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

Modern multi-core systems provide huge computational capabilities, which can be used to run multiple... (more)

Bringing Parallel Patterns Out of the Corner: The P3 ARSEC Benchmark Suite

High-level parallel programming is an active research topic aimed at promoting parallel programming methodologies that provide the programmer with high-level abstractions to develop complex parallel software with reduced time to solution. Pattern-based parallel programming is based on a set of composable and customizable parallel patterns used as... (more)

Cache Exclusivity and Sharing: Theory and Optimization

A problem on multicore systems is cache sharing, where the cache occupancy of a program depends on the cache usage of peer programs. Exclusive cache hierarchy as used on AMD processors is an effective solution to allow processor cores to have a large private cache while still benefitting from shared cache. The shared cache stores the... (more)

Energy-Efficient Compilation of Irregular Task-Parallel Loops

Energy-efficient compilation is an important problem for multi-core systems. In this context, irregular programs with task-parallel loops ... (more)

Compiler-Assisted Loop Hardening Against Fault Attacks

Secure elements widely used in smartphones, digital consumer electronics, and payment systems are subject to fault attacks. To thwart such attacks,... (more)

A Transactional Correctness Tool for Abstract Data Types

Transactional memory simplifies multiprocessor programming by providing the guarantee that a sequential block of code in the form of a transaction... (more)

Power Consumption Models for Multi-Tenant Server Infrastructures

Multi-tenant virtualized infrastructures allow cloud providers to minimize costs through workload... (more)

CG-OoO: Energy-Efficient Coarse-Grain Out-of-Order Execution Near In-Order Energy with Near Out-of-Order Performance

We introduce the Coarse-Grain Out-of-Order (CG-OoO) general-purpose processor designed to achieve close to In-Order (InO) processor energy while maintaining Out-of-Order (OoO) performance. CG-OoO is an energy-performance-proportional architecture. Block-level code processing is at the heart of this architecture; CG-OoO speculates, fetches,... (more)

ECS: Error-Correcting Strings for Lifetime Improvements in Nonvolatile Memories

SLOOP: QoS-Supervised Loop Execution to Reduce Energy on Heterogeneous Architectures

Most systems allocate computational resources to each executing task without any actual knowledge of the application’s Quality-of-Service (QoS) requirements. Such best-effort policies lead to overprovisioning of the resources and increase energy loss. This work assumes applications with soft QoS requirements and exploits the inherent timing... (more)

MBZip: Multiblock Data Compression

Compression techniques at the last-level cache and the DRAM play an important role in improving system performance by increasing their effective capacities. A compressed block in DRAM also reduces the transfer time over the memory bus to the caches, reducing the latency of a LLC cache miss. Usually, compression is achieved by exploiting data... (more)

Fuse: Accurate Multiplexing of Hardware Performance Counters Across Executions

Collecting hardware event counts is essential to understanding program execution behavior. Contemporary systems offer few Performance Monitoring Counters (PMCs), thus only a small fraction of hardware events can be monitored simultaneously. We present new techniques to acquire counts for all available hardware events with high accuracy by... (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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CAIRO: A Compiler-Assisted Technique for Enabling Instruction-Level Offloading of Processing-In-Memory

Three-dimensional stacking technology and the memory-wall problem have popularized processing-in-memory (PIM), which offers the benefits of bandwidth and energy savings by offloading computations to the memory. Although industry prototypes such as Hybrid Memory Cube (HMC) have motivated studies for investigating efficient methods and architectures for PIM, researchers have not proposed a systematic way for identifying the benefits of instruction-level PIM offloading. In this paper, we analyze the advantages of instruction-level PIM offloading in the context of HMC for graph-computing applications and propose CAIRO, a compiler-assisted technique and decision model for enabling instruction-level offloading of PIM without any burden on programmers.

Efficient and Scalable Graph Parallel Processing with Symbolic Execution

We present SymGraph, a judicious graph engine with symbolic iteration that enables the parallelism of dependent computations for the embarrassingly-parallel graph computation by allowing using abstract symbolic value (instead of taking on the concrete value) if the desired data is unavailable. In an effort to maximize the potential of symbolic iteration, we also propose a chain of tailored sophisticated techniques, enabling SymGraph to scale out with a new milestone of efficiency for large-scale graph processing. Experimental results show that SymGraph outperforms traditional engines.

