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ReveNAND: A Fast-Drift-Aware Resilient 3D NAND Flash Design

The paradigm shift from planar (two dimensional (2D)) to vertical (three-dimensional (3D)) models has placed the NAND flash technology on the verge of a design evolution that can handle the demands of next-generation storage applications. However, it also introduces challenges that may obstruct the realization of such 3D NAND flash. Specifically,... (more)

Managing Heterogeneous Datacenters with Tokens

Ensuring fairness in a system with scarce, preferred resources requires time sharing. We consider a heterogeneous system with a few “big” and many “small” processors. We allocate heterogeneous processors using a novel token mechanism, which frames the allocation problem as a repeated game. At each round, users... (more)

Elastic Places: An Adaptive Resource Manager for Scalable and Portable Performance

The diversity and complexity of modern computing platforms makes the development of high-performance software challenging. Designing scalable software requires tuning for a large set of resources, including cores (parallelism), memory bandwidths, and various levels of private and shared caches, as well as developing strategies for optimizing... (more)

Cross-Layer Memory Management to Improve DRAM Energy Efficiency

Controlling the distribution and usage of memory power is often difficult, because these effects typically depend on activity across multiple layers... (more)

DarkCache: Energy-Performance Optimization of Tiled Multi-Cores by Adaptively Power-Gating LLC Banks

The Last Level Cache (LLC) is a key element to improve application performance in multi-cores. To handle the worst case, the main design trend employs tiled architectures with a large LLC organized in banks, which goes underutilized in several realistic scenarios. Our proposal, named DarkCache, aims at properly powering off such unused banks to... (more)

CACF: A Novel Circuit Architecture Co-optimization Framework for Improving Performance, Reliability and Energy of ReRAM-based Main Memory System

Emerging Resistive Random Access Memory (ReRAM) is a promising candidate as the replacement for DRAM due to its low standby power, high density, high scalability, and nonvolatility. By employing the unique crossbar structure, ReRAM can be constructed with extremely high density. However, the crossbar ReRAM faces some serious challenges in terms of performance, reliability, and energy consumption. First, ReRAM’s crossbar structure causes an IR drop problem due to wire resistance and sneak currents, which results in nonuniform access latency in ReRAM banks and reduces its reliability. Second, without access transistors in the crossbar structure, write disturbance results in serious... (more)

Predictable Thread Coarsening

Thread coarsening on GPUs combines the work of several threads into one. We show how thread coarsening can be implemented as a fully automated compile-time optimisation that estimates the optimal coarsening factor based on a low-cost, approximate static analysis of cache line re-use and an occupancy prediction model. We evaluate two coarsening... (more)

NUMA-Caffe: NUMA-Aware Deep Learning Neural Networks

Convolution Neural Networks (CNNs), a special subcategory of Deep Learning Neural Networks (DNNs), have become increasingly popular in industry and academia for their powerful capability in pattern classification, image processing, and speech recognition. Recently, they have been widely adopted in High Performance Computing (HPC) environments for... (more)

DDRNoC: Dual Data-Rate Network-on-Chip

This article introduces DDRNoC, an on-chip interconnection network capable of routing packets at Dual Data Rate. The cycle time of current 2D-mesh Network-on-Chip routers is limited by their control as opposed to the datapath (switch and link traversal), which exhibits significant slack. DDRNoC capitalizes on this observation, allowing two flits... (more)

Extreme-Scale High-Order WENO Simulations of 3-D Detonation Wave with 10 Million Cores

High-order stencil computations, frequently found in many applications, pose severe challenges to emerging many-core platforms due to the complexities... (more)

NEWS

TACO Goes Gold Open Access

As of July 2018, and for a four-year period, all papers published in ACM Transactions on Architecture and Code Optimization (TACO) will be published as Gold Open Access (OA) and will be free to read and share via the ACM Digital Library. READ MORE

About TACO

The ACM Transactions on Architecture and Code Optimization focuses on hardware, software, and systems research spanning the fields of computer architecture and code optimization. Articles that appear in TACO present new techniques and concepts or report on experiences and experiments with actual systems. Insights useful to computer architects, hardware or software developers, system designers and tool builders are emphasized. READ MORE

BestSF: A Sparse Meta-Format for Optimizing SpMV on GPU

It has been widely observed that there is no "best-for-all" sparse format for the SpMV kernel on GPU. Indeed, a serious performance degradation of an order of magnitude can be observed without a careful selection of the sparse format to use. To address this problem, we propose in this paper BestSF (Best Sparse Format), a new learning-based sparse meta-format that automatically selects the most appropriate sparse format for a given input matrix. Our experimental results on two different NVIDIA GPUs using a large number of real-world sparse matrices show that BestSF achieved a noticeable overall performance and energy efficiency improvement.

Layer-centric Memory Reuse and Data Migration for Extreme-Scale Deep Learning on Many-Core Architectures

Running an extreme-scale DNN with continuously increasing scale (depth and width) in a single GPU is urgently required. To reduce the memory footprint for extreme-scale deep learning, we present Layrub, a runtime data placement strategy that achieves layer-centric memory reuse at both the intra-layer and inter-layer levels. Compared to Caffe, Layrub cuts down the memory usage rate by up to 98.9%, at the moderate time cost of 24.1% on average. Layrub outperforms systems such as GeePS, vDNN, MXNet and Tensorflow. It also tackles extreme-scale tasks, including successfully training a ResNet with 1517 layers in one GPU with 12GB memory.

