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Programming Heterogeneous Systems from an Image Processing DSL

Specialized image processing accelerators are necessary to deliver the performance and energy efficiency required by important applications in... (more)

Dirty-Block Tracking in a Direct-Mapped DRAM Cache with Self-Balancing Dispatch

Recently, processors have begun integrating 3D stacked DRAMs with the cores on the same package, and there have been several approaches to effectively... (more)

Significance-Aware Program Execution on Unreliable Hardware

This article introduces a significance-centric programming model and runtime support that sets the supply voltage in a multicore CPU to sub-nominal... (more)

DawnCC

Directive-based programming models, such as OpenACC and OpenMP, allow developers to convert a sequential program into a parallel one with minimum human intervention. However, inserting pragmas into production code is a difficult and error-prone task, often requiring familiarity with the target... (more)

CACTI 7

Historically, server designers have opted for simple memory systems by picking one of a few commoditized DDR memory products. We are already witnessing a major upheaval in the off-chip memory hierarchy, with the introduction of many new memory products—buffer-on-board, LRDIMM, HMC, HBM, and NVMs, to name a few. Given the plethora of choices,... (more)

Scratchpad Sharing in GPUs

General-Purpose Graphics Processing Unit (GPGPU) applications exploit on-chip scratchpad memory available in the Graphics Processing Units (GPUs) to improve performance. The amount of thread level parallelism (TLP) present in the GPU is limited by the number of resident threads, which in turn depends on the availability of scratchpad memory in its... (more)

Decoupling Data Supply from Computation for Latency-Tolerant Communication in Heterogeneous Architectures

In today’s computers, heterogeneous processing is used to meet performance targets at... (more)

An Integrated Vector-Scalar Design on an In-Order ARM Core

In the low-end mobile processor market, power, energy, and area budgets are significantly lower than in the server/desktop/laptop/high-end mobile... (more)

On the Interactions Between Value Prediction and Compiler Optimizations in the Context of EOLE

Increasing instruction-level parallelism is regaining attractiveness within the microprocessor... (more)

Band-Pass Prefetching

In multi-core systems, an application’s prefetcher can interfere with the memory requests of other applications using the shared resources, such as last level cache and memory bandwidth. In order to minimize prefetcher-caused interference, prior mechanisms have been proposed to dynamically control prefetcher aggressiveness at runtime. These... (more)

Symmetry in Software Synthesis

With the surge of multi- and many-core systems, much research has focused on algorithms for mapping and scheduling on these complex platforms. Large classes of these algorithms face scalability problems. This is why diverse methods are commonly used for reducing the search space. While most such approaches leverage the inherent symmetry of... (more)

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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.

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SWITCHES: A Lightweight Runtime for Data-flow Execution of Tasks on Many-cores

SWITCHES is a task-based Data-flow runtime that implements a lightweight distributed triggering system for runtime dependency resolution, and uses static scheduling and compile-time assignment policies to reduce runtime overheads. Unlike other systems, the granularity of loop-tasks can be increased as to favor data-locality, even when having dependencies across different loops. SWITCHES introduces explicit resource allocation mechanisms for tasks to improve system utilization and adopts the latest OpenMP API, as to maintain high-levels of programming productivity. It provides a source-to-source tool that automatically produces thread-based code. Results on an Intel Xeon-Phi show an average of 32% performance increase compared to OpenMP.

Iterative Schedule Optimization for Parallelization in the Polyhedron Model

We present a method of iterative schedule optimization in the polyhedron model that targets tiling and parallelization. We can sample the search space of legal schedules at random or perform a more directed search via a genetic algorithm. For the latter, we propose a set of novel reproduction operators. We evaluate our approach against existing iterative and model-driven optimization strategies. Our approach outperforms existing optimization techniques in that it finds significantly faster schedules. We compare our genetic algorithm against random exploration. If well configured, random exploration turns out to be very profitable and reduces the lead of the genetic algorithm.

Extending Halide to Improve Software Development for Imaging DSPs

Specialized Digital Signal Processors (DSPs) play an important role in power-efficient, high-performance image processing. However, developing applications for DSPs is more time-consuming and error-prone than for general-purpose processors. Halide is a domain-specific language (DSL) which enables low-effort development of portable, high-performance imaging pipelines. We propose a set of extensions to Halide to support DSPs in combination with arbitrary C compilers, including a template solution to support scratchpad memories. Using a commercial DSP, we demonstrate that this solution can achieve performance within 20% of highly tuned C code, while leading to a reduction in development time and code complexity.

