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Emerging Technologies in Computing (JETC)

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Guest Editors’ Introduction

Structured Pruning of Deep Convolutional Neural Networks

Real-time application of deep learning algorithms is often hindered by high computational complexity and frequent memory accesses. Network pruning is... (more)

Energy-Efficient and Improved Image Recognition with Conditional Deep Learning

Deep-learning neural networks have proven to be very successful for a wide range of recognition tasks across modern computing platforms. However, the... (more)

Distributed In-Memory Computing on Binary RRAM Crossbar

The recently emerging resistive random-access memory (RRAM) can provide nonvolatile memory storage but also intrinsic computing for matrix-vector... (more)

Stochastic CBRAM-Based Neuromorphic Time Series Prediction System

In this research, we present a Conductive-Bridge RAM (CBRAM)-based neuromorphic system which efficiently addresses time series prediction. We propose... (more)

High-Performance Computing with Quantum Processing Units

The prospects of quantum computing have driven efforts to realize fully functional quantum processing units (QPUs). Recent success in developing... (more)

Real-Time SoC Security against Passive Threats Using Crypsis Behavior of Geckos

The rapid evolution of the embedded era has witnessed globalization for the design of SoC architectures in the semiconductor design industry. Though... (more)

NEWS

New JETC Editor-in-Chief

The Journal of Emerging Technologies in Computing Systems is happy to welcome Prof. Yuan Xie (University of California at Santa Barbara as the incoming Editor in Chief! We are also grateful to Prof. Krish Chakrabarty for serving as Editor in Chief for the last six years, and would like to wish to both all the best in their future!

About JETC

Scope

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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Mobile Unified Memory-Storage Structure based on Hybrid Non-Volatile Memories

In mobile computing systems, the limited amount of main memory space leads to page swap operation overhead and data duplication in both main memory and secondary storage. Furthermore, SQLite write operations in mobile devices such as smartphones and tablet PCs tend to frequently overwrite data to storage, significantly degrading performance. Thus, this paper presents a unified memory-storage structure that is optimized for mobile devices and blurs the boundary between the existing main memory layer and secondary storage layer. The unified memory-storage structure consists of a Dynamic RAM (DRAM) based dual buffering module, hybrid unified memory-storage array consisting of DRAM, a SLC/MLC hybrid 3D cross point array, and NAND Flash memory, and an associated unified storage translation layer devised for the memory address and file translation mechanism as a system software module. This hybrid array of non-volatile memories is formed as a single memory-disk integrated storage space that can be logically divided into static and dynamic spaces. Experimental results show that the overall performance of the hybrid unified memory-storage system with the buffering structure increases by around 59% and power consumption is also improved by 30%, compared to previous integrated memory-disk system.

Optical Overlay NUCA: A High Speed Substrate for Shared L2 Caches

In this paper, we propose to use optical NoCs to design cache access protocols for large shared L2 caches. Naive approaches are wasteful in terms of energy and bandwidth. Hence, we propose a set of novel schemes in this paper that create a set of virtual networks (overlays) of cache banks over a physical optical NoC. We search for a block inside each overlay using a combination of multicast and unicast messages. We first propose two simple protocols: TSI and Broadcast. The former uses unicast messages and the latter uses multicast messages. We subsequently, propose an improved scheme, OP BCAST, that combines the best of TSI and Broadcast, and mainly uses restricted multicast messages. We subsequently propose a set of novel hardware structures for creating and managing overlays, and for implementing dynamically changing overlays with OP BCAST. The performance of the TSI scheme is within 2-3% of a broadcast scheme, and it is faster than traditional schemes with electrical networks by 26%. OP BCAST is 34% faster than the best solutions with copper based NoCs; moreover, it reduces the dynamic energy for cache access by 33% as compared to the TSI scheme.

Impact of Electrostatic Coupling and Wafer-Bonding Defects on Delay Testing of Monolithic 3D Integrated Circuits

Monolithic three-dimensional (M3D) integration is gaining momentum as it has the potential to achieve significantly higher device density compared to 3D integration based on through-silicon vias. In this paper, we first analyze electrostatic coupling in M3D ICs, which arises due to the aggressive scaling of the inter-layer dielectric thickness. We then analyze defects that arise due to voids created during wafer bonding. We quantify the impact of these defects on the threshold voltage of a top-layer transistor in an M3D integrated circuit. We also show that wafer-bonding defects can lead to a change in the resistance of inter-layer vias (ILVs), and in some cases, lead to an open in an ILV or a short between two ILVs. We then analyze the impact of these defects on path delays using HSpice simulations. We study their impact on the effectiveness of delay-test patterns for multiple instances of IWLS05 benchmarks in which these defects were randomly injected. Our results show that the timing characteristics of an M3D IC can be significantly altered due to coupling and wafer-bonding defects if the thickness of its ILD is less than 100 nm.

