBs, certain practical issues need to be considered such as co-optimization of checkpoint placement, error-recoverability, and layout of droplet-routing pathways. For application-specific DMFBs, we propose here an algorithm that minimizes the number of checkpoints and determines their locations to cover every path in a given droplet-routing solution. Next, for general-purpose DMFBs, where the checkpoints are pre-deployed in specific locations, we present a checkpoint-aware routing algorithm such that every droplet-routing path passes through at least one checkpoint to enable error-recovery and to ensure physical routability of all droplets.

Limit of Hardware Solutions for Self-Protecting Fault-Tolerant NoCs

We study the ultimate limits of hardware solutions for the self-protection strategies against permanent faults in networks on chips (NoCs). NoCs reliability is improved by replacing each base router by an augmented router which includes extra protection circuitry. We compare the protection achieved by the self-test and self-protect (STAP) architectures to that of triple modular redundancy with voting (TMR). In practice, none of the considered architectures (STAP or TMR) can tolerate all the permanent faults, especially faults in the extra-circuitry for protection or voting, and consequently, there will always be some unidentified defective augmented routers which are going to transmit errors in an unpredictable manner. Specifically, we study and determine the average percentage of unidentified defective routers (UDRs) and their impact on the overall reliability of the NoC in light of self-protection strategies. Our study shows that TMR is the most efficient solution to limit the average percentage of UDRs when there are typically less than a 0.1 percent of defective base routers. Above 1% of defective base routers, the STAP approaches are more efficient although the protection efficiency decreases inexorably in the very defective technologies (e.g. when there is 10% or more of defective base routers).

A Process Variation Tolerant Method for Nanophotonic On-chip Network

Nanophotonic networks have been challenged for their reliability due to several device-level limitations. One of the main issues is that fabrication errors can cause devices to malfunction, rendering communication unreliable. For example, microring resonator, a preferred optical modulator device, may not resonate at the designated wavelength under process variations (PV), leading to communication errors and bandwidth loss. This paper proposes a series of solutions to the wavelength drifting problem of microrings due to PV. The objective is to maximize network bandwidth through proper arrangement among microrings and wavelengths with minimum power requirement. Our arrangement, called ``MinTrim", solves this problem using simple integer linear programming, adding supplementary microrings and allowing flexible assignment of wavelengths to network nodes as long as the resulting network presents maximal bandwidth. Each step is shown to improve bandwidth provisioning with lower power requirement. Evaluations on a sample network show that a baseline network could lose more than 40% bandwidth due to PV. Such loss can be recovered by MinTrim to produce a network with 98.4% working bandwidth. In addition, the power required in arranging microrings is 39% lower than the baseline. Therefore, MinTrim provides an efficient PV-tolerant solution to improving the reliability of on-chip photonics.

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.

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.

SHARP: Shared Heterogeneous Architecture with Reconfigurable Photonic Network-on-Chip

As the relentless quest for higher throughput and lower energy cost continues in heterogenous multicores, there is a strong demand for energy-efficient and high-performance Network-on-Chip (NoC) architectures. Photonic interconnects are a disruptive technology solution that has the potential to increase the bandwidth, reduce latency, and improve energy-efficiency over traditional metallic interconnects. In this paper, we propose a CPU-GPU heterogeneous architecture called SHARP (Shared Heterogeneous Architecture with Reconfigurable Photonic Network-on-Chip) that clusters CPU and GPU cores around the same router and dynamically allocates bandwidth between the CPU and GPU cores based on application demands. The SHARP architecture is designed as a Single-Writer Multiple-Reader (SWMR) crossbar with reservation-assist to connect CPU/GPU cores that dynamically reallocates bandwidth using buffer utilization information at runtime. As network traffic exhibits temporal and spatial fluctuations due to application behavior, SHARP can dynamically reallocate bandwidth and thereby adapt to application demands. SHARP demonstrates 34% performance (throughput) improvement over a baseline electrical CMESH while consuming 25% less energy per bit. Simulation results have also shown 6.9% to 14.9% performance improvement over other flavors of the proposed SHARP architecture without dynamic bandwidth allocation.