Cooperative Multi-Agent Reinforcement Learning based Co-optimization of Cores, Caches, and On-chip Network

Modern multi-core systems require efficient multiple resource allocation for optimal system EDP. Choosing between multiple optimizations at runtime is complex due to the non-additive effects. We present a novel method, Machine Learned Machines (MLM), by using Online Reinforcement Learning (RL) to perform dynamic partitioning of the LLC, along with DVFS of the core and uncore. We show that the co-optimization results in much lower system EDP than any of the techniques applied individually. The results show an average of 20.77% and 23.63% system EDP improvement on a 4-core and 16-core system respectively with limited degradation of Throughput and Fairness.

MATOG: Array Layout Auto-Tuning for CUDA

Optimal code performance is one of the most important objective in compute intensive applications. In many of these applications, GPUs are used because of their high amount of compute power. However, caused by their massively parallel architecture the code has to be specifically adjusted to the underlying hardware to achieve optimal performance and therefore has to be reoptimized for each new generation. In this paper we give an unified description of the MATOG auto-tuner, its previously published components and a series of conceptual and implementation improvements. MATOG optimizes the array access in CUDA applications, independent of their application domain.

Improving Loop Dependence Analysis

Programmers can no longer depend on new processors to have significantly improved performance. Instead, gains have to come from other sources such as the compiler and its optimization passes. Advanced passes make use of information on the dependences related to loops. We improve the quality of that information by reusing the information given by the programmer for parallelization. We have implemented a prototype based on GCC into which we also add a new optimization pass. Our approach improves the amount of correctly classified dependences resulting in 46% average improvement in single-thread performance for benchmarks compared to GCC 6.1.

Providing Predictable Performance via Slowdown Estimation Model

Inter-application interference at shared main memory slows down different applications differently. Previous memory schedulers focus on alleviating interference to improve system performance and fairness or quantifying interference to provide predictable performance, but few provide both. We propose a SlowDown-aware Memory Scheduler (SDMS). First, SDMS improves estimation accuracy by considering refresh and row-buffer interference and measuring IPC directly. Second, SDMS groups applications and allocates different bandwidth to different applications based on estimated alone MPKC. The evaluation results show that SDMS can improve harmonic speedup by 8.8% over FRFCFS and has higher estimation accuracy than MISE and STFM.

MiCOMP: Mitigating the Compiler Phase-ordering Problem using Optimization Sub-sequences and Machine Learning

This paper proposes MiCOMP: Mitigating the Compiler Phase-ordering problem using optimization sub- sequences and machine learning, an autotuning framework to effectively mitigate the compiler phase- ordering problem based on machine-learning techniques. The idea is to cluster the optimization passes of the LLVMs O3 setting into different clusters to predict the speedup of the complete-sequence of all the optimization clusters instead of having to face more than 60 different individual optimization passes. The predictive model uses (i) a platform-independent dynamic features, (ii) an encoded version of the compiler sequence and (iii) an exploration heuristic to tackle the problem.

An architecture for integrated near-data processors

To increase the performance of data-intensive applications, we present an extension to a CPU architecture which enables arbitrary near-data processing capabilities close to the main memory. This is realized by introducing a component attached to the CPU system-bus, and a component at the memory side, which together support the hardware-managed integration of near-data processing. We present an implementation of the components, as well as a system-simulator, providing detailed performance estimations. Synthetic benchmarks and the Graph500 benchmark show high inter-NDP communication bandwidths, small overhead for the proposed coherence mechanisms, and the ability to outperform a real CPU by a factor two.

Bringing Parallel Patterns out of the Corner: the P3 ARSEC Benchmark Suite

In this paper we demonstrate that pattern-based parallel programming approach is flexible enough to parallelize 12 out of 13 PARSEC applications. Our analysis, conducted on three different multi-core architectures, demonstrates that pattern-based parallel programming has reached a good level of maturity, providing comparable results in terms of performance with respect to both other parallel programming methodologies based on pragma-based annotations (i.e. openmp and ompss) and native implementations (i.e. pthreads). Regarding the programming effort, we also demonstrate a considerable improvement compared to pthreads and comparable results on other existing implementations.

HAP: Hybrid-memory-Aware Partition in Shared Last-Level Cache

Data-center servers benefit from large-capacity memory systems to run multiple processes simultaneously. Hybrid DRAM-NVM memory is attractive for increasing memory capacity by exploiting the scalability of NVM. However, current LLC policies are unaware of hybrid memory. Cache misses to NVM introduce high cost due to long NVM latency. Moreover, evicting dirty NVM data suffers from long write latency. We propose hybrid memory aware cache partitioning to dynamically adjust cache spaces and give NVM dirty data more chances to reside in LLC. Experimental results show HAP improves performance by 46.7% and reduces energy consumption by 21.9% on average against LRU management.