Triple Engine Processor (TEP): A Heterogeneous Near-Memory Processor for Diverse Kernel Operations

With the advent of 3D memory stacking technology that integrates a logic layer and the stacked memory, it is expected to mitigate memory wall problem by leveraging the concept of near-memory processing (NMP). Previous studies have been focused on acceleration and offloading for the specific kernel operations, but the limited functionality of NMP logic architecture can degrade the performance and energy efficiency by increasing the communication overhead with the host processor. In this study, we propose a Triple Engine Processor (TEP) which can efficiently process various kernel operations. The proposed TEP provides about 3.4 times speedup than the baseline system.

A Case for a More Effective, Power-Efficient Turbo Boosting

In this paper, we make a case for a more effective boosting strategy, which invests energy in activities with the best estimated return. In addition to running faster clocks, we can also use a look-ahead thread to overlap the penalties of cache misses and branch mispredicts. Overall, for similar power consumptions, the proposed adaptive turbo boosting strategy can achieve about twice the performance benefits while halving the energy overhead.

Data-Driven Concurrency for High Performance Computing

In this work we provide an efficient, portable and robust programming framework, based on the Data-Driven Multithreading (DDM) model of execution, that enables data-driven concurrency on HPC systems. The proposed framework has been evaluated using a suite of eight benchmarks, with different characteristics, on two different systems: a 4-node AMD system with a total of 128 cores and a 64-node Intel HPC system with a total of 768 cores. Our evaluation analysis shows that the proposed system scales well and it achieves comparable or better performance when is compared with other systems, such as MPI/ScaLAPACK, SWARM and DDM-VM.

HAShCache: Heterogeneity Aware Shared DRAMCache for Integrated Heterogeneous Systems

Integrated Heterogeneous System(IHS) processors pack throughput oriented GPGPUs alongside latency oriented CPUs on the same die sharing certain resources. We propose adding a large capacity stacked DRAM, used as a shared last level cache, for the IHS processors. However, adding the DRAMCache naively, leaves significant performance on the table due to the disparate demands from CPU and GPU cores. We propose three techniques to enhance the performance of IHS processors (i)PrIS, Heterogeneity Aware DRAMCache scheduler, (ii)ByE, Heterogeneity aware temporal bypassing mechanism (iii)Chaining, Heterogeneity aware occupancy controlling mechanism. HAShCache results in an average system performance improvement of 41% over naive DRAMCache.

SIMPO: A Scalable In-Memory Persistent Object Framework Using NVRAM for Reliable Big Data Computing

This work introduces a lightweight persistent object framework, dubbed Scalable In-Memory Persistent Object (SIMPO), to support data persistence for high-concurrency big-data applications through optimized exploitation of NVRAM. Using optimized redo logging, we propose a deferrable programming and execution model to support efficient data persistence with zero data loss. Our model is well-suited to in-memory big data computing workloads with improved data locality and concurrency. SIMPO features a write-combining checkpointing scheme to save overheads of flushing checkpoints to NVRAM. Experimental results with various benchmarks show that SIMPO incurs less than 5% runtime overhead, and achieves 2.35x more speedup in highly-threaded situations.

SCALO: Scalability-Aware Parallelism Orchestration for Multi-Threaded Workloads

Shared memory machines increase in scale by adding more parallelism through additional cores, memory and bandwidth. Often, executing multiple applications concurrently provides greater efficiency rather than executing an individual application with large thread counts. However, contention for shared resources can limit improvements from concurrency. In this paper we contribute SCALO, a solution to orchestrate concurrent application execution to increase throughput. SCALO monitors co-executing applications at runtime, evaluates their scalability and adapts the parallelism of each program. Unlike previous approaches, SCALO reflects dynamic contention effects and controls parallelism during the execution of parallel regions. Thus, it significantly outperforms previous, state-of-the-art approaches