QuMan: Profile-based Improvement of Cluster Utilization

Modern data centers employ workload consolidation to increase server utilization and reduce total cost of ownership, as well as mitigate data center scaling limitations. However, server resource sharing creates performance interference across applications and consequently, increases performance variability and hurts application QoS and user experience. A challenging problem today is to increase shared server utilization while maintaining application QoS. In this paper, we present QuMan, a server resource manager that uses application isolation and profiling to increase server utilization while controlling degradation of application performance.

High Performance Generalized Tensor Operations: A Compiler-Oriented Approach

The efficiency of generalized matrix-matrix multiplication has been of high importance. Compilers cannot optimize it well enough to come close to the performance of expert-tuned implementations. All existing approaches that provide competitive performance require optimized external code. We introduce a compiler optimization that reaches more than 85% of an optimized BLAS library performance without the need for an external implementation or automatic tuning.

Block Cooperation: Advancing Lifetime of Resistive Memories by Increasing Utilization of Error Correcting Codes

Block-level cooperation is an endurance management technique that operates on top of error correction mechanisms to extend memory lifetimes. Once an error recovery scheme fails to recover from faults in a data block, the entire physical page associated with that block is disabled and becomes unavailable to the physical address space. To reduce the page waste caused by early block failures, other blocks can be used to support the failed block, working cooperatively to keep it alive and extend the faulty pages lifetime.

Low Complexity Multiply-Accumulate Units for Convolutional Neural Networks with Weight-Sharing

CNN Hardware accelerators typically contain large numbers of MAC units, the multipliers of which are large in IC gate count and power consumption. We reduce power and area by implementing PASM in a weight-shared CNN. PASM re-architects the MAC to instead count the frequency of each weight and place it in a bin. The accumulated value is computed in a subsequent multiply phase, significantly reducing gate count and power consumption of the CNN. Experiments show that our approach results in fewer gates, smaller logic, and reduced power with only a slight increase in latency in both ASIC and FPGA implementations.

CODA: Enabling Co-location of Computation and Data for multiple GPU systems

To exploit multiple GPUs in a system efficiently, it is critical to co-place compute and data. However, two key techniques that have been used to hide memory latency and improve TLP in traditional GPU systems, memory-interleaving and thread-block scheduling, are at odds with efficient use of multiple GPUs. Distributing data across multiple GPUs to improve memory-bandwidth-utilization incurs high remote traffic when data and compute are misaligned. Nondeterministic thread-block scheduling to improve compute resource utilization impedes compute and data co-placement. This paper proposes a mechanism that identifies exclusive data and places data along with code accessing it in the same GPU.

Cluster Programming using the OpenMP Accelerator Model

This paper introduces computer cluster nodes as simple OpenMP offloading devices that can be used either from a local computer or from the cluster head-node. It proposes a methodology that transforms OpenMP directives to Spark runtime calls with fully integrated communication management, in a way that a cluster appears to the programmer as yet another accelerator device. Results show that although data transfers can impose overheads, cloud offloading from a local machine can still achieve promising speedups for larger granularity: up to 115x in 256 cores for the 2MM benchmark using 1GB sparse matrices.

On-GPU Thread-Data Remapping for Branch Divergence Reduction

To achieve runtime on-the-spot branch divergence reduction, we propose the first on-GPU thread-data remapping scheme. Before kernel launching, our solution inserts codes into GPU kernels immediately before each target branch so as to acquire actual divergence information. Threads can be remapped to data multiples times during single kernel execution. We propose two on-GPU thread-data remapping algorithms. Effective on two generations of GPUs from NVIDIA and AMD, our solution achieves speedups up to 2.718 with third-party benchmarks. We also implement three GPGPU frontier benchmarks and show that our solution works better than the traditional one.

LAPPS: Locality-Aware Productive Prefetching Support for PGAS

Prefetching is a well-known technique to mitigate scalability challenges in the PGAS model. It has been studied as either an automated compiler optimization or a manual programmer optimization. Using the PGAS locality awareness, we define a hybrid tradeoff. Specifically, we introduce LAPPS: Locality-Aware Productive Prefetching Support for PGAS. Our novel, user-driven approach strikes a balance between the ease-of-use of compiler-based automated prefetching and the high performance of the laborous manual prefetching. Our prototype implementation in Chapel shows that significant scalability and performance improvements can be achieved with minimal effort in common applications.

An alternative TAGE-like conditional branch predictor

TAGE is one of the most accurate conditional branch predictors known today. However, TAGE does not exploit its input information perfectly, as it is possible to obtain significant prediction accuracy improvements by complementing TAGE with a statistical corrector using the same input information. This paper proposes an alternative TAGE-like predictor making statistical correction practically superfluous.

Global Dead-Block Management for Task-Parallel Programs

Task-parallel programs inefficiently utilize the cache hierarchy due to the presence of dead blocks in caches. Dead blocks may occupy cache space in multiple cache levels for a long time without providing any utility until they are finally evicted. Existing dead-block prediction schemes take decisions locally for each cache level and do not efficiently manage the entire cache hierarchy. This paper introduces runtime-orchestrated global dead-block management in which static and dynamic information about tasks available to the run-time system is used to effectively detect and manage dead blocks across the cache hierarchy.

Performance Tuning and Analysis for Stencil-Based Applications on POWER8 Processor

In this paper, we first demonstrate how to combine the general tuning techniques with the POWER8 hardware architecture through optimizing three representative stencil benchmarks, and then employ two typical real-world applications (similar kernels of the winner program of Gordon Bell Prize 2016 and 2017) to illustrate how to make proper algorithm modifications and fully combine the hardware-oriented tuning strategies with the application algorithms. As a result, this work fills the gap between hardware capability and software performance of the POWER8 processor, and provides useful guidance for optimizing stencil-based scientific applications on POWER systems.