Design and Analysis of STTRAM-based Ternary Content Addressable Memory Cell

Content Addressable Memory(CAM) is widely used in the applications where searching specific pattern in data is a major operation. Conventional CAMs suffer from area, power, and speed limitations. We propose a Spin-Torque Transfer RAM(STTRAM) based Ternary CAM(TCAM) cells. The proposed TCAM cell has 62.5%(33%) reduction in transistor count compared to conventional CMOS (spintronic) TCAMs. Simulations indicated reliable sense margin of 50mV even at 0.7V supply voltage for 256-bits word. We also explored selective threshold voltage modulation of transistors to improve the sense margin and tolerate process and voltage variations. The worst case search latency and sense margin of 256-bit TCAM is found to be 263ps and 220mV respectively at 1V supply voltage. The average search power consumed is 13mW and the search energy is 4.7fJ/bit search. The write time is 4ns and the write energy is 0.69pJ/bit. We leverage the NOR type TCAM design to realize a 9T-2MTJ NAND type TCAM cell which has 43.75% less number of transistors than the conventional CMOS TCAM cell. NAND type cell can support up to 64-bit word with maximum sense margin of up to 33mV. We compare the performance metrics of NOR and NAND type TCAM cells with other TCAM in the literature.

Design of approximate compressors for multiplication

Approximate computing has recently developed as a promising technique for energy efficient VLSI system design and also best suited for error resilient applications, such as signal processing and multimedia. Approximate computing reduces accuracy, but it still provides significant and faster results with usually lower power consumption. This is mostly attractive for arithmetic circuits. In this paper, various novel design approaches of approximate 4-2 and 5-2 Compressors are proposed for reduction of the partial products stages during multiplication. Three approximate 8x8 Dadda multiplier designs using a novel three 4-2 approximate compressors and also two approximate 8x8 Dadda multiplier designs using a novel 5-2 approximate Compressors are proposed. Extensive simulation results show that the proposed designs achieve significant accuracy improvement together with power and delay reductions compared to previous approximate designs.

Coupled Spin-Torque Nano-Oscillator based Computation: A Simulation Study

In this paper, we present comprehensive study of four frequency locking mechanisms in Spin Torque Nano Oscillators (STNOs) and explore their suitability for a class of specialized computing applications. We implemented a physical STNO model based on Landau-Lifshitz-Gilbert-Slonczewski equation (LLGS) and benchmarked the model to experimental data. Based on our simulations we provide an in-depth analysis of how the self-organizing ability of coupled STNO array can be effectively used for computations which are unsuitable or inefficient in von-Neumann computing models. As a case study, we demonstrate the computing ability of coupled STNOs with two applications: edge detection of an image and associative computing for image recognition. We also provide an analysis of the scaling trends of STNOs and the effectiveness of different frequency locking mechanisms with scaling.

A Reconfigurable Architecture with Sequential Logic-based Stochastic Computing

Computations based on stochastic bit streams have several advantages compared to deterministic binary radix computations, including low power consumption, low hardware cost, and high fault-tolerance. In addition, previous research work on artificial neural networks has shown that computation on stochastic bit streams using sequential logic for certain complex arithmetic operations, such as the hyperbolic tangent function, consumes less energy than that using binary radix. To take advantage of this computing technique, previous work proposed a combinational logic-based reconfigurable architecture to perform complex arithmetic operations on stochastic streams of bits. This paper introduces a methodology for synthesizing a given target function stochastically using finite-state machines (FSMs), and enhances and extends the reconfigurable architecture using sequential logic. Compared to the previous approach, the proposed reconfigurable architecture can save hardware area and energy consumption by up to 30% and 40%, respectively, while achieving a higher processing speed. Both stochastic reconfigurable architectures are much more tolerant of soft errors (bit flips) than the deterministic binary radix implementations, and its fault tolerance scales gracefully to very large numbers of errors.

SPARCNet: A Hardware Accelerator for Efficient Deployment of Sparse Convolutional Networks

Deep neural networks have been shown to outperform prior state-of-the-art solutions that often relied heavily on hand-engineered feature extraction techniques coupled with simple classification algorithms. In particular, deep convolutional neural networks have been shown to dominate on several popular public benchmarks such as ImageNet database. Unfortunately, the benefits of deep networks have yet to be fully exploited in embedded, resource-bound settings that have strict power and area budgets. In order to reduce power and area while still achieving required throughput, classification-efficient network architectures are required in addition to optimal deployment on efficient hardware. In this work, we target both of these enterprises. For the first objective, we analyze simple, biologically-inspired reduction strategies that are applied both before and after training. The central theme of the techniques is the introduction of sparsification to help dissolve away the dense connectivity that is often found at different levels in convolutional networks. In the second contribution, we propose SPARCNet: a hardware accelerator for efficient deployment of SPARse Convolutional NETworks. The accelerator looks to enable deploying networks in such resource-bound settings by exploiting efficient forms of parallelism and the proposed sparsification techniques.