Bibliometrics

Publication Years 2005-2018
Publication Count 373
Citation Count 968
Available for Download 373
Downloads (6 weeks) 1686
Downloads (12 Months) 17332
Downloads (cumulative) 160571
Average downloads per article 430
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)
Rob A Rutenbar ACM Fellows (2008)
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
Fabrizio Lombardi 6
Li Shang 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
Bhargab Bhattacharya 4
Mehdi Sedighi 4
Alvin Lebeck 4
Lei Wang 4
Chris Dwyer 4
Mohammad Tehranipoor 4
Swaroop Ghosh 3
Michael Crocker 3
Mahdi Nikdast 3
Spyros Tragoudas 3
Mahboobeh Houshmand 3
Paul Wettin 3
Amlan Chakrabarti 3
Jordi Cortadella 3
Vijaykrishnan Narayanan 3
Sourindra Chaudhuri 3
Yaoyao Ye 3
Tao Xu 3
Jianwei Dai 3
Aoxiang Tang 3
Xuan Wang 3
Ferdinand Peper 3
Weisheng Zhao 3
Jacques Klein 3
Fei Su 3
Arun Ravindran 3
Maurizio Zamboni 3
Nagarajan Ranganathan 3
Keshab Parhi 3
Tinoosh Mohsenin 3
Eren Kursun 3
Robert Wille 3
Arindam Mukherjee 3
Xiaowen Wu 3
Kishor Trivedi 3
Rolf Drechsler 3
Anand Raghunathan 2
Behrooz Shirazi 2
Swarup Bhunia 2
Djaafar Chabi 2
Himanshu Thapliyal 2
Mehdi Saeedi 2
Sachin Sapatnekar 2
Giovanni De Micheli 2
Siddhartha Datta 2
Frederic Chong 2
Mrigank Sharad 2
Reza Rad 2
Mostafizur Rahman 2
Csaba Moritz 2
Chiachun Lin 2
Harika Manem 2
Jungsang Kim 2
Stefano Frache 2
Yaojun Zhang 2
Giorgio Natale 2
Lionel Torres 2
Santosh Khasanvis 2
Kolin Paul 2
Garrett Rose 2
Sudip Roy 2
Chris Myers 2
Douglas Densmore 2
Philip Brisk 2
Paolo Grani 2
Saibal Mukhopadhyay 2
Rivalino Matias 2
Damien Querlioz 2
Xuanyao Fong 2
Oliver Keszocze 2
Massoud Pedram 2
Bao Liu 2
Cheng Zhuo 2
Bryant Wysocki 2
Giovanni Micheli 2
Jacob Murray 2
Sparsh Mittal 2
John Savage 2
Byungsoo Choi 2
Mehrdad Nourani 2
Min Chen 2
Lei Wang 2
Sungkyu Lim 2
Jing Huang 2
Ashok Palaniswamy 2
Alexis De Vos 2
Suman Datta 2
Zhehui Wang 2
André DeHon 2
Tsungyi Ho 2
Veezhinathan Kamakoti 2
Muhammad Ahsan 2
Ruth Bahar 2
Bharat Joshi 2
Faquir Jain 2
Philippe Coussy 2
Shashikanth Bobba 2
Pallav Gupta 2
Marco Ottavi 2
Anil Wipat 2
Josep Carmona 2
Jaidev Patwardhan 2
Bipul Paul 2
Baris Taskin 2
Arighna Deb 2
Prateek Mishra 2
Xianmin Chen 2
Yongtae Kim 2
Mona Arabzadeh 2
Giovanni De Micheli 2
Luca Schiano 2
Ulf Schlichtmann 2
Torben Mogensen 2
Hafizur Rahaman 2
Peng Li 2
Deliang Fan 2
John Hayes 2
Eric Rachlin 2
Dhiraj Pradhan 2
Amlan Ganguly 2
Xueqing Li 2
Daniel Grissom 2
Sandro Bartolini 2
Debasis Mitra 2
Vijay Reddy 2
Sumeet Gupta 2
Rangharajan Venkatesan 2
Gerardo Pelosi 1
Jean Dutertre 1
Yu Bi 1
Jiannshiun Yuan 1
Ramprasad Ravichandran 1
Graham Jullien 1
Paul Falkenstern 1
Amip Shah 1
Radu Marculescu 1
Sajal Das 1
Michal Lipson 1
Keren Bergman 1
Hongyu Zhou 1
Chiahung Chien 1
Marco Tartagni 1