Software-directed Techniques for Improved GPU Register File Utilization

GPUs require substantial hardware resources to hold the state of a massive number of simultaneously executing threads. While GPU register files are already enormous, reaching capacities of 256KB per streaming multiprocessor (SM), we find that nearly half of real-world applications we examined are register-bound, and would benefit from a larger register file to enable more concurrent threads. Our paper demonstrates three approaches to better utilize GPU register files and shows that that while any one approach may fail to free very many registers, together they synergistically free enough registers to launch additional parallel work.

AVPP: Address-first Value-next Predictor with Value Prefetching for Improving the Efficiency of Load Value Prediction

Value prediction improves instruction level parallelism in superscalar processors by breaking true data dependencies. Despite this technique can significantly improve overall performance, most of the approaches achieve that at the cost of a high hardware cost. Our work tries to reduce the complexity of value prediction by optimizing the prediction infrastructure for predicting only load instructions and leveraging existent hardware in modern processors. Also, we propose a new load value predictor that outperforms all the state-of-the-art predictors, and with very low cost. Moreover, we propose a new taxonomy for the different policies that can be used in value prediction.

Toward kilo-instruction processors

Software-controlled fault tolerance

Virtual machine showdown: Stack versus registers

Design of the Java HotSpot™ client compiler for Java 6

Non-monopolizable caches: Low-complexity mitigation of cache side channel attacks

When Prefetching Works, When It Doesn’t, and Why

Polyhedral parallel code generation for CUDA

The McPAT Framework for Multicore and Manycore Architectures: Simultaneously Modeling Power, Area, and Timing

An Evaluation of High-Level Mechanistic Core Models

Temperature-aware microarchitecture: Modeling and implementation

Bibliometrics

Publication Years 2004-2018
Publication Count 587
Citation Count 2501
Available for Download 587
Downloads (6 weeks) 2867
Downloads (12 Months) 26164
Downloads (cumulative) 238514
Average downloads per article 406
Average citations per article 4
First Name Last Name Award
Sarita Adve ACM Fellows (2010)
Iris Bahar ACM Distinguished Member (2012)
Laxmi Bhuyan ACM Fellows (2000)
Douglas C Burger ACM Fellows (2010)
ACM Distinguished Member (2008)
ACM Senior Member (2006)
Martin Burtscher ACM Distinguished Member (2014)
ACM Senior Member (2006)
John B Carter ACM Senior Member (2015)
Henri-Pierre Charles ACM Senior Member (2018)
Jason Cong ACM Fellows (2008)
William Dally ACM-IEEE CS Eckert-Mauchly Award (2010)
ACM Fellows (2002)
Jack Davidson ACM Fellows (2008)
Bronis R. De Supinski ACM Senior Member (2016)
ACM Gordon Bell Prize (2006)
Srinivas Devadas ACM Fellows (2014)
Michel Dubois ACM Fellows (2005)
Nikil D. Dutt ACM Fellows (2014)
ACM Distinguished Member (2007)
Lieven Eeckhout ACM Senior Member (2016)
Joel Emer ACM-IEEE CS Eckert-Mauchly Award (2009)
ACM Fellows (2004)
Michael Franz ACM Fellows (2015)
ACM Distinguished Member (2006)
Guang Gao ACM Fellows (2007)
Phillip B Gibbons ACM Fellows (2006)
Rajesh Gupta ACM Fellows (2016)
Rajiv Gupta ACM Fellows (2009)
Mary W Hall ACM Distinguished Member (2010)
Tim Harris ACM Senior Member (2007)
Maurice Herlihy ACM Fellows (2005)
Mark Hill ACM Fellows (2004)
Mark A Horowitz ACM Fellows (2003)
Hiroshi Inoue ACM Senior Member (2017)
Mary Jane Irwin ACM Athena Lecturer Award (2010)
ACM Distinguished Service Award (2005)
ACM Fellows (1996)
Ravishankar Iyer ACM Fellows (2001)
Norman Jouppi ACM-IEEE CS Eckert-Mauchly Award (2015)
ACM Fellows (2006)
David R Kaeli ACM Distinguished Member (2014)
Stephen Keckler ACM Fellows (2011)
ACM Senior Member (2006)
ACM Grace Murray Hopper Award (2003)
Nectarios Koziris ACM Senior Member (2009)
Christoforos Kozyrakis ACM Fellows (2016)
ACM Senior Member (2007)
Chandra Krintz ACM Senior Member (2009)
Sriram Krishnamoorthy ACM Senior Member (2016)
Jesus Labarta ACM-IEEE CS Ken Kennedy Award (2017)
Gabriel H Loh ACM Fellows (2017)
ACM Distinguished Member (2014)
ACM Senior Member (2009)
Sharad Malik ACM Fellows (2014)
Margaret Martonosi ACM Fellows (2009)
Sally A. McKee ACM Senior Member (2013)
Andreas Moshovos ACM Fellows (2017)
ACM Senior Member (2011)
Todd C Mowry ACM Fellows (2016)
Trevor Mudge ACM Fellows (2016)
ACM-IEEE CS Eckert-Mauchly Award (2014)
Shubu Mukherjee ACM Fellows (2011)
ACM Distinguished Member (2009)
Onur Mutlu ACM Fellows (2017)
ACM Senior Member (2013)
Walid Najjar ACM Distinguished Member (2015)
ACM Senior Member (2014)
Vijaykrishnan Narayanan ACM Fellows (2014)
David Padua ACM Fellows (2007)
Leo Porter ACM Senior Member (2017)
Milos Prvulovic ACM Senior Member (2009)
Lawrence Rauchwerger ACM Distinguished Member (2014)
Vivek Sarkar ACM Fellows (2008)
ACM Distinguished Member (2006)
Robert Schreiber ACM Fellows (2012)
ACM Distinguished Member (2006)
Martin Schulz ACM Gordon Bell Prize (2006)
Andre Seznec ACM Fellows (2016)
Kevin Skadron ACM Fellows (2015)
ACM Distinguished Member (2010)
ACM Senior Member (2007)
Mary Lou Soffa ACM-IEEE CS Ken Kennedy Award (2012)
ACM Fellows (1999)
Leonel Sousa ACM Distinguished Member (2015)
ACM Senior Member (2009)
J. Gregory Steffan ACM Senior Member (2009)
Per O Stenstrom ACM Fellows (2008)
Subhash Suri ACM Fellows (2010)
ACM Distinguished Member (2007)
Josep Torrellas ACM Fellows (2010)
Dean Tullsen ACM Fellows (2011)
Mateo Valero ACM Distinguished Service Award (2012)
ACM-IEEE CS Eckert-Mauchly Award (2007)
ACM Fellows (2002)
Hans Vandierendonck ACM Senior Member (2013)
Stamatis Vassiliadis ACM Fellows (2004)
Richard W. Vuduc ACM Gordon Bell Prize
Performance (2010) ACM Gordon Bell Prize
Performance (2010)
David Whalley ACM Distinguished Member (2009)
ACM Senior Member (2009)
David A Wood ACM Fellows (2005)
Andreas Zeller ACM Fellows (2010)
Lixia Zhang ACM Fellows (2006)
Huiyang Zhou ACM Senior Member (2011)
Yuanyuan Zhou ACM Fellows (2013)
ACM Distinguished Member (2011)
Yuanyuan Zhou ACM Fellows (2013)
ACM Distinguished Member (2011)