Efficient Generation of Compact Execution Traces for Multi-Core Architectural Simulations

Unlike execution-based simulations, trace-driven simulation can enable fast simulation of multi-core architectures. An efficient, on-the-fly high-fidelity trace generation method for multi-threaded applications is reported. The generated trace, not exceeding double the size of the original executable code, is encoded in architecture-agnostic, instruction-like binary format that can be interpreted by a timing simulator. A complete tool suite that has been developed and used for evaluation of the proposed method showed that it produces smaller traces over existing trace compression methods while retaining maximum fidelity including all threading and synchronization related events.

Toward kilo-instruction processors

IATAC: a smart predictor to turn-off L2 cache lines

Software-controlled fault tolerance

Power-performance considerations of parallel computing on chip multiprocessors

Virtual machine showdown: Stack versus registers

Design of the Java HotSpot™ client compiler for Java 6

An analysis of on-chip interconnection networks for large-scale chip multiprocessors

Polyhedral parallel code generation for CUDA

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

Temperature-aware microarchitecture: Modeling and implementation

Bibliometrics

Publication Years 2004-2017
Publication Count 527
Citation Count 2098
Available for Download 527
Downloads (6 weeks) 1937
Downloads (12 Months) 25832
Downloads (cumulative) 213117
Average downloads per article 404
Average citations per article 4
First Name Last Name Award
Sarita Adve ACM Fellows (2010)
Iris Bahar ACM Distinguished Member (2012)
Laxmi N 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)
Jason Cong ACM Fellows (2008)
William J 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)
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)
Mark Hill ACM Fellows (2004)
Mark A Horowitz ACM Fellows (2003)
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)
Sharad Malik ACM Fellows (2014)
Margaret Martonosi ACM Fellows (2009)
Sally A. McKee ACM Senior Member (2013)
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)
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 M 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
Mateo Valero 7
Kevin Skadron 7
Margaret Martonosi 7
Antonio González 7
Pen Yew 6
Jingling Xue 6
Antonia Zhai 6
David Gregg 6
Norman Jouppi 6
Adrián Cristal 6
Yan Solihin 5
Haitham Akkary 5
Jun Yang 5
Shlomo Weiss 5
Louis Pouchet 5
Weichung Hsu 5
Christian Wimmer 5
Osman Ünsal 5
Henk Corporaal 5
David Whalley 5
Laxmi Bhuyan 5
Jaume Abella 5
Timothy Sherwood 5
Onur Mutlu 5
Ponnuswamy Sadayappan 4
Jack Davidson 4
Tor Aamodt 4
Olivier Temam 4
Oğuz Ergin 4
Daniel Jiménez 4
Milos Prvulovic 4