SynchroTrace: Synchronization-aware Architecture-agnostic Traces for Light-Weight Multicore Simulation of CMP and HPC Workloads

Trace-driven simulation of chip multi-processors (CMP) offers many advantages over execution-driven simulation, such as reducing simulation time and complexity, and allowing portability, and scalability. However, trace-based simulation approaches have encountered difficulty capturing and accurately replaying multi-threaded traces due to the inherent non-determinism in the execution of multi-threaded programs. In this work, we present SynchroTrace, a scalable, flexible, and accurate trace-based multi-threaded simulation methodology for fast design space exploration of CMPs. Our trace-based approach has a peak speedup of up to 15.7X over simulation in gem5 full-system with an average of about 8X speedup and efficiently scales up to 64 threads.

ReDirect: Reconfigurable Directories for Multicore Architectures

Several architectural trends put into question the overall design of cache coherence in multicore chips. First, as the number of cores scale up, the static power and area costs of directories also increase. Second, limited power budgets restrict either the operating frequency and voltage of the system or require disabling some of the chip to stay within a fixed power budget. We argue for a different approach which leverages underprovisioned, re-configurable directories. Our directories are only used in the presence of sharing, and otherwise can be disabled to save power or re-used as cache to speed-up cache sensitive workloads.

Optimization of Triangular and Banded Matrix Operations Using 2d-Packed Layouts

Multicore systems have become more and more powerful, and thereby very useful in high-performance computing. However, many applications still cannot take full advantage of these systems. This is mainly due to the shortage of optimization techniques dealing with irregular control structures. In particular, the well-known polyhedral model fails to optimize loop nests handling sparse matrices in their packed formats. In this paper, we propose to use 2d-packed layouts and simple affine transformations to enable optimization of triangular and banded matrix operations. The benefit of our proposal is shown through an experimental study over a set of linear algebra benchmarks.

Improving Energy Efficiency of Coarse-Grained Reconfigurable Arrays through Modulo Schedule Compression/Decompression

CGRAs excel at exploiting loop-level parallelism at a high performance-per-watt ratio, yet 25-45 percent of the consumed energy are spent on the instruction memory and fetches therefrom. This article presents a hardware/software co-design methodology that is able to reduce the energy consumed by the instruction decode logic by 60%. The hardware modifications improve the spatial organization of code by re-organizing the configuration memory into separate partitions based on a statistical analysis. A compiler technique optimizes code in the temporal dimension by minimizing the number of signal changes. These optimizations enable a code size reduction of 55% for different application domains.