First Name Last Name Paper Counts
Lieven Eeckhout 19
André Seznec 11
Rajiv Gupta 9
Yuan Xie 8
Stijn Eyerman 8
Bruce Childers 7
Michael O'Boyle 7
Kevin Skadron 7
Mateo Valero 7
Antonio González 7
Margaret Martonosi 7
Norman Jouppi 6
Henk Corporaal 6
Adrián Cristal 6
Jingling Xue 6
David Gregg 6
Pen Yew 6
Antonia Zhai 6
Yan Solihin 5
Tor Aamodt 5
Haitham Akkary 5
Timothy Sherwood 5
Jun Yang 5
Shlomo Weiss 5
Weichung Hsu 5
Louis Pouchet 5
Christian Wimmer 5
Laxmi Bhuyan 5
Osman Ünsal 5
James Tuck 5
David Whalley 5
Prasad Kulkarni 5
Jaume Abella 5
Onur Mutlu 5
Ponnuswamy Sadayappan 4
Jack Davidson 4
Daniel Jiménez 4
Olivier Temam 4
Antoniu Pop 4
Oğuz Ergin 4
Albert Cohen 4
Milos Prvulovic 4
Miquel Moretó 4
Mahmut Kandemir 4
Bronis De Supinski 4
Sarita Adve 4
David Wood 4
Christos Kozyrakis 4
Chengyong Wu 4
Francisco Cazorla 4
Yu Du 4
Marco Santambrogio 4
Pierre Michaud 4
María Garzarán 4
Hans Vandierendonck 4
Aamer Jaleel 4
Dmitry Ponomarev 4
Timothy Jones 4
Mateo Valero 4
David Brooks 4
Josep Torrellas 3
Walid Najjar 3
Chialin Yang 3
Shuangde Fang 3
Per Stenström 3
Ramón Doallo 3
José Llabería 3
Youtao Zhang 3
Zheng Wang 3
Ran Ginosar 3
Rami Melhem 3
Wim Heirman 3
Chandra Krintz 3
Bjorn De Sutter 3
Prashant Nair 3
Christophe Dubach 3
Marcelo Cintra 3
Daniel Mossé 3
Avi Mendelson 3
Fabrice Rastello 3
Stefanos Kaxiras 3
José García 3
Rubén Titos-Gil 3
Nael Abu-Ghazaleh 3
Biswabandan Panda 3
Ramesh Karri 3
Sriram Krishnamoorthy 3
Frank Mueller 3
Alberto Ros 3
Mary Soffa 3
Michael Franz 3
Jue Wang 3
Hanspeter Mössenböck 3
Wei Tong 3
Xiangyu Dong 3
Víctor Viñals 3
John Cavazos 3
Miao Zhou 3
David Tarjan 3
Kim Hazelwood 3
Francky Catthoor 3
Moinuddin Qureshi 3
Jingning Liu 3
Wengfai Wong 3
Yosi Asher 3
Todd Mowry 3
Lizy John 3
Basilio Fraguela 3
Ioannis Papaefstathiou 3
Paolo Ienne 3
Mikel Luján 3
Jose Renau 3
Naveen Muralimanohar 3
Yunji Chen 3
Michael Jantz 3
Michael Spear 3
Jennifer Sartor 3
David August 2
Poovaiah Palangappa 2
Huiyang Zhou 2
Pavlos Mattheakis 2
Ricardo Dias 2
Simon Steely 2
Sanyam Mehta 2
Anurag Negi 2
Yingwei Luo 2
Mike Mantor 2
Jianjun Li 2
Jason Hiser 2
Alex Ramírez 2
Abhishek Bhattacharjee 2
Joel Emer 2
Yiannakis Sazeides 2
Maximilien Breughe 2
Daniel Jiménez-González 2
Yong Li 2
Thomas Conte 2
Cedric Nugteren 2
Petar Radojković 2
Grigori Fursin 2
Michela Becchi 2
Edwin Bonilla 2
Li Zhao 2
Changhui Lin 2
Motohiro Kawahito 2
Zhibin Yu 2
Xiaofei Liao 2
Gennady Pekhimenko 2
Rupesh Nasre 2
Soojung Ryu 2
Erven Rohou 2
Karthikeyan Sankaralingam 2
Madhu Mutyam 2
George Matheou 2
Kai Huang 2
José Martínez 2
Sebastian Hack 2
Erik Hagersten 2
Alex Jones 2
Chrysostomos Nicopoulos 2
Yuanjie Huang 2
Lishiuan Peh 2
Guyeon Wei 2
Betul Buyukkurt 2
Milan Pavlovic 2
Jorge Albericio 2
Amanieu D'Antras 2
Shashidhar Mysore 2
Juan Aragón 2
Stefan Brunthaler 2
V Nandivada 2
Kiyoung Choi 2
Jin Lin 2
Neil Vachharajani 2
Ramaswamy Govindarajan 2
Daniele De Sensi 2
Ron Gabor 2
Dean Tullsen 2
Gagan Agrawal 2
Ben Juurlink 2
Carlos Álvarez 2
Jagannathan Ramanujam 2
Magnus Själander 2
Amir Ashouri 2
Michael Smith 2
Tulika Mitra 2
Yunheung Paek 2
Sameer Kulkarni 2
Angeliki Kritikakou 2