Dongjae Shin 1
Minkyu Maeng 1
Bo Yuan 1
Bin Li 1
Mehdi Kamal 1
Rita Casadio 1
Niraj Jha 1
Alaeddin Aydiner 1
Chenyuan Zhao 1
Chidhambaranathan R 1
Chirag Garg 1
Arnab Roy 1
Mary Eshaghian-Wilner 1
Lucian Prodan 1
Mihai Udrescu 1
Jonathan Salkind 1
Qiaoyan Yu 1
Olivier Sentieys 1
Mostafa Azghadi 1
Mehmet Ozdas 1
Edith Beigné 1
Mohamad Sawan 1
Dang Nguyen 1
Zhenyu Sun 1
Holger Axelsen 1
Greg Snider 1
Trung Nguyen 1
Nikil Dutt 1
Benoit Chappet De Vangel 1
César Torres-Huitzil 1
Cyrille Chavet 1
Pooria Yaghini 1
Nader Bagherzadeh 1
Sumeet Gupta 1
Yihang Chen 1
Anja Von Beuningen 1
Luca Ramini 1
Virgile Javerliac 1
Kotb Jabeur 1
Stephane Gros 1
Pierre Paoli 1
Chengwen Wu 1
Keqin Li 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
M Najafi 1
Honglan Jiang 1
Anuj Arora 1
Suyog Gupta 1
Robert Karam 1
Kyuyeon Hwang 1
Colin Shea 1
Arvind Kumar 1
Yavuz Yetim 1
Anusha Gorantla 1
Wei Chan 1
Andrew Kahng 1
Debasri Saha 1
Ying Wang 1
Yue Wu 1
Luis Plana 1
David Clark 1
Jim Garside 1
Eustace Painkras 1
Marc Jaekel 1
Evan Lent 1
Jamie Collier 1
Clemens Moser 1
Kele Shen 1
Rajeswari Devadoss 1
Andres Kwasinski 1
Shengqi Yang 1
Jamil Wakil 1
Robert Hannon 1
Ernst Oberortner 1
Jun Zeng 1
Mariam Momenzadeh 1
Chris Winstead 1
Tara Deans 1
Fatima Hadjam 1
Hanwu Chen 1
Joseph Horton 1
Jacob White 1
Gordon Wan 1
Carlotta Guiducci 1
Andrew Ferraiuolo 1
Hanieh Mirzaei 1
Jiale Liang 1
S Wong 1
Elena Maftei 1
Sarmishtha Ghoshal 1
Jing Xie 1
Daniel Davids 1
Aditya Prasad 1
Tsungching Huang 1
Aditya Bansal 1
Peng Li 1
Yukui Pei 1
Chunyi Lee 1
Pratik Kabali 1
Weichen Liu 1
John Jr 1
Haldun Kufluoglu 1
Arijit Raychowdhury 1
Alvaro Padilla 1
Simone Raoux 1
Sayeef Salahuddin 1
Satish Kumar 1
Xueti Tang 1
Xiao Luo 1
Nathan Binkert 1
Trevor Mudge 1
Glenn Reinman 1
Shigeto Nakayama 1
Stephan De Castro 1
Elena Vatajelu 1
Anirudh Iyengar 1
Kaveh Shamsi 1
Xunzhao Yin 1
Jayita Das 1
Lloyd Harriott 1
Diana Marculescu 1
Prithviraj Banerjee 1
Alan Savage 1
Siddharth Garg 1
Andrès Márquez 1
Jacob Levy 1
Michele Dini 1
Woomin Hwang 1
Giuseppe Profiti 1
Pier Martelli 1
Andrea Acquaviva 1
Kiyoung Choi 1
William Fornaciari 1
Vivek De 1
Shiva Navab 1
Kang Wang 1
David Wolpert 1
Paul Ampadu 1
Azzurra Pulimeno 1
Gefei Wang 1
Youguang Zhang 1
Wen Ko 1
Muhammad Salam 1
Pedro Irazoqui 1
Steve Majerus 1
Michael Suster 1
Paul Fletter 1
Hsinhung Liao 1
Tao Wang 1
Xiang Chen 1
Michael Thomsen 1
Kamalika Datta 1
Pragyan Mohanty 1
Umamaheswara Tida 1
Yiyu Shi 1
Ozan Ozbag 1
Juha Plosila 1
Hannu Tenhunen 1
Oluleye Olorode 1
Nilanjan Goswami 1
Xun Gao 1
Hoda Khouzani 1
Fabrice Bernard-Granger 1
Gregory Pendina 1
Meghna Mankalale 1
Lei Wang 1
Zhiguang Chen 1
Arthur Lorenzon 1
José Abellán 1
A Goud 1
Liang Rong 1
Victor Yashin 1
Donald Chiarulli 1
Ernesto Sánchez 1
Kartik Mohanram 1