Sketching Computation with Stochastic Processing Engines

In conventional embedded computing, a sudden shortage of computing resource, such as premature termi-nation or power outage, often results a complete computing failure and produces totally unusable results.To circumvent this challenge, we present a novel technique that allows reconfigurable computing to achieve quality scalability by leveraging probabilistic principle. Our objective is to maximize the quality and us-ability of final results even under sudden change of computing resource.This paper explores how to leverage stochastic principle to gracefully salvage partially finished results of embedded computing. Our work is inspired by the concept of incremental sketching frequently found in artistic rendering, where the drawing procedure consists of a series of steps, each gradually improving the quality of results. The essence of our approach is to encode the input signal as the probability density function, perform stochastic computing operations on the signal in the probabilistic domain, and decode the output signal by estimating the probability density function of the resulting random samples.To validate our proposed architecture design, we have implemented a proof-of-concept probabilistic convolver with a Virtex 6FPGA device. Finally, we use three convolution-based image processing applications, image correspondence,image sharpening, and edge detection, to demonstrate that important embedded computing applications can indeed be sketched in a graceful manner.

Computing Polynomials using Unipolar Stochastic Logic

This paper addresses subtraction and polynomial computations using unipolar stochastic logic. Stochastic computing requires simple logic gates and stochastic logic based circuits are inherently fault-tolerant. While it is easy to realize multiplication and scaled addition, implementation of subtraction is non-trivial using unipolar stochastic logic. Additionally, an accurate computation of subtraction is critical for the implementation of polynomials with negative coefficients in stochastic unipolar representation. This paper, for the first time, demonstrates that instead of using well-known Bernstein polynomials, stochastic computation of polynomials can be implemented by using a stochastic subtractor and factorization. Three major contributions are made in this paper. First, two approaches are proposed to compute subtraction in stochastic unipolar representation. In the first approach, the subtraction operation is approximated by cascading multi-levels of OR and AND gates. In the second approach, the stochastic subtraction is implemented using a multiplexer and a stochastic divider. Second, computation of polynomials in stochastic unipolar format is presented using scaled addition and proposed stochastic subtraction. Third, we propose stochastic computation of polynomials using factorization. From experimental results, it is shown that the proposed stochastic logic circuits require less hardware complexity than the previous stochastic polynomial implementation using Bernstein polynomials.

Quantum-Circuit Synthesis Targeting to Improve One-Way Quantum Computation Pattern Cost Metrics

One-way quantum computation (1WQC) is a model of universal quantum computations in which a specific highly entangled state called a cluster state allows for quantum computation by single-qubit measurements. The needed computations in this model are organized as measurement patterns. The traditional approach to obtain a measurement pattern is by translating a quantum circuit that solely consists of CZ and J(alpha) gates into the corresponding measurement patterns and then performing some optimizations by using techniques proposed for the 1WQC model. However, in these cases the input of the problem is a quantum circuit, and not an arbitrary unitary matrix. Therefore, in this paper, we focus on the first phase, i.e., decomposing a unitary matrix into CZ and J(alpha) library of gates. Two well-known quantum circuit synthesis methods, namely, cosine-sine decomposition (CSD) and quantum Shannon decomposition (QSD) are considered and then are adapted for a library of gates containing CZ and J(alpha), equipped with optimizations. By exploring the solution space of the combinations of these two methods in a bottom-up approach of dynamic programming, a multi-objective quantum circuit synthesis method is proposed that generates a set of quantum circuits. This approach attempts to simultaneously improve the measurement pattern cost metrics after the translation from this set of quantum circuits.

VLSI Architecture for the Restricted Boltzmann Machine

Neural network (NN) systems are widely used in many important applications ranging from computer vision to speech recognition. To date, most NN systems are processed by general processing units like CPUs or GPUs. However, as the sizes of dataset and network rapidly increase, the original software implementations suffer from long training time. To overcome this problem, specialized hardware accelerators are needed to design high-speed NN systems. This paper presents an efficient hardware architecture of restricted Boltzmann machine (RBM) that is an important category of NN systems. Various optimization approaches at hardware level are performed to improve the training speed. As-soon-as-possible and overlapped-scheduling approaches are used to reduce the latency. It is shown that, compared with the flat design, the proposed RBM architecture can achieve 50% reduction in training time. In addition, an on-the-fly computation scheme is also used to reduce the storage requirement of binary and stochastic states by several hundreds of times. Then, based on the proposed approach, a 784-2252 RBM design example is developed for MNIST handwritten digit recognition dataset. Analysis shows that the VLSI design of RBM achieves 170 times speedup in training as compared to a CPU-based solution with small performance loss.

Bibliometrics

Publication Years 2005-2017
Publication Count 334
Citation Count 805
Available for Download 334
Downloads (6 weeks) 2368
Downloads (12 Months) 16910
Downloads (cumulative) 140094
Average downloads per article 419
Average citations per article 2
First Name Last Name Award
Iris Bahar ACM Distinguished Member (2012)
Krishnendu Chakrabarty ACM Distinguished Member (2008)
ACM Senior Member (2006)
Nikil D. Dutt ACM Distinguished Member (2007)
Roman Lysecky ACM Senior Member (2014)
Igor Markov ACM Distinguished Member (2011)
ACM Senior Member (2007)
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-IEEE CS Eckert-Mauchly Award (2014)
Massoud Pedram ACM Distinguished Member (2008)
Steven K Reinhardt ACM Distinguished Member (2010)