Yiannakis Sazeides 2
Philippe Clauss 2
Ahmad Anbar 2
Leonid Yavits 2
Karine Heydemann 2
Mary Hall 2
Jawad Haj-Yihia 2
Ahmad Yasin 2
Oliverio Santana 2
Yuanshin Hwang 2
Peng Liu 2
Chenggang Wu 2
Jason Loew 2
Jason Cong 2
Kenzo Van Craeynest 2
Vasilios Kelefouras 2
Xiangyu Dong 2
Kiyoung Choi 2
Ghassan Shobaki 2
Mark Horowitz 2
Xuejun Yang 2
Hugh Leather 2
Scott Mahlke 2
Mingyu Chen 2
Min Feng 2
Zhiying Wang 2
Chuntao Jiang 2
Eduard Ayguadé 2
Vassilis Papaefstathiou 2
Tinfook Ngai 2
Hao Luo 2
Kartik Mohanram 2
Paraskevas Evripidou 2
Sreenivas Subramoney 2
Hwansoo Han 2
David Kaeli 2
Dongliang Xiong 2
Jörg Henkel 2
Gabriel Loh 2
William Hasenplaugh 2
Wenjia Ruan 2
Venmugil Elango 2
Gianluca Palermo 2
Nathanael Premillieu 2
Manuel Acacio 2
Sven Verdoolaege 2
Banit Agrawal 2
Jacob Leverich 2
Preeti Panda 2
Quan Chen 2
Komal Jothi 2
Yuanyuan Zhou 2
John Kim 2
William Dally 2
Hamid Sarbazi-Azad 2
Morteza Kafshdooz 2
Alireza Ejlali 2
Uday Bondhugula 2
Xiaobing Feng 2
Eric Hein 2
Ioannis Sourdis 2
Karthik Sankaranarayanan 2
Xiaowen Jiang 2
Frederic Chong 2
Manlap Li 2
Soomook Moon 2
Bin Ren 2
Glenn Reinman 2
Xueyang Wang 2
Qixiao Liu 2
Amir Morad 2
Roy Ju 2
Ibrahim Hur 2
Davide Bartolini 2
Ram Rangan 2
George Patsilaras 2
Massimo Torquati 2
Guru Venkataramani 2
Dan Feng 2
Cecilia González-Álvarez 2
Mark Hempstead 2
Cosmin Gorgovan 2
Ravishankar Iyer 2
Shuaiwenleon Song 2
Kishore Pusukuri 2
Yang Chen 2
Mary Irwin 2
Doug Simon 2
Farrukh Hijaz 2
Somayeh Sardashti 2
John Kubiatowicz 2
Rachid Seghir 2
Vincent Loechner 2
Marco Danelutto 2
Diego Andrade 2
Philippe Navaux 2
Xiaolang Yan 2
Mauricio Álvarez-Mesa 2
Yangchun Luo 2
Mageda Sharafeddine 2
Gautham Beeraka 2
Xipeng Shen 2
Amit Golander 2
Todd Austin 2
Sally McKee 2
Joseph Sharkey 2
Pablo Ibáñez 2
Bart Coppens 2
Hyesoon Kim 2
Jungho Ahn 2
Costas Goutis 2
Per Larsen 2
Björn Franke 2
Chuanjun Zhang 2
Rajkishore Barik 2
Erik Tomusk 2
David Roberts 2
Vijay Nagarajan 2
Olivier Serres 2
Tarek El-Ghazawi 2
Arun Kanuparthi 2
Zheng Li 2
Yulong Ao 2
Chao Yang 2
Trevor Carlson 2
Omer Khan 2
Andi Drebes 2
Chen Ding 2
Jacob Brock 2
Guang Gao 2
Dimitrios Nikolopoulos 2
Junwhan Ahn 2
Fang Wang 2
Yujung Cheng 1
Yazhuo Dong 1
Hongjian Li 1
Najm Rmaileh 1
Jungho Ahn 1
Libo Huang 1
Li Tan 1
Mohammad Arjomand 1
Dimitrios Chasapis 1
Jesús Labarta 1
Francisco Gaspar 1
Dingyong Hong 1
Carlo Sicignano 1
Smruti Sarangi 1
Tomi Äijö 1
Seonwook Kim 1
ShuMing Chen 1
Konstantinos Parasyris 1
Márcio Pereira 1
Arthur Perais 1
Irshad Pananilath 1
Bharath Swamy 1
Hsiangyun Cheng 1
Robin Paul 1
Rajesh Gupta 1
Miquel Pericàs 1
Luca Colombo 1
Benjamin Lee 1
Dan Feng 1
Haitao Zhao 1
Dee Weikle 1
Filippo Sironi 1
Ravi Kasha 1
Chencheng Ye 1
Steven Hofmeyr 1
Adarsh Patil 1
Christophe Alias 1
Tiziano De Matteis 1
Xiaodong Li 1
Wilson Fung 1
Srinivas Devadas 1
Rafael Ubal 1
Fernando Fernandes 1
Cláudiorosito Jung 1
Saurav Muralidharan 1
Yan Cui 1
Yingxin Wang 1
Yi Yang 1
Ping Xiang 1
Buse Yılmaz 1
Michael Huang 1
Sule Ozev 1
Michael Goesele 1
Koen Bertels 1
Ramadass Nagarajan 1
Jaehyuk Huh 1
Amin Firoozshahian 1
Wes Masri 1
Richard Vuduc 1
Qingbo Wu 1