Sarita Adve 4
James Tuck 4
Miquel Moretó 4
Christos Kozyrakis 4
Prasad Kulkarni 4
Chengyong Wu 4
Francisco Cazorla 4
María Garzarán 4
Yu Du 4
Pierre Michaud 4
Aamer Jaleel 4
Dmitry Ponomarev 4
Timothy Jones 4
David Brooks 4
Mateo Valero 4
Mikel Luján 3
Moinuddin Qureshi 3
Michael Spear 3
Jose Renau 3
Yunji Chen 3
Ramón Doallo 3
Walid Najjar 3
Jennifer Sartor 3
Shuangde Fang 3
Chialin Yang 3
Josep Torrellas 3
José Llabería 3
Chandra Krintz 3
Youtao Zhang 3
Ran Ginosar 3
Antoniu Pop 3
Zheng Wang 3
Wim Heirman 3
Rami Melhem 3
Bjorn De Sutter 3
Avi Mendelson 3
Fabrice Rastello 3
Albert Cohen 3
Marcelo Cintra 3
Stefanos Kaxiras 3
Daniel Mossé 3
José García 3
Rubén Titos-Gil 3
Christophe Dubach 3
Prashant Nair 3
Mary Soffa 3
Bronis De Supinski 3
Frank Mueller 3
Mahmut Kandemir 3
Alberto Ros 3
Ramesh Karri 3
David Wood 3
Nael Abu-Ghazaleh 3
Jue Wang 3
Víctor Viñals 3
Xiangyu Dong 3
Hanspeter Mössenböck 3
Michael Franz 3
Kim Hazelwood 3
David Tarjan 3
Marco Santambrogio 3
Miao Zhou 3
Hans Vandierendonck 3
Lizy John 3
Basilio Fraguela 3
Yosi Asher 3
Todd Mowry 3
Francky Catthoor 3
Wengfai Wong 3
Paolo Ienne 3
Ioannis Papaefstathiou 3
Naveen Muralimanohar 3
Dean Tullsen 2
Shashidhar Mysore 2
Stefan Brunthaler 2
Carlos Álvarez 2
Magnus Själander 2
Ricardo Dias 2
Leonid Yavits 2
Sanyam Mehta 2
Alex Ramírez 2
Angeliki Kritikakou 2
Jianjun Li 2
Jason Hiser 2
Yiannakis Sazeides 2
David August 2
Philippe Clauss 2
Simon Steely 2
Pavlos Mattheakis 2
Ahmad Anbar 2
Anurag Negi 2
Yingwei Luo 2
Biswabandan Panda 2
Gabriel Loh 2
Nathanael Premillieu 2
Venmugil Elango 2
Wenjia Ruan 2
Scott Mahlke 2
Tinfook Ngai 2
David Kaeli 2
Kiyoung Choi 2
Min Feng 2
Xuejun Yang 2
Hugh Leather 2
Eduard Ayguadé 2
Yiannakis Sazeides 2
Daniel Jiménez-González 2
Xueyang Wang 2
Joseph Sharkey 2
Todd Austin 2
Amit Golander 2
Diego Andrade 2
Gautham Beeraka 2
Mauricio Álvarez-Mesa 2
Jacob Leverich 2
Yang Chen 2
Li Zhao 2
Ravishankar Iyer 2
Mageda Sharafeddine 2
Yangchun Luo 2
Mary Irwin 2
Doug Simon 2
Farrukh Hijaz 2
Sally McKee 2
Pablo Ibáñez 2
Bart Coppens 2
Kishore Pusukuri 2
Philippe Navaux 2
Michela Becchi 2
Edwin Bonilla 2
Xipeng Shen 2
Yuanshin Hwang 2
Jason Loew 2
Jawad Haj-Yihia 2
Ahmad Yasin 2
Fang Wang 2
Jingning Liu 2
Oliverio Santana 2
Soojung Ryu 2
Betul Buyukkurt 2
Sebastian Hack 2
Motohiro Kawahito 2
Lishiuan Peh 2
Yuanjie Huang 2
Karthikeyan Sankaralingam 2
José Martínez 2
Changhui Lin 2
Guyeon Wei 2
Erik Hagersten 2
Erven Rohou 2
Milan Pavlovic 2
Jorge Albericio 2
Gennady Pekhimenko 2
Rupesh Nasre 2
Zhibin Yu 2
Xiaofei Liao 2
Alex Jones 2
Chrysostomos Nicopoulos 2
Amanieu D'Antras 2
Juan Aragón 2
Michael Smith 2
Ron Gabor 2
Jagannathan Ramanujam 2
Jin Lin 2
Neil Vachharajani 2
Ben Juurlink 2
Tulika Mitra 2
Yunheung Paek 2
Gagan Agrawal 2
Costas Goutis 2
Chenggang Wu 2
Peng Liu 2