First Name Last Name Paper Counts
Niraj Jha 19
Krishnendu Chakrabarty 10
Kaushik Roy 7
Wei Zhang 7
Michael Niemier 6
Rodney Van Meter 6
Yuan Xie 6
Li Shang 6
Xiaobosharon Hu 5
Pierre Gaillardon 5
Partha Pande 5
Mehdi Tahoori 5
Fabrizio Lombardi 5
Mariagrazia Graziano 4
Shuo Wang 4
Lei Wang 4
Alvin Lebeck 4
Mohammad Tehranipoor 4
Chris Dwyer 4
Morteza Zamani 3
Spyros Tragoudas 3
Mahdi Nikdast 3
Michael Crocker 3
Paul Wettin 3
Jordi Cortadella 3
Sourindra Chaudhuri 3
Jianwei Dai 3
Mehdi Sedighi 3
Xuan Wang 3
Aoxiang Tang 3
Yaoyao Ye 3
Bhargab Bhattacharya 3
Tao Xu 3
Jacques Klein 3
Weisheng Zhao 3
Fei Su 3
Ferdinand Peper 3
Arun Ravindran 3
Nagarajan Ranganathan 3
Maurizio Zamboni 3
Eren Kursun 3
Robert Wille 3
Arindam Mukherjee 3
Rolf Drechsler 3
Xiaowen Wu 3
Kishor Trivedi 3
Chris Myers 2
Douglas Densmore 2
Lionel Torres 2
Giorgio Natale 2
Sudip Roy 2
Kolin Paul 2
Stefano Frache 2
Yaojun Zhang 2
Giovanni Micheli 2
Bao Liu 2
Cheng Zhuo 2
Bryant Wysocki 2
Sparsh Mittal 2
Xuanyao Fong 2
Oliver Keszocze 2
Massoud Pedram 2
Jacob Murray 2
Saibal Mukhopadhyay 2
John Savage 2
Byungsoo Choi 2
Damien Querlioz 2
Mehrdad Nourani 2
Rivalino Matias 2
Zhehui Wang 2
Lei Wang 2
Ashok Palaniswamy 2
Jing Huang 2
André DeHon 2
Suman Datta 2
Tsungyi Ho 2
Min Chen 2
Alexis De Vos 2
Faquir Jain 2
Ruth Bahar 2
Anil Wipat 2
Mahboobeh Houshmand 2
Shashikanth Bobba 2
Pallav Gupta 2
Marco Ottavi 2
Bharat Joshi 2
Josep Carmona 2
Philippe Coussy 2
Baris Taskin 2
Xianmin Chen 2
Mona Arabzadeh 2
Giovanni De Micheli 2
Jiang Xu 2
Arighna Deb 2
Jaidev Patwardhan 2
Luca Schiano 2
Yongtae Kim 2
Bipul Paul 2
Prateek Mishra 2
Ulf Schlichtmann 2
Amlan Ganguly 2
Eric Rachlin 2
Vijaykrishnan Narayanan 2
Peng Li 2
Dhiraj Pradhan 2
Torben Mogensen 2
Hafizur Rahaman 2
Rangharajan Venkatesan 2
Anand Raghunathan 2
Behrooz Shirazi 2
Vijay Reddy 2
Sumeet Gupta 2
Mostafizur Rahman 2
Csaba Moritz 2
Sachin Sapatnekar 2
Himanshu Thapliyal 2
Giovanni De Micheli 2
Jiang Xu 2
Frederic Chong 2
Siddhartha Datta 2
Mehdi Saeedi 2
Chiachun Lin 2
Djaafar Chabi 2
Mrigank Sharad 2
Reza Rad 2
Santosh Khasanvis 2
William Cane-Wissing 1
Muhammad Ahsan 1
Loic Decloedt 1
Angsuman Sarkar 1
Alain Pegatoquet 1
Olivier Berder 1
K Habib 1
Saber Moradi 1
Daniel Fasnacht 1
Leo Filippini 1
Tanay Karnik 1
Milad Maleki 1
Houle Gan 1
Srihari Cadambi 1
Nobuaki Miyakawa 1
Z Wang 1
Huaixiu Zheng 1
Curtis Madsen 1
Ashutosh Chakraborty 1
Xuehui Zhang 1
Nong Xiao 1
Fang Liu 1
Rafael Maeda 1
Fernanda Kastensmidt 1
Yan Fang 1
Jian Zhang 1
Abdoulaye Gamatié 1
Chris Kim 1
Bruno Rouzeyre 1
Domenic Forte 1
Sina Shahbazmohamadi 1
Marco Indaco 1
Sanjukta Bhanja 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
Wei Zhao 1
Nabanita Majumdar 1
Nadine Gergel-Hackett 1
Yuxing Yao 1
Gabriel Schulhof 1
Prachi Joshi 1
Yungchih Chen 1
Dong Xiang 1
Renu Kumawat 1
Amlan Chakrabarti 1
Jiunli Lin 1
Bernard Girau 1
Laurent Rodriguez 1
Jifeng Chen 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
Joël Rossier 1
Alexander Khitun 1
Mircea Vlăduţiu 1
Lukáš Sekanina 1
Andy Tyrrell 1
Andrew Greensted 1
Huaiyuan Tseng 1
Yujie Huang 1
Yaohong Wang 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
Masaki Okajima 1
Pinghung Yuh 1
Eva Rotenberg 1
Ismo Hänninen 1
Craig Lent 1
Ryangary Kim 1