Runlai Wan 1
Rekha Govindaraj 1
Sukeshwar Kannan 1
Hao Yu 1
Mohammed Alawad 1
Wei Chen 1
Kihyun Park 1
Krishnendu Guha 1
Jing Ye 1
Gabriel Loh 1
Marco Vacca 1
Jeffrey Pepper 1
Philippe Matherat 1
Ian O'Connor 1
M Amadou 1
Luke Pierce 1
Sezer Gören 1
Nishad Nerurkar 1
Jie Chen 1
Ransford Hyman 1
Yao Xu 1
Yang Liu 1
Vasilis Pavlidis 1
Narayanan Komerath 1
Fiona Teshome 1
Nicholas Roehner 1
Goksel Misirli 1
Rudolf Füchslin 1
Herbert Sauro 1
Biplab Sikdar 1
Albert Lin 1
El Hasaneen 1
Christine Nardini 1
Mark Hagan 1
Jia Lee 1
Behnam Ghavami 1
Manoj Gaur 1
Arthur Nieuwoudt 1
Houman Homayoun 1
Jeyavijayan Rajendran 1
Bohua Li 1
Andre Van Rynbach 1
Michael Henry 1
Roberto Pietrantuono 1
Jing Zhao 1
Yanbin Wang 1
Gautam Kapila 1
Rohit Shenoy 1
Bipin Rajendran 1
Subho Chatterjee 1
Alexander Driskill-Smith 1
Zahra Sasanian 1
Ali Saidi 1
Yuchun Ma 1
Yongxiang Liu 1
Eiri Hashimoto 1
Yutaka Sacho 1
Alessandro Barenghi 1
Shahed Quadir 1
John Chandy 1
Mario Barbareschi 1
PAOLO Prinetto 1
Jaewon Jang 1
Chengwei Lin 1
James Tour 1
Garrett Rose 1
Diana Franklin 1
Sandeep Gupta 1
Kyle Preston 1
Gilbert Hendry 1
Nicolas Sherwood-Droz 1
Vijay Raghunathan 1
Jue Wang 1
Miguel Lastras-Montaño 1
Melika Payvand 1
Kwangting Cheng 1
Matteo Filippi 1
Dongjin Kim 1
William Hwang 1
Yu Wang 1
Elisa Ficarra 1
V Devanathan 1
Rob Rutenbar 1
Shi Xu 1
Zhengbin Pang 1
André Stauffer 1
Tiansheng Zhang 1
Pierre Mudry 1
Gianluca Tempesti 1
Andy Chiu 1
Yue Zhang 1
Claude Chappert 1
Sungjun Yoon 1
Steven Garverick 1
Yaojoe Yang 1
Stéphane Burignat 1
Tetsuo Yokoyama 1
Alireza Shafaei 1
Misagh Khayambashi 1
Tao Li 1
Jack Sampson 1
Abbas Dehghani 1
Kamal Jamshidi 1
Jianyu Chen 1
Sylvain Claireux 1
Guangyan Zhang 1
Xuhao Chen 1
Ajay Joshi 1
Xia Zhang 1
Hassan Mohammadi 1
Matteo Reorda 1
Peng Li 1
Yong Shim 1
Eldhose Peter 1
Taemin Kim 1
Zichuan Liu 1
Sajid Anwar 1
Nong Xiao 1
Kerry Bernstein 1
Rajit Manohar 1
Fabien Clermidy 1
Wensi Wang 1
Terence O'Donnell 1
Spyros Tragoudas 1
Jaeyoon Kim 1
Peter Kogge 1
H Ugurdag 1
Meng Zhang 1
Howie Huang 1
Venkataraman Mahalingam 1
Ashok Srivastava 1
Clay Mayberry 1
Krishnendu Chakrabarty 1
Xiaoyu Song 1
Xuemei Chen 1
Haiyao Huang 1
Claudio Moraga 1
Marek Perkowski, 1
Md Rahman 1
Gerhard Dueck 1
Samik Some 1
Marya Lieberman 1
Jie Deng 1
Tzvetan Metodi 1
Andrew Cross 1
Olivier Thomas 1
Yu Cao 1
Kenichi Morita 1
H Wong 1
V Kamakoti 1
A Bhattacharya 1
Soumya Eachempati 1
Yuan Xie 1
Niraj Jha 1
Pohsun Wu 1
Benjamin Gojman 1
Chenpang Kung 1
Swaroop Ghosh 1
Wujie Wen 1
Xiaokun Yang 1
Ming Fan 1
Salvatore Monteleone 1
Mark Oskin 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
Krisztián Flautner 1
Takanori Maebashi 1
Luca Breveglieri 1
Qianying Tang 1
Youngok Pino 1
Matthew French 1
Kohei Itoh 1
Hengxing Tan 1
Minlun Chuang 1