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

Polyhedral parallel code generation for CUDA

Temperature-aware microarchitecture: Modeling and implementation

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

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

Bibliometrics

Publication Years 2004-2017
Publication Count 554
Citation Count 2146
Available for Download 554
Downloads (6 weeks) 2788
Downloads (12 Months) 25840
Downloads (cumulative) 222004
Average downloads per article 401
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)
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)
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 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
Kevin Skadron 7
Mateo Valero 7
Antonio González 7
Margaret Martonosi 7
Pen Yew 6
Jingling Xue 6
Henk Corporaal 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
Timothy Sherwood 5
David Whalley 5
Laxmi Bhuyan 5
Christian Wimmer 5
Osman Ünsal 5
Jaume Abella 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
James Tuck 4
Sarita Adve 4
Miquel Moretó 4
Christos Kozyrakis 4
Prasad Kulkarni 4
Chengyong Wu 4
Francisco Cazorla 4
María Garzarán 4
Yu Du 4
Marco Santambrogio 4
Pierre Michaud 4
Aamer Jaleel 4
Dmitry Ponomarev 4
Timothy Jones 4
David Brooks 4
Mateo Valero 4
Walid Najjar 3
Ramón Doallo 3
Shuangde Fang 3
Chialin Yang 3
José Llabería 3
Josep Torrellas 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
David Wood 3
Mary Soffa 3
Bronis De Supinski 3
Frank Mueller 3
Mahmut Kandemir 3
Alberto Ros 3
Ramesh Karri 3
Nael Abu-Ghazaleh 3
Jue Wang 3
Víctor Viñals 3
John Cavazos 3
Xiangyu Dong 3
Hanspeter Mössenböck 3
Michael Franz 3
Kim Hazelwood 3
David Tarjan 3
Miao Zhou 3
Hans Vandierendonck 3
Basilio Fraguela 3
Lizy John 3
Yosi Asher 3
Todd Mowry 3
Francky Catthoor 3
Wengfai Wong 3
Paolo Ienne 3
Ioannis Papaefstathiou 3
Moinuddin Qureshi 3
Mikel Luján 3
Naveen Muralimanohar 3
Michael Spear 3
Jose Renau 3
Yunji Chen 3
Jennifer Sartor 3
Gennady Pekhimenko 2
Rupesh Nasre 2
Xiaofei Liao 2
Zhibin Yu 2
Alex Jones 2
Chrysostomos Nicopoulos 2
Amanieu D'Antras 2
Michael Smith 2
Ron Gabor 2
Jagannathan Ramanujam 2
Jin Lin 2
Amir Ashouri 2
Daniele De Sensi 2
V Nandivada 2
Tulika Mitra 2
Neil Vachharajani 2
Ben Juurlink 2
Yunheung Paek 2
Gagan Agrawal 2
Dean Tullsen 2
Shashidhar Mysore 2
Stefan Brunthaler 2
Carlos Álvarez 2
Juan Aragón 2
Magnus Själander 2
Mark Horowitz 2
Ricardo Dias 2
Leonid Yavits 2
Sanyam Mehta 2
Alex Ramírez 2
Angeliki Kritikakou 2
Jianjun Li 2
Jason Hiser 2
David August 2
Yiannakis Sazeides 2
Philippe Clauss 2
Simon Steely 2
Pavlos Mattheakis 2
Ahmad Anbar 2
Anurag Negi 2
Yingwei Luo 2
Manuel Acacio 2
Gabriel Loh 2
Nathanael Premillieu 2
Venmugil Elango 2
Wenjia Ruan 2
Scott Mahlke 2
Tinfook Ngai 2
Sameer Kulkarni 2
Doug Simon 2
Farrukh Hijaz 2
Chuntao Jiang 2
Hwansoo Han 2
Sven Verdoolaege 2
Grigori Fursin 2
Jacob Leverich 2
Frederic Chong 2
Yuanyuan Zhou 2
Cedric Nugteren 2
Wei Tong 2
Maximilien Breughe 2
Manlap Li 2
Komal Jothi 2
Xiaobing Feng 2
Karthik Sankaranarayanan 2
Xiaowen Jiang 2
Preeti Panda 2
Petar Radojković 2
Soomook Moon 2
Abhishek Bhattacharjee 2
Quan Chen 2
Morteza Kafshdooz 2
Alireza Ejlali 2
Uday Bondhugula 2
Joel Emer 2
Bin Ren 2
Yong Li 2
Glenn Reinman 2