Mathias Soeken 1
D Miller 1
Bernard Diény 1
Chandan Sarkar 1
Olivier Sentieys 1
Mostafa Azghadi 1
Mehmet Ozdas 1
Edith Beigné 1
Niraj Jha 1
Alaeddin Aydiner 1
Chidhambaranathan R 1
Chirag Garg 1
Arnab Roy 1
Chenyuan Zhao 1
Cesare Ferri 1
Sherief Reda 1
Steven Reinhardt 1
Jonathan Salkind 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
Wei Chen 1
Liang Wen 1
Xiong Pan 1
Luan Duong 1
Zhifei Wang 1
Luigi Carro 1
Antônio Beck 1
Ney Calazans 1
Qiaoyan Yu 1
Gerardo Pelosi 1
Jean Dutertre 1
Yu Bi 1
Jiannshiun Yuan 1
Bo Yuan 1
Bin Li 1
Mehdi Kamal 1
Andres Kwasinski 1
Carlotta Guiducci 1
Leyla Nazhandali 1
Naoya Tate 1
Shengqi Yang 1
Jamil Wakil 1
Robert Hannon 1
Yue Wu 1
Daniel Davids 1
John Hayes 1
Jun Zeng 1
Mariam Momenzadeh 1
Graham Jullien 1
Rajeswari Devadoss 1
Jiale Liang 1
S Wong 1
Elena Maftei 1
Suyog Gupta 1
Kyuyeon Hwang 1
Kele Shen 1
Sarmishtha Ghoshal 1
Jing Xie 1
Benoit Chappet De Vangel 1
César Torres-Huitzil 1
Nikil Dutt 1
Cyrille Chavet 1
Pooria Yaghini 1
Nader Bagherzadeh 1
Chiahung Chien 1
Marco Tartagni 1
Dongjae Shin 1
Minkyu Maeng 1
Luis Plana 1
David Clark 1
Jim Garside 1
Eustace Painkras 1
Marc Jaekel 1
Evan Lent 1
Domenico Cotroneo 1
Jin Sun 1
Vandi Alves 1
Clemens Moser 1
Rita Casadio 1
Ramprasad Ravichandran 1
Bulent Kurdi 1
Dharmendra Modha 1
Geoffrey Burr 1
Sri Choday 1
Jamie Collier 1
Yiran Chen 1
Jun Yang 1
Alexey Khvalkovskiy 1
Mary Eshaghian-Wilner 1
Lucian Prodan 1
Mihai Udrescu 1
Aditya Prasad 1
Jacob White 1
Gordon Wan 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
Michal Lipson 1
Keren Bergman 1
Hongyu Zhou 1
Holger Axelsen 1
Greg Snider 1
Trung Nguyen 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
Azzurra Pulimeno 1
Gefei Wang 1
Youguang Zhang 1
Kiyoung Choi 1
William Fornaciari 1
Vivek De 1
Swarup Bhunia 1
El Hasaneen 1
Glenn Reinman 1
Shigeto Nakayama 1
Nathan Binkert 1
Trevor Mudge 1
Paul Ampadu 1
Nicholas Roehner 1
Goksel Misirli 1
Rudolf Füchslin 1
Herbert Sauro 1
Biplab Sikdar 1
Mark Hagan 1
Meghna Mankalale 1
Lei Wang 1
Zhiguang Chen 1
José Abellán 1
A Goud 1
Liang Rong 1
Arthur Lorenzon 1
Victor Yashin 1
Donald Chiarulli 1
Ernesto Sánchez 1
David Wolpert 1
Kartik Mohanram 1
Runlai Wan 1
Stephan De Castro 1
Elena Vatajelu 1
Anirudh Iyengar 1
Kaveh Shamsi 1
Xunzhao Yin 1
Jayita Das 1
Daniel Grissom 1
Nishad Nerurkar 1
Sandro Bartolini 1
Jie Chen 1
Christine Nardini 1
Pratik Kabali 1
Weichen Liu 1
Yao Xu 1
Ransford Hyman 1
Vasilis Pavlidis 1
Debasis Mitra 1
Narayanan Komerath 1
Fiona Teshome 1
Gabriel Loh 1
Lloyd Harriott 1
Arthur Nieuwoudt 1
Sezer Gören 1
Jia Lee 1
Behnam Ghavami 1
Yang Liu 1
Manoj Gaur 1
Luke Pierce 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
Giuseppe Profiti 1
Pier Martelli 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
Shiva Navab 1
Kang Wang 1
Albert Lin 1
Chunyi Lee 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
Prithviraj Banerjee 1
Alan Savage 1
Siddharth Garg 1
Diana Marculescu 1
Andrès Márquez 1
Jacob Levy 1
Michael Thomsen 1
Kamalika Datta 1
Pragyan Mohanty 1
Umamaheswara Tida 1
Yiyu Shi 1
Xueqing Li 1
Wen Ko 1
Xun Gao 1
Davide Bertozzi 1
Hoda Khouzani 1
Fabrice Bernard-Granger 1
Gregory Pendina 1
Tiansheng Zhang 1
Yue Zhang 1
Claude Chappert 1
Sungjun Yoon 1
V Devanathan 1