Vlasia Anagnostopoulou 1
Georgios Varsamopoulos 1
Moustafa Mohamed 1
AmirAli Ghofrani 1
Luke Theogarajan 1
Kyuho Park 1
Hyunchul Seok 1
Chulmin Kim 1
Jun Pang 1
Thomas Lee 1
Shinobu Fujita 1
Christof Teuscher 1
Ali Afzali-Kusha 1
Davide Zoni 1
Andrew Kahng 1
Dennis Huo 1
Trongnhan Le 1
Arnaud Carer 1
Wang Kang 1
Penli Huang 1
Hai Li 1
Yiran Chen 1
Stijn De Baerdemacker 1
Bertrand Granado 1
Nasim Farahini 1
Ahmed Hemani 1
Ashkan Eghbal 1
Qian Wang 1
Juinndar Huang 1
Yuan Xue 1
Chengmo Yang 1
Guillaume Prenat 1
Debesh Das 1
Anand Raghunathan 1
Arnab Biswas 1
Zhe Wang 1
Yao Wang 1
Matheus Moreira 1
Peter Beerel 1
Cong Liu 1
Jie Han 1
Abhishek Koneru 1
Karthik Yogendra 1
Chamika Liyanagedera 1
Ruchir Puri 1
Leibin Ni 1
Simon Davidson 1
Margaret Martonosi 1
Jiajia Li 1
Alex Yakovlev 1
Steve Furber 1
Steve Temple 1
Nor Haron 1
Said Hamdioui 1
Sandip Tiwari 1
Weichen Liu 1
M Balakrishnan 1
Jie Zhang 1
Ashwani Sharma 1
Aravinda Kar 1
Jin He 1
Kevin Chang 1
Xinmin Yu 1
Zhen Zhang 1
Maik Hadorn 1
Rajat Chakraborty 1
Isaac Chuang 1
Perrine Batude 1
Pinaki Mazumder 1
Shengqi Yang 1
Wenping Wang 1
Wei Zhang 1
Michael Leuchtenburg 1
Pavan Panchapakeshan 1
Csaba Moritz 1
Jan Madsen 1
Vineet Sahula 1
Yang Du 1
Weiyu Tsai 1
Mesbah Uddin 1
Ye Yu 1
Jaydeep Kulkarni 1
Andrea Mineo 1
Davide Patti 1
Makoto Naruse 1
Naokatsu Yamamoto 1
Motoichi Ohtsu 1
Cathy Chancellor 1
Claude Cirba 1
Ahmed Louri 1
Rubens Matos 1
F De Souza 1
Matthew Breitwisch 1
Kailash Gopalakrishnan 1
Jason Cong 1
Niladri Mojumder 1
Adrian Ong 1
Eugene Chen 1
Shinjiro Toyoda 1
Guido Bertoni 1
Stefano Sanfilippo 1
Ruggero Susella 1
Yingjie Lao 1
Navid Asadizanjani 1
Kenneth Ramclam 1
Kevin Scott 1
Stefan Hillmich 1
William Munro 1
Chunyao Wang 1
Mircea Stan 1
Muthukumar Murugan 1
Zahra Abbasi 1
Sanjay Ranka 1
Phanisekhar Bv 1
Kevin Fox 1
Christopher Mundy 1
Johnnie Chan 1
Zheng Li 1
Siddharth Gaba 1
Seongmin Kim 1
Yaowen Chang 1
Fuwei Chen 1
Saeed Safari 1
Yang Zhao 1
Piero Fariselli 1
Jinho Lee 1
Kyungsu Kang 1
Naser MohammadZadeh 1
Weikai Shih 1
Nathan McDonald 1
Renfa Li 1
Jie Chen 1
Jie Meng 1
Giacomo Indiveri 1
Can Sitik 1
Emre Salman 1
Suzanne Lesecq 1
Robert Glück 1
Indranil Sengupta 1
Jeffrey Krichmar 1
Yong Zhang 1
Benoît Miramond 1
Yu Liu 1
Neel Gala 1
Sarada Krithivasan 1
MD Majumder 1
Mohammad Tavana 1
Seyedhamidreza Motaman 1
Kouichi Akahane 1
Daniel Sorin 1
Stefano Russo 1
Senthil Arasu 1
Fumio Machida 1
Jean Araujo 1
Paulo Maciel 1
Wujie Wen 1
Vladimir Nikitin 1
Daniel Lottis 1
Kiseok Moon 1
Taeho Kgil 1
Yong Zhan 1
Natsuo Nakamura 1
Marie Flottes 1
Junlin Chen 1
Mark Tehranipoor 1
Yier Jin 1
Amey Kulkarni 1
Sanjukta Bhanja 1
Jonathan Bean 1
Martin Arlitt 1
Tao Yang 1
David Du 1
Tridib Mukherjee 1
Hafiz Sheikh 1
Ishfaq Ahmad 1
Landon Sego 1
Manish Vachharajani 1