Arun Kanuparthi 2
Trevor Carlson 2
Omer Khan 2
Jason Cong 2
Vijay Nagarajan 2
Erik Tomusk 2
Björn Franke 2
Mary Hall 2
Chuanjun Zhang 2
Jungho Ahn 2
Olivier Serres 2
Tarek El-Ghazawi 2
David Roberts 2
Kenzo Van Craeynest 2
Rajkishore Barik 2
Per Larsen 2
Dan Feng 2
Amir Morad 2
Xiangyu Dong 2
Roy Ju 2
Vasilios Kelefouras 2
Guru Venkataramani 2
Ram Rangan 2
Ibrahim Hur 2
Davide Bartolini 2
Michael Jantz 2
Qixiao Liu 2
Ghassan Shobaki 2
Cecilia González-Álvarez 2
Cosmin Gorgovan 2
Jörg Henkel 2
William Hasenplaugh 2
Manuel Acacio 2
Sriram Krishnamoorthy 2
Chuntao Jiang 2
Hwansoo Han 2
Sven Verdoolaege 2
Grigori Fursin 2
Yuanyuan Zhou 2
Frederic Chong 2
Cedric Nugteren 2
Wei Tong 2
Maximilien Breughe 2
Manlap Li 2
Komal Jothi 2
Xiaobing Feng 2
Karthik Sankaranarayanan 2
Abhishek Bhattacharjee 2
Quan Chen 2
Morteza Kafshdooz 2
Alireza Ejlali 2
Uday Bondhugula 2
Soomook Moon 2
Petar Radojković 2
John Cavazos 2
Joel Emer 2
Bin Ren 2
Glenn Reinman 2
Yong Li 2
Banit Agrawal 2
John Kim 2
Kévin Marquet 1
EunJung Park 1
Ehsan Totoni 1
Andrei Hagiescu 1
Ioannis Sourdis 1
Sergei Dyshel 1
Marcel Zalmanovici 1
Zhao Zhang 1
Beayna Grigorian 1
Mihail Popov 1
William Jalby 1
Naghmeh Karimi 1
Gert Van Den Braak 1
Zhenlin Wang 1
Alexandre Delbem 1
Christos Antonopoulos 1
Vishwesh Jatala 1
Vaishnav Srinivas 1
Jason Villarreal 1
Michael Boyer 1
Fang Liu 1
Jiang Zheng 1
Madhavi Valluri 1
Sriraman Tallam 1
Ritu Gupta 1
Håkan Grahn 1
Xing Zhou 1
Jan Meyer 1
Gheorghe Bercea 1
Adam Jundt 1
Kypros Constantinides 1
Eric Debes 1
Yenkuang Chen 1
Michael Kozuch 1
José Duato 1
Wei Huang 1
John Kubiatowicz 1
Mark Whitney 1
Vijay Degalahal 1
Yan Meng 1
John Carter 1
Li Zhang 1
Isaac Chuang 1
Mark Oskin 1
Junwhan Ahn 1
Daniel Williams 1
Chingwei Yeh 1
Changching Yeh 1
Jieyi Long 1
Grigorios Magklis 1
Pedro Chaparro 1
Meeta Gupta 1
Choonki Jang 1
Bernhard Egger 1
Rachid Seghir 1
Vincent Loechner 1
Jingfei Kong 1
Huiyang Zhou 1
Georgios Varsamopoulos 1
Chen Cher 1
Gilberto Contreras 1
Abbas Banaiyanmofrad 1
Kevin Lim 1
Paolo Faraboschi 1
Bernhard Urban 1
Lukas Stadler 1
Naifeng Jing 1
Wei Shu 1
Minyou Wu 1
Xiaoyao Liang 1
Ivan Stalev 1
Jaikrishnan Menon 1
Gabriel Southern 1
Deyu Shen 1
Pradeep Ramachandran 1
Siva Hari 1
Piero Olivo 1
Pradip Valathol 1
Stephen Hines 1
Jayesh Gaur 1
Lev Mukhanov 1
Hyunsung Shin 1
Paul Carpenter 1
Vanchinathan Venkataramani 1
Muhammad Shafique 1
Hui Wu 1
Alejandro Rico 1
Benoít Dupont De Dinechin 1
Jongeun Lee 1
Yuliu Chen 1
Gerard Smit 1
Stijn Polfliet 1
Avinoam Kolodny 1
Xiaolang Yan 1
George Kurian 1
Marco Danelutto 1
Shigang Li 1
Saurabh Sharma 1
Karan Singh 1
Wei Zhang 1
Rong Chen 1
Daofu Liu 1
Chengkok Koh 1
Yiran Chen 1
Hai Li 1
Raul Vidal 1
Pedro Tomás 1
Tapio Elomaa 1
Sepehr Assadi 1
Morteza Hoseinzadeh 1
Bradley Thwaites 1
Rajshekar Kalayappan 1
Brian Rogers 1