Yuchun Ma 1
Yongxiang Liu 1
Eiri Hashimoto 1
Yutaka Sacho 1
Ali Saidi 1
Andy Chiu 1
Haiyao Huang 1
Claudio Moraga 1
Xiaoyu Song 1
Marek Perkowski, 1
Md Rahman 1
Gerhard Dueck 1
Samik Some 1
Olivier Thomas 1
Yu Cao 1
Xuhao Chen 1
Ajay Joshi 1
Xia Zhang 1
Hassan Mohammadi 1
Matteo Reorda 1
Alessandro Barenghi 1
Shahed Quadir 1
John Chandy 1
Mario Barbareschi 1
Paolo Prinetto 1
Jaewon Jang 1
Chengwei Lin 1
Yu Wang 1
Howie Huang 1
Tzvetan Metodi 1
Andrew Cross 1
Michael Henry 1
Jeyavijayan Rajendran 1
Ashok Srivastava 1
Benjamin Gojman 1
Venkataraman Mahalingam 1
Krishnendu Chakrabarty 1
Xuemei Chen 1
Kerry Bernstein 1
James Tour 1
Garrett Rose 1
Peter Kogge 1
Zahra Sasanian 1
H Ugurdag 1
Meng Zhang 1
Kenichi Morita 1
H Wong 1
V Kamakoti 1
A Bhattacharya 1
Soumya Eachempati 1
Yuan Xie 1
Taemin Kim 1
Sajid Anwar 1
Clay Mayberry 1
Spyros Tragoudas 1
Jaeyoon Kim 1
Niraj Jha 1
Pohsun Wu 1
Syed Jafri 1
Misagh Khayambashi 1
Tao Li 1
Vijay Raghunathan 1
Jue Wang 1
Miguel Lastras-Montano 1
Melika Payvand 1
Kwangting Cheng 1
Matteo Filippi 1
Dongjin Kim 1
Rajit Manohar 1
Fabien Clermidy 1
Roberto Pietrantuono 1
Jing Zhao 1
Yanbin Wang 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
André Stauffer 1
Pierre Mudry 1
Gianluca Tempesti 1
Marya Lieberman 1
Jie Deng 1
Chenpang Kung 1
Swaroop Ghosh 1
Steven Garverick 1
Yaojoe Yang 1
Diana Franklin 1
Sandeep Gupta 1
Kyle Preston 1
Gilbert Hendry 1
Nicolas Sherwood-Droz 1
William Hwang 1
Stéphane Burignat 1
Tetsuo Yokoyama 1
Alireza Shafaei 1
Jack Sampson 1
Abbas Dehghani 1
Kamal Jamshidi 1
Jianyu Chen 1
Sylvain Claireux 1
Guangyan Zhang 1
Trongnhan Le 1
Arnaud Carer 1
Wang Kang 1
Davide Zoni 1
Andrew Kahng 1
Rajat Chakraborty 1
Takanori Maebashi 1
Krisztiàn Flautner 1
Zhen Zhang 1
Maik Hadorn 1
Perrine Batude 1
Shengqi Yang 1
Wenping Wang 1
Wei Zhang 1
Anand Raghunathan 1
Arnab Biswas 1
Zhe Wang 1
Yao Wang 1
Dennis Huo 1
Matheus Moreira 1
Peter Beerel 1
Pinaki Mazumder 1
Luca Breveglieri 1
Qianying Tang 1
Keshab Parhi 1
Youngok Pino 1
Matthew French 1
Christof Teuscher 1
Ali Afzali-Kusha 1
Jie Zhang 1
Isaac Chuang 1
Kohei Itoh 1
Minlun Chuang 1
Harika Manem 1
Mark Oskin 1
Aravinda Kar 1
Jin He 1
Kevin Chang 1
Xinmin Yu 1
M Balakrishnan 1
Michael Leuchtenburg 1
Pavan Panchapakeshan 1
Csaba Moritz 1
Jan Madsen 1
Ashwani Sharma 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
Kyuho Park 1
Hyunchul Seok 1
Chulmin Kim 1
Jun Pang 1
Alex Yakovlev 1
Simon Davidson 1
Steve Furber 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
Thomas Lee 1
Shinobu Fujita 1
Stijn De Baerdemacker 1
Qian Wang 1
Juinndar Huang 1
Jungsang Kim 1
Yuan Xue 1
Chengmo Yang 1
Guillaume Prenat 1
Debesh Das 1
Jie Meng 1
Giacomo Indiveri 1
Can Sitik 1
Emre Salman 1
Suzanne Lesecq 1
Jinho Lee 1
Kyungsu Kang 1
Naser MohammadZadeh 1
Weikai Shih 1
Nathan McDonald 1
Muzaffer Simsir 1
Jason Cong 1
Shinjiro Toyoda 1
Jie Chen 1
Natalio Krasnogor 1
Amlan Gangul 1
Jude Rivers 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
Guido Bertoni 1
Ruggero Susella 1
Stefano Sanfilippo 1
Yingjie Lao 1
Navid Asadizanjani 1
Kenneth Ramclam 1
Kevin Scott 1
Stefan Hillmich 1
Philip Brisk 1
Fuwei Chen 1
Saeed Safari 1
Vineeth Vijayakumaran 1
Manoj Yuvaraj 1
Paolo Grani 1
William Munro 1