Mark Cianchetti 1
David Albonesi 1
Rodney Meter 1
Syyen Kuo 1
Chialin Yang 1
Huazhong Yang 1
Tingting Hwang 1
Kathleen Marchal 1
Laurent Becker 1
Hugues Wouafo 1
Syed Jafri 1
Lungyen Chen 1
Kalyan Biswas 1
Ke Jiang 1
Peng Yang 1
Haibo Wang 1
Stephan Wong 1
Brandon Jennings 1
Steven Levitan 1
Ramy Tadros 1
Joydeep Rakshit 1
Kia Bazargan 1
Leibo Liu 1
Janibul Bashir 1
Guoqing Chen 1
Xin Li 1
Cory Merkel 1
Manan Suri 1
Abhronil Sengupta 1
Wonyong Sung 1
Adam Page 1
Ali Jafari 1
Subramanian Iyer 1
Yakir Vizel 1
Mingzhu Deng 1
Youngsun Youn 1
Shindug Kim 1
Bing Li 1
Yin Liu 1
Bryan Black 1
Basit Sheikh 1
Michael Kishinevsky 1
Delong Shang 1
Jeff Siebert 1
Jianjia Chen 1
Lothar Thiele 1
Ningning Wang 1
Brendan O'Flynn 1
Cian O'Mathuna 1
Michael Gladshtein 1
Timothy Dysart 1
Vineeth Vijayakumaran 1
Manoj Yuvaraj 1
Hu Xu 1
Natalio Krasnogor 1
Bruce Tidor 1
Yifang Liu 1
Jos Vanderleyden 1
Damiano Piovesan 1
Enrico Macii 1
Yang Yi 1
Shankar Balachandran 1
Daniel Mange 1
Oana Boncalo 1
Dan Venutolo 1
Ayse Coskun 1
Ruiyu Wang 1
Massimo Roch 1
Roger Lake 1
Zhaohao Wang 1
Margot Damaser 1
William Cane-Wissing 1
Loic Decloedt 1
Angsuman Sarkar 1
Hang Zhang 1
Keran Zhou 1
Gilles Sassatelli 1
Hui Li 1
Martha Sepúlveda 1
Smruti Sarangi 1
Mrityunjay Ghosh 1
Yu Cao 1
Dhireesha Kudithipudi 1
Pareesa Golnari 1
Mingjie Lin 1
Armin Alaghi 1
Songping Yu 1
Fang Liu 1
Yu Hu 1
Xiaowei Li 1
Marc Galceran-Oms 1
John Bainbridge 1
Aaron Dingler 1
Justin Wenck 1
Rajeevan Amirtharajah 1
Mike Hayes 1
Weiguo Tang 1
Okan Palaz 1
Matthias Beste 1
Minhao Zhu 1
Suman Sah 1
Benjamin Belzer 1
Erik Lindgren 1
Pritish Narayanan 1
Muzaffer Simsir 1
Amlan Gangul 1
Jude Rivers 1
Douglas Tougaw 1
Jing Li 1
Nathaniel Cady 1
Mohammad Hajkazemi 1
Sukanta Bhattacharjee 1
Vincenzo Catania 1
Maurizio Palesi 1
Yang Liu 1
Jeremy Tolbert 1
Tadashi Kawazoe 1
Yuliang Jin 1
Karthik Shankar 1
Alejandro Schrott 1
Mohamad Krounbi 1
Steven Watts 1
Ajay Bhoj 1
Siva Narendra 1
Xiaojun Ma 1
Yu Cao 1
Adam Cabe 1
Konrad Walus 1
Xiaoxia Wu 1
Anish Muttreja 1
Chandrakant Patel 1
Cullen Bash 1
Susmit Biswas 1
Heba Saadeldeen 1
Ricardo Bianchini 1
Raymond Beausoleil 1
Xi Chen 1
Arnab Raha 1
Wei Lu 1
Masud Chowdhury 1
Wulong Liu 1
Lyn Venken 1
Francesco Abate 1
Tayebeh Bahreini 1
Lu Wang 1
Martin Barke 1
Clare Thiem 1
Milan Patnaik 1
Q Shi 1
Xiang Wei 1
Gianluca Piccinini 1
Bibhash Sen 1
Jennifer Hallinan 1
Harold Fellermann 1
Zhiqiang Li 1
H Wong 1
Franjo Ivančić 1
Martin Roetteler 1
Darshan Thaker 1
Anuroop Vidapalapati 1
Guangyu Sun 1
Masoud Zamani 1
S Srinivasan 1
Mohsen Raji 1
Hossein Pedram 1
Shunming Syu 1
Vivek Shende 1
Kwangting Cheng 1
Kenneth O'Neal 1
Simeranjit Brar 1
Victor Nicola 1
Avinash Kodi 1
Bryan Jackson 1
Charles Augustine 1
Hai Li 1
Nobuaki Miyakawa 1
Chris Kim 1
Bruno Rouzeyre 1