Zhilei Chai 1
Hsingmin Chen 1
Somayeh Sardashti 1
Jonas Maebe 1
Shuaiwenleon Song 1
Owen Callanan 1
Jacqueline Chame 1
Ozcan Ozturk 1
Greg Brown 1
John Wernsing 1
Michael Van De Vanter 1
Kyoungwoo Lee 1
Bita Mazloom 1
Yongwen Wang 1
Walid Ghandour 1
Zheng Wang 1
Víctor Yúfera 1
Zhengwei Qi 1
Mazen Saghir 1
Yungcheng Ma 1
Stamatis Vassiliadis 1
J Steffan 1
Chen Li 1
Neeraj Goel 1
Yongbing Huang 1
Yungang Bao 1
Panagiotis Theocharis 1
Zhijia Zhao 1
Narasimha Reddy 1
Paul Gratz 1
Vivek Sarkar 1
Hai Jin 1
Lieven Eeckhout 1
Yaojun Zhang 1
Dimitrios Siskos 1
Yanan Cao 1
Per Larsson-Edefors 1
Dimitrios Nikolopoulos 1
Yi Xu 1
Wonsub Kim 1
Benedict Gaster 1
Yaoqing Gao 1
Sang Do 1
Sehoon Lim 1
Luiz Martins 1
Spyros Lalis 1
Oscar Palomar 1
Jayvant Anantpur 1
Fernando Pereira 1
Rajeev Balasubramonian 1
Alex Solomatnikov 1
Weijia Li 1
Martin Burtscher 1
Ilya Ganusov 1
Michele Co 1
Chris Bentley 1
Koen De Bosschere 1
Christoph Keßler 1
David Cheriton 1
Justin Meza 1
James Greensky 1
Michel Paindavoine 1
Ben Juurlink 1
Michael Laurenzano 1
Heinrich Meyr 1
Guang Gao 1
Alban Douillet 1
Ruchira Sasanka 1
Jiajhe Li 1
James Geraci 1
Adam Lewis 1
Soumik Ghosh 1
Yang Yang 1
Sivakumar Velusamy 1
Mircea Stan 1
Nemanja Isailovic 1
Alex Aletà 1
Evan Speight 1
Pohan Wang 1
Chen Tian 1
Guilherme Ottoni 1
Davide Patti 1
Colin Blundell 1
Guibin Wang 1
Vijay Reddi 1
Zahra Abbasi 1
Eren Kursun 1
Ning Weng 1
Andrea Mondelli 1
Ragavendra Natarajan 1
Andrei Terechko 1
Sheng Li 1
George Michelogiannakis 1
Doheon Lee 1
Shindug Kim 1
Wenwen Xu 1
Kaiming Jiang 1
Ziliang Guo 1
Arjun Suresh 1
Atieh Lotfi 1
Luca Benini 1
Eladio Gutiérrez 1
Andi Drebes 1
Byungsun Yang 1
Dimitrios Nikolopoulos 1
Jacob Brock 1
Eddyzheng Zhang 1
Chen Ding 1
Anuj Pathania 1
Pranav Tendulkar 1
Mario Kicherer 1
Koen De Bosschere 1
Di Xu 1
Ramakrishna Upadrasta 1
Elisardo Antelo 1
Tom Bruintjes 1
Bert Molenkamp 1
Frederick Ryckbosch 1
Roman Malits 1
Eduardo Quiñones 1
Myungsu Cha 1
Nikolaos Tampouratzis 1
Sudheer Chunduri 1
Zheng Li 1
Yuan Yao 1
Tiago Vale 1
João Silva 1
Tom Spink 1
Junwhan Ahn 1
Albert Sidelnik 1
Mohammad Islam 1
Ulya Karpuzcu 1
Wankang Zhao 1
Kevin Casey 1
M Ertl 1
Engin Ïpek 1
Weiwu Hu 1
Daniel Lustig 1
Luis Taniça 1
Chengyi Chou 1
Ryan Riley 1
Mohammadkazem Taram 1
Andrew Anderson 1
Xiaowen Chen 1
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Derek Pao 1
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Hamed Tabkhi 1
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Yunhe Shi 1
Leonel Sousa 1
Chunchen Hsu 1
Jesse Elwell 1
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Alper Sen 1
Yaohua Wang 1
Dong Wang 1
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Hadi Esmaeilzadeh 1
Lihang Zhao 1
Michael O’boyle 1
Qin Wu 1
Chaitali Chakrabarti 1
Qing Yi 1
Hong Jiang 1
Dan Feng 1