Srimat Chakradhar 1
Hans Graf 1
Xuehai Zhou 1
Xiaoning Nie 1
Anshul Kumar 1
Mehrzad Samadi 1
Amir Hormati 1
Yong Li 1
Feng Qin 1
Frank Vahid 1
Xi Chen 1
Marios Kleanthous 1
Kueichung Chang 1
Yong Dou 1
Chengzhong Xu 1
Santanu Chattopadhyay 1
Samira Khan 1
Rafael Possignolo 1
Susmit Sarkar 1
Amir Yazdanbakhsh 1
Pangfeng Liu 1
Aravind Sukumaran-Rajam 1
Riccardo Cattaneo 1
Iliano Cervesato 1
Youngsun Han 1
ShengGang Chen 1
Hiroyuki Usui 1
Vassilis Vassiliadis 1
Dongwoo Lee 1
Breno Guimarães 1
Péricles Alves 1
Michael Huang 1
Robert Seepers 1
George Tzenakis 1
Kingtin Lam 1
Xiaofei Liao 1
Hai Jin 1
Weijie Zheng 1
Mohammadamin Ajdari 1
Jangwoo Kim 1
Stéphane Huot 1
Namhyung Kim 1
Ankit More 1
Abdel Badawy 1
Christian Andreetta 1
Giovanni Mariani 1
Andreas Prodromou 1
HanBin Yoon 1
Luca Gallo 1
Hong Jiang 1
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Eri Rubin 1
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Brian Railing 1
Mustafa Shihab 1
Tony Field 1
Abhinav Vishnu 1
David Lowenthal 1
Salvatore Galfano 1
Cristian Zambelli 1
Emilio Zapata 1
Seda Memik 1
Gokhan Memik 1
Rajarshi Mukherjee 1
Hai Jin 1
Matteo Ferroni 1
Erik Sintorn 1
Jaime Arteaga 1
Alexandru Plesco 1
Guoqing Xu 1
Yifan Sun 1
Luigi Carro 1
Hyukwoo Park 1
Lars Bauer 1
Zhonghai Lu 1
Riad Akram 1
Michel, Dubois 1
Eric Petit 1
Nikil Dutt 1
John Byrne 1
Laura Ramirez 1
Michael Andersch 1
Chienchi Chen 1
Dyer Rolán 1
Carl Beckmann 1
Cyriel Minkenberg 1
Yujie Liu 1
Lingmei Weng 1
Vesna Smiljković 1
Zhe Wang 1
Junli Gu 1
Yiran Chen 1
Bing Liu 1
Hyunggyu Lee 1
Jack Sampson 1
Kelly Shaw 1
Aravind Acharya 1
Vinay Vasista 1
Thomas Würthinger 1
Vinay Gangadhar 1
Myoungsoo Jung 1
Songchun Fan 1
Probir Roy 1
Brian Fields 1
Jaydeep Marathe 1
Barry Rountree 1
Rakesh Kumar 1
PAOLO Prinetto 1
Venkata Tavva 1
Andrea Corna 1
Andrea Damiani 1
Alexandra Angerd 1
Ramyad Hadidi 1
Lifeng Nai 1
Edmund Lai 1
Ioannis Doudalis 1
Ivan Sham 1
Qingchuan Shi 1
Yenai Ma 1
Ajay Joshi 1
Paolo Rech 1
Saumay Dublish 1
Yu Hua 1
Ismail Akturk 1
João Lourenço 1
Mehmet Kurt 1
Avi Mendelson 1
Thomas Puzak 1
Allan Hartstein 1
Hungwei Tseng 1
Alvin Lebeck 1
Beayna Grigorian 1
Mihail Popov 1
William Jalby 1
Zhao Zhang 1
Ehsan Totoni 1
Andrei Hagiescu 1
Sergei Dyshel 1
Marcel Zalmanovici 1
Bernhard Egger 1
Sushant Kondguli 1
Wenlai Zhao 1
Atieh Lotfi 1
Kaiming Jiang 1
Arjun Suresh 1
Ziliang Guo 1
Luca Benini 1
Nicolai Stawinoga 1
Yu Hua 1
Zhipeng Tan 1
Chengning Wang 1
Bing Wu 1
Matthew Olson 1
Dipanjan Sengupta 1
Ahsen Ejaz 1
Martin Burtscher 1
Ilya Ganusov 1
Michele Co 1
Chris Bentley 1
Eladio Gutiérrez 1
Guilherme Ottoni 1
Davide Patti 1
Koen De Bosschere 1
Brad Calder 1
Tom Spink 1
Myungsu Cha 1
Nikolaos Tampouratzis 1
Sudheer Chunduri 1
Albert Sidelnik 1
Yuan Yao 1
Mohammad Islam 1
Ulya Karpuzcu 1
Tiago Vale 1
João Silva 1
Ragavendra Natarajan 1
Andrea Mondelli 1
Sheng Li 1
Eren Kursun 1
Ning Weng 1
Jishen Zhao 1
Juan Cebrián 1
Yingying Tian 1
Myeongjae Jeon 1
Conglong Li 1
Shuchang Shan 1
Naznin Fauzia 1
Haewoo Park 1
José Castaños 1
Seongseok Seo 1
Bo Zhao 1
Kyuseung Han 1
Wei Zhang 1
Yuan Ruan 1
Chiachen Chou 1
Thomas Carle 1
Pin Zhou 1