Domenic Forte 1
Sina Shahbazmohamadi 1
Marco Indaco 1
Kae Nemoto 1
Wei Zhao 1
Nabanita Majumdar 1
Nadine Gergel-Hackett 1
Yuxing Yao 1
Gabriel Schulhof 1
Krishna Kant 1
Giacomo Ghidini 1
Andrew Rawson 1
Tahir Cader 1
William Gustafson 1
Aleksandr Biberman 1
Qianfan Xu 1
Alan Mickelson 1
Hrishikesh Jayakumar 1
Woosuk Lee 1
Aldo Romani 1
Gaurav Rathi 1
Dafine Ravelosona 1
Shriram Raghunathan 1
Sheyshi Lu 1
Laura Conde-Canencia 1
Moonseok Kim 1
Davide Bertozzi 1
Christophe Layer 1
Abdullah Guler 1
Chao Chen 1
Wei Jiang 1
Haoran Li 1
Zoha Pajouhi 1
Guangjun Wen 1
Anderson Sartor 1
Ajay Singhvi 1
Kaitak Lam 1
Jing Guo 1
Sophiane Senni 1
Weikang Qian 1
Sai Chittamuru 1
Srinivas Desai 1
Sudeep Pasricha 1
Bo Yuan 1
Somnath Paul 1
Priyadarshini Panda 1
Hantao Huang 1
Sukyung Yoon 1
Soheil Salehi 1
Ronald Demara 1
Keith Britt 1
Charles Lieber 1
Alexander Gotmanov 1
Xuefu Zhang 1
Fei Xia 1
Junchen Liu 1
Gabriela Nicolescu 1
Taşkın Koçak 1
Saraju Mohanty 1
Naseef Mansoor 1
Guru Venkataramani 1
Teng Lu 1
Zhehui Wang 1
H Wong 1
Subhasish Mitra 1
Jiale Huang 1
Mukta Farooq 1
Pinghung Yuh 1
Nahid Hossain 1
Chinghwa Cheng 1
Masaki Okajima 1
Haera Chung 1
Christopher Curtis 1
Yuchun Ma 1
Tanay Karnik 1
Milad Maleki 1
Houle Gan 1
Glenn Ko 1
Zhang Luo 1
Mingche Lai 1
Andy Tyrrell 1
Andrew Greensted 1
Joël Rossier 1
Alexander Khitun 1
Mircea Vlăduţiu 1
Lukáš Sekanina 1
Z Wang 1
Huaixiu Zheng 1
Alain Pegatoquet 1
Olivier Berder 1
K Habib 1
Saber Moradi 1
Daniel Fasnacht 1
Leo Filippini 1
Yujie Huang 1
Yaohong Wang 1
Eva Rotenberg 1
Ismo Hänninen 1
Craig Lent 1
Ryangary Kim 1
Bernard Girau 1
Laurent Rodriguez 1
Zhongqi Li 1
Mathias Soeken 1
D Miller 1
Bernard Diény 1
Chandan Sarkar 1
Nong Xiao 1
Fang Liu 1
Rafael Maeda 1
Fernanda Kastensmidt 1
Yan Fang 1
Jian Zhang 1
Abdoulaye Gamatié 1
Shihhsien Kuo 1
Swapnil Bhatia 1
Manojit Dutta 1
Yousuke Takada 1
James Donald 1
Woohyung Lee 1
Jorge Kina 1
ChiOn Chui 1
Stanley Yeh 1
Paul Pop 1
Chunyao Wang 1
Ingchao Lin 1
Igor Markov 1
Kushal Datta 1
Yehia Massoud 1
Sébastien Beux 1
David Lilja 1
Marc Riedel 1
Kourosh Marjoei 1
Ian O'Connor 1
Akriti Bagaria 1
Sandeep Samal 1
Rajiv Joshi 1
Zhe Wan 1
Winfried Wilcke 1
Sharad Malik 1
Deepa P 1
Travis Humble 1
Dong Xiang 1
Jifeng Chen 1
Steven Rubin 1
Gilda Garretón 1
Sujay Deb 1
Deukhyoun Heo 1
Curtis Madsen 1
Srihari Cadambi 1
Ashutosh Chakraborty 1
Xuehui Zhang 1
Prachi Joshi 1
Yungchih Chen 1
Renu Kumawat 1
Jiunli Lin 1
Ketan Patel 1
Huaiyuan Tseng 1
Yingyezhe Jin 1
Karsten Beckmann 1
Zahiruddin Alamgir 1
Wujie Wen 1
Leyla Nazhandali 1
Naoya Tate 1
Domenico Cotroneo 1
Jin Sun 1
Vandi Alves 1
Bulent Kurdi 1
Dharmendra Modha 1
Geoffrey Burr 1
Sri Choday 1
Yiran Chen 1
Jun Yang 1
Alexey Khvalkovskiy 1
Steven Reinhardt 1
Cesare Ferri 1
Sherief Reda 1