Juan Carlos Juega 1
Lakshya Jain 1
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V Nandivada 1
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Hazem Hajj 1
Khaleel Mershad 1
Zidong Du 1
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Xavier Vera 1
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Yungang Bao 1
Ninghui Sun 1
François Trahay 1
Troels Henriksen 1
Amir Ashouri 1
Michael Bebenita 1
Sheng Qiu 1
Hai Li 1
Bipasa Chattopadhyay 1
Long Chen 1
Adrià Armejach 1
Zhenlin Wang 1
Ting Cao 1
Yuan Xie 1
Junghee Lee 1
Yeonghun Jeong 1
Derek Hower 1
Anup Holey 1
Kevin Streit 1
Clemens Hammacher 1
Andreas Zeller 1
Buse Yılmaz 1
Michael Huang 1
Fernando Endo 1
Vassilis Vassiliadis 1
Dongwoo Lee 1
Breno Guimarães 1
Péricles Alves 1
Andrew Kahng 1
Ali Shafiee 1
Mark Horowitz 1
Samantika Subramaniam 1
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Luca Gallo 1
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Heiner Litz 1
HanBin Yoon 1
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Eri Rubin 1
Xin Tong 1
Paul Kelly 1
Leo Porter 1
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Zhizhong Tang 1
Phillip Gibbons 1
Apala Guha 1
Julio Sahuquillo 1
Sharon Sacco 1
Wensheng Zhang 1
Changkyu Kim 1
Robert McDonald 1
Qiong Cai 1
Michael Parker 1
Xuehai Zhou 1
Xiaoning Nie 1
Marios Kleanthous 1
Kueichung Chang 1
Xi Chen 1
Seda Memik 1
Gokhan Memik 1
Rajarshi Mukherjee 1
Milo Martin 1
Damien Fetis 1
Theofanis Constantinou 1
Mike Mantor 1
Michael Andersch 1
Nikil Dutt 1
John Byrne 1
Laura Ramirez 1
Mei Yang 1
Yingtao Jiang 1
Allan Knies 1
Elba Garza 1
Brian Railing 1
Raghuraman Balasubramanian 1
Chenhan Ho 1
Yijung Chen 1
Salvatore Galfano 1
Cristian Zambelli 1
Emilio Zapata 1
Karine Heydemann 1
Ravi Bhargava 1
Lingli Zhang 1
Mukesh Agrawal 1
Jongpil Son 1
Qing Yang 1
Augusto Vega 1
Carlos Molina 1
Poovaiah Palangappa 1
Ricardo Fernández-Pascual 1
Jeroen Cleemput 1
Kanit Therdsteerasukdi 1
M Chang 1
Dibyendu Das 1
Javier Bruguera 1
Toan Mai 1
Sylvain Girbal 1
Luigi Carro 1
Hyukwoo Park 1
Lars Bauer 1
Zhonghai Lu 1
Guoqing Xu 1
Yifan Sun 1
Riad Akram 1
Huiyang Zhou 1
Shubhendu Mukherjee 1
Jun Yan 1
Tianshi Chen 1
Samira Khan 1
Pangfeng Liu 1
Iliano Cervesato 1
Aravind Sukumaran-Rajam 1
ShengGang Chen 1
Santanu Chattopadhyay 1
Rafael Possignolo 1
Susmit Sarkar 1
Amir Yazdanbakhsh 1
Riccardo Cattaneo 1
Youngsun Han 1
Hiroyuki Usui 1
Chengzhong Xu 1
Kent Wilken 1
Zhibin Wang 1
Carolejean Wu 1
Nilay Vaish 1
Kishore Kumar Pusukuri 1
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Chunyue Liu 1
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Mehmet Belviranli 1
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Richard Vuduc 1
Yong Dou 1
Christian Fensch 1
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Srimat Chakradhar 1
Hans Graf 1