Chunyao Wang 1
Garrett Rose 1
Makoto Naruse 1
Naokatsu Yamamoto 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
Xin Li 1
Cory Merkel 1
Manan Suri 1
Abhronil Sengupta 1
Wonyong Sung 1
Michael Gladshtein 1
Yong Zhang 1
Benoît Miramond 1
Hugues Wouafo 1
Jeffrey Krichmar 1
Siddharth Gaba 1
Seongmin Kim 1
Basit Sheikh 1
Michael Kishinevsky 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
Jianjia Chen 1
Lothar Thiele 1
Piero Fariselli 1
Matthew Breitwisch 1
Kailash Gopalakrishnan 1
Niladri Mojumder 1
Jeff Siebert 1
Adrian Ong 1
Eugene Chen 1
Bruce Tidor 1
Jing Li 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
Yaowen Chang 1
Robert Glück 1
Indranil Sengupta 1
Lungyen Chen 1
Laurent Becker 1
Kalyan Biswas 1
Xiang Wei 1
Gianluca Piccinini 1
Dafine Ravelosona 1
Tayebeh Bahreini 1
Lu Wang 1
Martin Barke 1
Clare Thiem 1
Milan Patnaik 1
Q Shi 1
Swapnil Bhatia 1
Abdullah Guler 1
Chao Chen 1
Wei Jiang 1
Haoran Li 1
Zoha Pajouhi 1
Guangjun Wen 1
Anderson Sartor 1
Manojit Dutta 1
Ajay Singhvi 1
Woohyung Lee 1
Kaitak Lam 1
Jing Guo 1
Sophiane Senni 1
Tinoosh Mohsenin 1
Wulong Liu 1
Naseef Mansoor 1
Guru Venkataramani 1
Teng Lu 1
Zhehui Wang 1
H Wong 1
Ayse Coskun 1
Ruiyu Wang 1
Massimo Roch 1
Roger Lake 1
Zhaohao Wang 1
Yang Yi 1
Shankar Balachandran 1
Veezhinathan Kamakoti 1
Franjo Ivančić 1
Yifang Liu 1
Martin Roetteler 1
Natsuo Nakamura 1
Taeho Kgil 1
Yong Zhan 1
Dan Venutolo 1
Erik Lindgren 1
Jennifer Hallinan 1
Harold Fellermann 1
Zhiqiang Li 1
Anuroop Vidapalapati 1
Guangyu Sun 1
Masoud Zamani 1
Hang Zhang 1
Keran Zhou 1
Bibhash Sen 1
Gilles Sassatelli 1
Marie Flottes 1
Junlin Chen 1
Mark Tehranipoor 1
Swaroop Ghosh 1
Yier Jin 1
Amey Kulkarni 1
Huazhong Yang 1
Tingting Hwang 1
Matthias Beste 1
Darshan Thaker 1
Kouichi Akahane 1
Daniel Sorin 1
Minhao Zhu 1
Suman Sah 1
Benjamin Belzer 1
Subhasish Mitra 1
James Donald 1
Jeremy Tolbert 1
Tadashi Kawazoe 1
Xiaojun Ma 1
Jiale Huang 1
Mukta Farooq 1
Charles Lieber 1
Igor Markov 1
Yu Cao 1
Adam Cabe 1
Konrad Walus 1
Kushal Datta 1
Yehia Massoud 1
Ajay Bhoj 1
Jorge Kina 1
ChiOn Chui 1
Stanley Yeh 1
Paul Pop 1
Chunyao Wang 1
Priyadarshini Panda 1
Ingchao Lin 1
Laura Conde-Canencia 1
Arnab Raha 1
Wei Lu 1
Masud Chowdhury 1
Alexander Gotmanov 1
Xuefu Zhang 1
Fei Xia 1
Junchen Liu 1
Gabriela Nicolescu 1
Yuliang Jin 1
Karthik Shankar 1
Taşkın Koçak 1
Saraju Mohanty 1
Lyn Venken 1
Francesco Abate 1
Siva Narendra 1
Sungkyu Lim 1
Alejandro Schrott 1
Mohamad Krounbi 1
Steven Watts 1
Yousuke Takada 1
Shihhsien Kuo 1
Xiaoxia Wu 1
Anish Muttreja 1
Yang Liu 1
Shriram Raghunathan 1
Vivek Shende 1
Jonathan Bean 1
Weiguo Tang 1
Okan Palaz 1
S Srinivasan 1
Mohsen Raji 1
Hossein Pedram 1
Yu Cao 1
Dhireesha Kudithipudi 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
Rajeevan Amirtharajah 1
Kathleen Marchal 1
Jos Vanderleyden 1
Damiano Piovesan 1
Enrico Macii 1
Justin Wenck 1
Wujie Wen 1
Vladimir Nikitin 1
Daniel Lottis 1
Kiseok Moon 1
Daniel Mange 1
Oana Boncalo 1
H Wong 1
Kwangting Cheng 1
Margot Damaser 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
Chialin Yang 1
Sheyshi Lu 1
Chandrakant Patel 1
Cullen Bash 1
Susmit Biswas 1
Heba Saadeldeen 1
Ricardo Bianchini 1
Raymond Beausoleil 1
Xi Chen 1
Gaurav Rathi 1
Moonseok Kim 1
Christophe Layer 1