Affiliation Paper Counts
City University of Hong Kong 1
LSI Corporation 1
Korean Agency for Defense Development 1
University of Illinois 1
San Diego State University 1
Purdue University 1
Cray Inc. 1
Macronix International Co 1
University of Notre Dame 1
Universidad Carlos III de Madrid 1
Democritus University of Thrace 1
NXP Semiconductors 1
Universite de Lyon 1
Ecole Nationale Superieure de Techniques Avancees 1
Feng Chia University 1
Wayne State University 1
University of Auckland 1
Gwangju Institute of Science and Technology 1
Verimag 1
National Climate Center Beijing 1
Chang Gung University 1
University of Michigan 1
Freescale Semiconductor 1
Hewlett-Packard Inc. 1
Synopsys Incorporated 1
Furman University 1
STMicroelectronics 1
Shanghai University of Engineering Science 1
University of Richmond 1
University of Bologna 1
Washington University in St. Louis 1
IBM, Netherlands 1
Universidad Catolica de Murcia 1
Colorado School of Mines 1
University of Washington, Seattle 1
University of Massachusetts Lowell 1
New York University Abu Dhabi 1
Massey University 1
VMware, Inc 1
University of Qatar 1
Facebook, Inc. 1
Swiss Federal Institute of Technology, Zurich 1
The University of North Carolina System 1
National Taiwan University of Science and Technology 1
Universite Hadj Lakhdar de Batna 1
Universidade de Lisboa 1
Universitat Rovira i Virgili 1
National Chi Nan University 1
Huawei Technologies Co., Ltd. 1
US Naval Academy 1
Lawrence Berkeley National Laboratory 1
Google Switzerland GmbH 1
Kyungil University 1
University of Massachusetts System 1
Universite de Rennes 1 1
West Virginia University 1
University of Missouri System 1
Erasmus University Medical Center 1
LG Electronics, Korea 1
Tufts University 1
Texas A and M University at Qatar 1
Los Alamos National Laboratory 1
Bauhaus University Weimar 1
Friedrich Schiller University Jena 1
Assured Information Security, Inc. 1
IBM Research, Ireland 1
Oregon State University 1
Carnegie Mellon University in Qatar 1
National University of Sciences and Technology Pakistan 1
Bilkent University 1
Daegu University 1
University of Bern 1
East China Normal University 1
National Taiwan Ocean University 1
Sungkyunkwan University 1
Singapore Polytechnic 1
Qualcomm Incorporated 1
University of Amsterdam 1
Tianjin University of Technology 1
University of Rhode Island 1
University of Missouri-Kansas City 1
Birla Institute of Technology and Science Pilani 1
University of St Andrews 1
Chongqing University 1
Federal University of Santa Catarina 1
Chinese University of Hong Kong 1
Colorado State University 1
University of Texas at Dallas 1
Federal University of Uberlandia 1
National Tsing Hua University 1
University of Hagen 2
Southwest China Normal University 2
University of Cambridge 2
International Institute of Information Technology Hyderabad 2
Beijing University of Technology 2
Altera Corporation 2
Boston University 2
Royal Institute of Technology 2
Technical University of Denmark 2
Technical University of Darmstadt 2
IBM Toronto Software Lab 2
University of Nevada, Las Vegas 2
Sejong University 2
Linkoping University 2
Korea University 2
Intel Corporation, Belgium 2
University of Central Florida 2
Columbia University 2
University of Naples Federico II 2
Microsoft Corporation 2
INRIA Rocquencourt 2
San Diego Supercomputer Center 2
Vienna University of Technology 2
Bogazici University 2
Commissariat a L'Energie Atomique CEA 2
IBM Ireland Limited 2
University of Sao Paulo 2
Catholic University of Leuven, Leuven 2
Tianjin University 2
University of Innsbruck 2
University of Nebraska - Lincoln 2
Blekinge Institute of Technology 2
Iranian Research Institute for Fundamental Sciences 2
Indian Institute of Technology, Kharagpur 2
Vrije Universiteit Brussel 2
University of Porto 2
MIT Lincoln Laboratory 2
Princess Sumaya University 2
National Key Laboratory for Parallel and Distributed Processing 2
INRIA Saclay 2
Technical University of Dresden 2
Ecole des Mines de Paris 2
Google Inc. 3
University of Pennsylvania 3
National Technical University of Athens 3
Federal University of Rio Grande do Sul 3
SRI International 3
University of Louisiana at Lafayette 3
Lancaster University 3
Norwegian University of Science and Technology 3
Sun Microsystems 3
IBM, USA 3
University of Massachusetts Amherst 3
Complutense University of Madrid 3
Iowa State University 3
University of Catania 3
Michigan Technological University 3
Universidad de Santiago de Compostela 3
University of Ferrara 3
University of Arizona 3
University of Bristol 3
Sandia National Laboratories, New Mexico 3
Ecole Normale Superieure de Lyon 3
Faculdade de Ciencias e Tecnologia, New University of Lisbon 3
Academia Sinica Taiwan 3
Brown University 3
Technological Education Institute-Crete 3
Universite de Versailles Saint-Quentin-en-Yvelines 3
Louisiana State University 3
Lawrence Livermore National Laboratory 3
Shenzhen Institute of Advanced Technology 3
Thales Research and Technology 3
Ozyegin University 3
INSA Lyon 3
Universite Paris Sorbonne - Paris IV 4
ARM Ltd. 4