Affiliation Paper Counts
University of Kansas 1
Samsung Group 1
Indian Institute of Science, Bangalore 1
Peking University 1
University of California, Berkeley 1
State University of New York at New Paltz 1
Air Force Research Laboratory Information Directorate 1
Brno University of Technology 1
Laboratoire D'electronique, Antennes et Telecommunications 1
Japan Science and Technology Agency 1
Harbin Institute of Technology 1
University of Texas at Austin 1
Ohio University Athens 1
University of Houston-Clear Lake 1
University of Victoria 1
Shanghai Jiaotong University 1
Ozyegin University 1
ARM Ltd. 1
Valparaiso University 1
Amazon.com, Inc. 1
MCKV Institute of Engineering 1
Broadcom Limited, San Jose 1
National University of Singapore 1
Yeditepe University 1
Universite Pierre et Marie Curie 1
Federal University of Piaui 1
Rutgers, The State University of New Jersey 1
Azusa Pacific University 1
Southeast University China, Nanjing 1
Chongqing University 1
Amity University, Kolkata 1
Cadence Design Systems 1
The University of British Columbia 1
Zurich University of Applied Sciences Winterthur 1
Chung Yuan Christian University 1
Wuhan University 1
Kalyani Government Engineering College 1
INRIA Institut National de Rechereche en Informatique et en Automatique 1
City University of New York 1
NEC Corporation 1
University of Twente 1
University of North Texas 1
University of Maryland, Baltimore 1
University of Copenhagen 1
Feng Chia University 1
Yangzhou University 1
Hiroshima University 1
Centre Hospitalier de L'Universite de Montreal 1
Chang Gung University 1
National Taiwan University Hospital 1
Nanzan University 1
Utah State University 1
Defence Research and Development Organisation India 1
Universidad Catolica de Murcia 1
University of Oxford 1
Minia University 1
Research Organization of Information and Systems National Institute of Informatics 1
HP Labs, Bristol 1
NYU Tandon School of Engineering 1
University of Waterloo 1
ORT Braude - College of Engineering 1
Texas Instruments (India) Ltd 1
Florida International University 2
Kirtland Air Force Base 2
Universite de Lorraine 2
Harvard University 2
University of Calgary 2
Harbin Engineering University 2
University of Missouri-Kansas City 2
Qualcomm Incorporated 2
Colorado State University 2
University of Illinois at Urbana-Champaign 2
Hunan University 2
Federal University of Uberlandia 2
Missouri University of Science and Technology 2
Bahcesehir University 2
Toshiba America Research, Inc 2
European Centre for Soft Computing 2
University of Ferrara 2
University of Southern California, Information Sciences Institute 2
Universite de Lyon 2
Hewlett-Packard Inc. 2
Louis Stokes Cleveland VA Medical Center 2
Southern Illinois University 2
Jadavpur University 2
University of Seoul 2
STMicroelectronics 2
University of Science and Technology of China 2
Virginia Tech 2
University of Bristol 2
Johannes Kepler University Linz 2
Pontifical Catholic University of Rio Grande do Sul 2
Advanced Micro Devices, Inc. 2
Oracle Corporation 2
Commissariat a L'Energie Atomique CEA 2
Shahed University 2
Indian Institute of Technology 2
University of Turku 2
Hefei National Laboratory for Physical Sciences at Microscale 2
Stony Brook University 2
California Institute of Technology 2
Daneshgahe Esfahan 2
Google Inc. 2
Technical University of Denmark 3
Louisiana State University 3
University of York 3
Air Force Research Laboratory 3
Malaviya National Institute of Technology 3
National Chiao Tung University Taiwan 3
University of Washington, Seattle 3
Carnegie Mellon University 3
University of Calcutta 3
NEC Laboratories America, Inc. 3
University of New Brunswick 3
University of Tehran 3
Catholic University of Leuven, Leuven 3
Institut des Nanotechnologies de Lyon 3
Indian Institute of Technology, Kharagpur 3
Texas A and M University System 3
University of Tennessee, Knoxville 3
University of Delaware 3
Beihang University 3
George Washington University 3
Delft University of Technology 3
Royal Institute of Technology 4
Tyndall National Institute at National University of Ireland, Cork 4
University of California, San Diego 4
Indian Institute of Engineering Science and Technology, Shibpur, Howrah, India 4
Polytechnic University of Timisoara 4
University of Texas at Arlington 4
IBM, USA 4
Columbia University 4
University of Siena 4
Shanghai University 4
Universite de Bretagne-Sud 4
Portland State University 4
Yonsei University 4
Polytechnic School of Montreal 4
University of Arizona 4
State University of New York at Albany 4
CEA LETI 4
Technical University of Munich 4
Oak Ridge National Laboratory 4
University of Rochester 4
Federal University of Pernambuco 4
George Mason University 4
Karlsruhe Institute of Technology 4
Universite de Rennes 1 4
University of Tokyo 4
Ghent University 4
National Institute of Technology, Durgapur 5
Indian Statistical Institute, Kolkata 5
Universitat Politecnica de Catalunya 5
National Tsing Hua University 5
University of Texas at Dallas 5
Federal University of Rio Grande do Sul 5
Pacific Northwest National Laboratory 5
University of Minnesota System 5
Chinese Academy of Sciences 5
University of Naples Federico II 5
Seoul National University 5
Texas A and M University 5
University of Alberta 5
Japan National Institute of Information and Communications Technology 5
Massachusetts Institute of Technology 5
Rice University 5
University of Catania 5
Universite Paris-Sud XI 6
New York University 6
University of Texas at San Antonio 6
National Cheng Kung University 6
Case Western Reserve University 6
University of Virginia 6
University of Utah 6
University of California, Davis 6
Politecnico di Milano 6
University of California, Irvine 6
University of Southern California 6
Southern Illinois University at Carbondale 7
SPINTEC - Spin in Electronics Research 7
Newcastle University, United Kingdom 7
University of California, Riverside 7
University of Electronic Science and Technology of China 7
Drexel University 7
Arizona State University 8
HP Labs 8
University of Maryland, Baltimore County 8
University of Manchester 8
Nanyang Technological University 8
Korea Advanced Institute of Science & Technology 8
The Institute of Fundamental Electronics, Orsay 8
Keio University 8
Indian Institute of Technology, Delhi 9
Indian Institute of Technology, Madras 9
Brown University 9
Swiss Federal Institute of Technology, Zurich 9
University of Florida 10
IBM Almaden Research Center 10
Texas Instruments 10
Laboratoire d'Informatique, de Robotique et de Microelectronique de Montpellier LIRMM 10
Cornell University 10
National Taiwan University 10
University of Massachusetts Amherst 11
University of Central Florida 11
Bremen University 11
University Michigan Ann Arbor 11
University of Bologna 11
University of Minnesota Twin Cities 11
Rochester Institute of Technology 11
Boston University 12
Tsinghua University 12
University of California, Los Angeles 12
The University of North Carolina at Charlotte 12
University of Colorado at Boulder 12
IBM Thomas J. Watson Research Center 13
University of Pittsburgh 13
Stanford University 14
National University of Defense Technology China 15
Georgia Institute of Technology 15
University of South Florida Tampa 15
University of California, Santa Barbara 16
Swiss Federal Institute of Technology, Lausanne 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 37
Purdue University 38
Princeton University 53

ACM Journal on Emerging Technologies in Computing Systems (JETC)
Archive


2018
Volume 14 Issue 2, May 2018  Issue-in-Progress
Volume 14 Issue 1, March 2018

2017
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

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

2015
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

2014
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

2013
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

2012
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

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

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

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

2008
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

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

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

2005
Volume 1 Issue 3, October 2005
Volume 1 Issue 2, July 2005
Volume 1 Issue 1, April 2005
 
All ACM Journals | See Full Journal Index

Search JETC
enter search term and/or author name