Affiliation Paper Counts
Universite Pierre et Marie Curie 1
MCKV Institute of Engineering 1
University of Victoria 1
Feng Chia University 1
Southeast University China, Nanjing 1
Yangzhou University 1
University of Kansas 1
Centre Hospitalier de L'Universite de Montreal 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
Brno University of Technology 1
Indian Institute of Science 1
University of Waterloo 1
University of Maryland, Baltimore 1
Peking 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
George Mason University 1
Advanced Micro Devices, Inc. 1
Harbin Institute of Technology 1
Chang Gung University 1
Hewlett-Packard Inc. 1
University of Twente 1
Sun Yat-Sen University 1
Chongqing University 1
University of North Texas 1
University of California, Berkeley 1
Valparaiso University 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
University of California, San Diego 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
University of Texas System 1
Universite Nice Sophia Antipolis 1
Texas Instruments (India) Ltd 1
National Taiwan University Hospital 1
Amazon.com, Inc. 1
Ozyegin University 1
ORT Braude - College of Engineering 1
ARM Ltd. 1
Kalyani Government Engineering College 1
Polytechnic University - Brooklyn 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
Harvard University 2
Qualcomm Incorporated 2
Federal University of Uberlandia 2
University of Southern California, Information Sciences Institute 2
University of Washington, Seattle 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
University of Science and Technology of China 2
University of Bristol 2
Jadavpur University 2
Bahcesehir University 2
Johannes Kepler University Linz 2
STMicroelectronics 2
Oak Ridge National Laboratory 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
University of Alberta 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 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
Indian Statistical Institute, Kolkata 3
University of Maryland, Baltimore County 3
Catholic University of Leuven, Leuven 3
Carnegie Mellon University 3
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
Nanyang Technological University 4
University of Minnesota System 4
CEA LETI 4
University of Texas at Dallas 4
University of Arizona 4
INRIA Institut National de Rechereche en Informatique et en Automatique 4
Polytechnic School of Montreal 4
Technical University of Munich 4
Shanghai University 4
Portland State University 4
University of Tokyo 4
University of Rochester 4
Columbia University 4
Federal University of Pernambuco 4
Indian Institute of Technology, Delhi 4
Ghent University 4
Karlsruhe Institute of Technology 4
National Institute of Technology, Durgapur 4
Rice University 5
Federal University of Rio Grande do Sul 5
Universitat Politecnica de Catalunya 5
Seoul National University 5
University of Naples Federico II 5
National Tsing Hua University 5
Texas A and M University 5
University of Central Florida 5
Massachusetts Institute of Technology 5
Pacific Northwest National Laboratory 5
University of Minnesota Twin Cities 5
University of California, Riverside 5
Japan National Institute of Information and Communications Technology 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
National University of Defense Technology China 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
Indian Institute of Technology, Madras 7
Southern Illinois University at Carbondale 7
University of Manchester 8
Arizona State University 8
University of Florida 8
Keio University 8
Korea Advanced Institute of Science & Technology 8
The Institute of Fundamental Electronics, Orsay 8
IBM Almaden Research Center 9
HP Labs 9
Brown University 9
Tsinghua University 9
Swiss Federal Institute of Technology, Zurich 9
University of California, Los Angeles 9
National Taiwan University 10
Cornell University 10
Laboratoire d'Informatique, de Robotique et de Microelectronique de Montpellier LIRMM 10
Texas Instruments 10
IBM Thomas J. Watson Research Center 10
University Michigan Ann Arbor 10
Rochester Institute of Technology 11
Bremen University 11
University of Massachusetts Amherst 11
University of Bologna 11
University of Colorado at Boulder 12
The University of North Carolina at Charlotte 12
University of Pittsburgh 13
Georgia Institute of Technology 13
Boston University 13
University of South Florida Tampa 14
Stanford University 14
Amirkabir University of Technology 15
Swiss Federal Institute of Technology, Lausanne 16
Northeastern University 16
University of California, Santa Barbara 16
Intel Corporation 18
Pennsylvania State University 19
Washington State University 20
Polytechnic Institute of Turin 23
University of Notre Dame 23
Hong Kong University of Science and Technology 27
University of Connecticut 30
Duke University 32
Purdue University 34
Princeton University 45

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


2017
Volume 13 Issue 3, March 2017  Issue-in-Progress
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
 
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