Rutgers, The State University of New Jersey 4
Microsoft Research 4
University of Passau 4
Federal University of Minas Gerais 4
Jiangnan University 4
University of Texas at San Antonio 4
CSIC - Instituto de Investigacion en Inteligencia Artificial 4
National Cheng Kung University 4
Universidad de Malaga 4
University of Toronto 4
National Chung Cheng University 4
University of Southern California, Information Sciences Institute 4
Drexel University 4
The University of Georgia 4
Indian Institute of Technology, Kanpur 4
Intel Technology India Pvt Ltd. 4
University of Science and Technology of China 4
Simula Research Laboratory 4
King Fahd University of Petroleum and Minerals 4
Lero - The Irish Software Engineering Research Centre 4
Samsung Group 4
Northwestern University 4
Australian National University 4
Pohang University of Science and Technology 4
Technical University of Munich 4
Polytechnic Institute of Turin 4
Hebrew University of Jerusalem 4
University of Haifa 5
IBM Zurich Research Laboratory 5
Southern Illinois University at Carbondale 5
University of Thessaly 5
University of Florida 5
Tampere University of Technology 5
IBM Thomas J. Watson Research Center 5
University of Tennessee, Knoxville 5
University of Connecticut 5
NEC Laboratories America, Inc. 5
Universite Grenoble Alpes 5
TOBB University of Economics and Technology 5
University of Southern California 5
New York University 6
Uppsala University 6
NVIDIA 6
Rice University 6
The College of William and Mary 6
National Chiao Tung University Taiwan 6
Pacific Northwest National Laboratory 6
University of Copenhagen 6
Arizona State University 6
Universidad Politecnica de Valencia 6
Korea Advanced Institute of Science & Technology 6
IBM Austin Research Laboratory 6
University of California System 6
University of Kansas Lawrence 6
Massachusetts Institute of Technology 6
University of Cantabria 6
Technical University of Berlin 7
Delft University of Technology 7
Instituto Superior Tecnico 7
Technical University of Crete 7
University of Twente 7
Indian Institute of Technology, Delhi 7
University of California, Santa Cruz 7
Universite de Strasbourg 7
Georgia Institute of Technology, School of Electrical and Computer Engineering 7
IBM, Japan 7
Imperial College London 7
Swiss Federal Institute of Technology, Lausanne 7
University of California, Davis 7
The University of Hong Kong 7
Lehigh University 8
Duke University 8
Yonsei University 8
University of Patras 8
University of Pisa 8
Johannes Kepler University Linz 8
Samsung Electronics Co. Ltd. 8
Northeastern University 8
Saarland University 9
University of California, San Diego 9
IBM Research 9
University of Utah 9
George Washington University 9
Advanced Micro Devices, Inc. 9
RWTH Aachen University 9
Karlsruhe Institute of Technology 9
University of Dublin, Trinity College 9
University of California, Berkeley 9
The University of British Columbia 10
Universidad de A Coruna 10
University of New South Wales 10
Sharif University of Technology 10
Tel Aviv University 10
Texas A and M University 10
Peking University 10
Technion - Israel Institute of Technology 10
Ecole Normale Superieure 11
Queen's University Belfast 11
University of Minnesota System 11
Zhejiang University 11
University of California, Los Angeles 11
Indian Institute of Technology, Madras 11
National University of Singapore 11
Cornell University 11
Florida State University 12
Huazhong University of Science and Technology 12
University Michigan Ann Arbor 12
University of Delaware 12
Universidad de Zaragoza 12
Harvard University 13
Indian Institute of Science, Bangalore 13
Binghamton University State University of New York 13
INRIA Institut National de Rechereche en Informatique et en Automatique 14
Universidad de Murcia 14
University of Rochester 14
University of Minnesota Twin Cities 14
Eindhoven University of Technology 14
National Taiwan University 15
American University of Beirut 15
Tsinghua University 16
HP Labs 17
University of Cyprus 17
University of Texas at Austin 17
University of Manchester 17
University of California, Irvine 18
Shanghai Jiaotong University 19
Chalmers University of Technology 19
Institute of Computing Technology Chinese Academy of Sciences 20
Institute for Research in IT and Random Systems 20
University of Wisconsin Madison 21
Ohio State University 22
Wuhan National Laboratory for Optoelectronics 22
Carnegie Mellon University 23
University of California, Santa Barbara 24
Stanford University 25
Pennsylvania State University 27
Politecnico di Milano 28
Princeton University 28
Georgia Institute of Technology 30
University of Illinois at Urbana-Champaign 30
National University of Defense Technology China 32
Seoul National University 33
North Carolina State University 34
University of Virginia 36
Barcelona Supercomputing Center 36
University of Edinburgh 37
University of California, Riverside 41
Chinese Academy of Sciences 43
University of Pittsburgh 49
Universitat Politecnica de Catalunya 51
Ghent University 55
Intel Corporation 67
 
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