Affiliation Paper Counts
US Naval Academy 1
Shanghai University of Engineering Science 1
University of Massachusetts Lowell 1
National University of Sciences and Technology Pakistan 1
Gwangju Institute of Science and Technology 1
Korean Agency for Defense Development 1
Universite Hadj Lakhdar de Batna 1
Macronix International Co 1
University of Qatar 1
Texas A and M University at Qatar 1
Google Switzerland GmbH 1
Huawei Technologies Co., Ltd. 1
LG Electronics, Korea 1
Intel Technology India Pvt Ltd. 1
Assured Information Security, Inc. 1
VMware, Inc 1
New York University Abu Dhabi 1
Carnegie Mellon University in Qatar 1
Universidade de Lisboa 1
IBM, Netherlands 1
IBM Research, Ireland 1
University of Michigan 1
Universidad Carlos III de Madrid 1
University of Amsterdam 1
Chinese University of Hong Kong 1
Furman University 1
Feng Chia University 1
University of Illinois 1
Kyungil University 1
University of Auckland 1
Los Alamos National Laboratory 1
University of Missouri-Kansas City 1
Sungkyunkwan University 1
Massey University 1
Colorado State University 1
Purdue University 1
Wayne State University 1
Synopsys Incorporated 1
Washington University in St. Louis 1
University of Rhode Island 1
Qualcomm Incorporated 1
Oregon State University 1
University of Massachusetts System 1
City University of Hong Kong 1
Drexel University 1
Bilkent University 1
Colorado School of Mines 1
Federal University of Uberlandia 1
University of Washington, Seattle 1
University of Tennessee, Knoxville 1
Federal University of Santa Catarina 1
The University of North Carolina System 1
Iranian Research Institute for Fundamental Sciences 1
National Tsing Hua University 1
Cray Inc. 1
LSI Corporation 1
San Diego State University 1
Singapore Polytechnic 1
Ecole Nationale Superieure de Techniques Avancees 1
Chang Gung University 1
University of Bern 1
Hewlett-Packard Inc. 1
Freescale Semiconductor 1
West Virginia University 1
East China Normal University 1
University of Notre Dame 1
University of St Andrews 1
Universitat Rovira i Virgili 1
University of Richmond 1
National Chi Nan University 1
Chongqing University 1
National Taiwan Ocean University 1
STMicroelectronics 1
University of Missouri System 1
Swiss Federal Institute of Technology, Zurich 1
Tianjin University of Technology 1
National Taiwan University of Science and Technology 1
NXP Semiconductors 1
University of Bologna 1
Daegu University 1
Friedrich Schiller University Jena 1
Verimag 1
Universite de Rennes 1 1
Democritus University of Thrace 1
Erasmus University Medical Center 1
International Institute of Information Technology Hyderabad 2
Royal Institute of Technology 2
Indian Institute of Technology, Kharagpur 2
Korea University 2
Bogazici University 2
University of Porto 2
Commissariat a L'Energie Atomique CEA 2
Altera Corporation 2
University of Sao Paulo 2
Linkoping University 2
Brown University 2
National Cheng Kung University 2
Michigan Technological University 2
Blekinge Institute of Technology 2
University of Naples Federico II 2
Vienna University of Technology 2
Technical University of Dresden 2
Tianjin University 2
Boston University 2
University of Hagen 2
Beijing University of Technology 2
Southwest China Normal University 2
MIT Lincoln Laboratory 2
Catholic University of Leuven, Leuven 2
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Microsoft Corporation 2
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Duke University 5
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IBM Thomas J. Watson Research Center 5
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TOBB University of Economics and Technology 5
Indian Institute of Technology, Delhi 5
NVIDIA 5
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Rice University 6
Delft University of Technology 6
IBM Research 6
Universidad Politecnica de Valencia 6
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IBM Austin Research Laboratory 6
University of Copenhagen 6
University of California System 6
Korea Advanced Institute of Science & Technology 6
Universite de Strasbourg 6
Zhejiang University 7
Instituto Superior Tecnico 7
Technical University of Berlin 7
University of California, Davis 7
University of Twente 7
Georgia Institute of Technology, School of Electrical and Computer Engineering 7
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Indian Institute of Technology, Madras 7
University of Rochester 7
Swiss Federal Institute of Technology, Lausanne 7
Queen's University Belfast 7
IBM, Japan 7
Lehigh University 8
Chalmers University of Technology 8
Peking University 8
Advanced Micro Devices, Inc. 8
Johannes Kepler University Linz 8
University of Delaware 8
Huazhong University of Science and Technology 8
Sharif University of Technology 8
Northeastern University 8
University of Patras 8
George Washington University 9
The University of British Columbia 9
University of Dublin, Trinity College 9
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University of Utah 9
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Tel Aviv University 10
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Florida State University 12
Universidad de Zaragoza 12
University Michigan Ann Arbor 12
Wuhan National Laboratory for Optoelectronics 12
Harvard University 13
Binghamton University State University of New York 13
Universidad de Murcia 14
University of Manchester 14
INRIA Institut National de Rechereche en Informatique et en Automatique 14
University of Minnesota Twin Cities 14
University of Cyprus 14
National Taiwan University 15
American University of Beirut 15
Institute of Computing Technology Chinese Academy of Sciences 16
HP Labs 17
Stanford University 17
University of Texas at Austin 17
Politecnico di Milano 17
University of California, Irvine 18
Shanghai Jiaotong University 19
University of Wisconsin Madison 19
Institute for Research in IT and Random Systems 20
Ohio State University 22
Georgia Institute of Technology 22
Carnegie Mellon University 23
University of California, Santa Barbara 24
Seoul National University 25
Pennsylvania State University 26
Princeton University 28
National University of Defense Technology China 29
University of Illinois at Urbana-Champaign 30
North Carolina State University 31
Chinese Academy of Sciences 35
University of Virginia 36
Barcelona Supercomputing Center 36
University of Edinburgh 37
University of California, Riverside 41
University of Pittsburgh 46
Universitat Politecnica de Catalunya 51
Ghent University 55
Intel Corporation 64

ACM Transactions on Architecture and Code Optimization (TACO)
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