Banit Agrawal 2
John Kim 2
Yiannakis Sazeides 2
Daniel Jiménez-González 2
Xueyang Wang 2
Philippe Navaux 2
Joseph Sharkey 2
Todd Austin 2
Amit Golander 2
Diego Andrade 2
Gautham Beeraka 2
Mauricio Álvarez-Mesa 2
Li Zhao 2
Ravishankar Iyer 2
Yang Chen 2
Mageda Sharafeddine 2
Yangchun Luo 2
John Kubiatowicz 2
Mary Irwin 2
Xiaolang Yan 2
Marco Danelutto 2
Sally McKee 2
Betul Buyukkurt 2
Sebastian Hack 2
Motohiro Kawahito 2
Lishiuan Peh 2
Yuanjie Huang 2
Karthikeyan Sankaralingam 2
José Martínez 2
Kai Huang 2
Milan Pavlovic 2
Changhui Lin 2
Guyeon Wei 2
Soojung Ryu 2
Erik Hagersten 2
Erven Rohou 2
Jorge Albericio 2
Pablo Ibáñez 2
Bart Coppens 2
Kishore Pusukuri 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
Costas Goutis 2
Chen Ding 2
Jacob Brock 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
Jungho Ahn 2
Chuanjun Zhang 2
David Roberts 2
Tarek El-Ghazawi 2
Olivier Serres 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
Massimo Torquati 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
David Kaeli 2
Kiyoung Choi 2
Mingyu Chen 2
Dongliang Xiong 2
Gianluca Palermo 2
Hao Luo 2
Sreenivas Subramoney 2
Eduard Ayguadé 2
Hugh Leather 2
Jörg Henkel 2
Xuejun Yang 2
Min Feng 2
Biswabandan Panda 2
William Hasenplaugh 2
Sriram Krishnamoorthy 2
Ruiyang Wu 1
Marc Casas 1
Saugata Ghose 1
George Yuan 1
Etem Deniz 1
Shahar Kvatinsky 1
Zonglin Liu 1
Subhasis Das 1
Janjan Wu 1
Pekka Jääskeläinen 1
Avinash Malik 1
Lizhong Chen 1
Woojin Choi 1
Donatella Sciuto 1
Abdullah Kayi 1
Yeoul Na 1
Mark Heffernan 1
Jingling Xue 1
Deshanand Singh 1
Mau Frank Chang 1
Malik Khan 1
David Yuste 1
Jens Palsberg 1
Yu Chen 1
Paraskevas Yiapanis 1
Michael Haupt 1
Dongrui She 1
Zhiying Wang 1
Hideaki Komatsu 1
Chao Zhang 1
Yuntan Fang 1
Brett Brotherton 1
Lin Tan 1
Hussam Mousa 1
David Cox 1
Gulfem Savrun-Yeniceri 1
Eric Seckler 1
Licheng Chen 1
Cosmin Oancea 1
Jerome Martin 1
Taejun Ham 1
Ivan Ratkovic 1
Sergio Siccha 1
Dave Herman 1
Aswinkumar Sridharan 1
Jianhua Sun 1
Jisheng Zhao 1
Pen Yew 1
Germán Rodríguez 1
Zheng Cui 1
Christos Strydis 1
Revital Eres 1
Samira Khan 1
Alan Cox 1
Scott Rixner 1
Atanas Rountev 1
Tryggve Fossum 1
Shuai Mu 1
Lee Howes 1
Johannes Doerfert 1
Dmitry Evtyushkin 1
Rongguey Chang 1
Hui Feng 1
Barry Rountree 1
Edmund Lai 1
Jaydeep Marathe 1
Jan Martinsen 1
Anders Isberg 1
Radu Teodorescu 1
Martin Kong 1
Ramaswamy Govindarajan 1
Enrique Vallejo 1
Helge Bahmann 1
Nico Reissmann 1
Dominik Grewe 1
Michael O’Boyle 1
David Ham 1
Laura Carrington 1
Ali Jannesari 1
Stephen Plaza 1
Jason Blome 1
Vassos Soteriou 1
Yan Luo 1
Yatish Patel 1
Dean Copsey 1
Narayanan Vijaykrishnan 1
Nitya Ranganathan 1
Doug Burger 1
Charles Moore 1
Brian Fields 1
Hungwei Tseng 1
Alvin Lebeck 1
Yu Bai 1
Thomas Puzak 1
Allan Hartstein 1
Philo Juang 1
George Athanasiou 1
Karin Strauss 1
Armin Größlinger 1
Andrea Corna 1
Andrea Damiani 1
Steve Kerrison 1
Jaeyun Kim 1
Lixin Zhang 1
Pavlos Petoumenos 1
Qin Zhao 1
Ioana Cutcutache 1
Kornilios Kourtis 1
Georgios Goumas 1
Ahmad Samih 1
Sangyeun Cho 1
Arun Raghavan 1
José González 1
Jialin Dou 1
Fred Bower 1
Sandeep Gupta 1
Thomas Wild 1
Marek Chrobak 1
Wenhao Jia 1
Kelly Shaw 1
Joshua Fryman 1
Thomas Würthinger 1
Eric Hein 1
Jack Sampson 1
Vinay Gangadhar 1
Vinay Vasista 1
Aravind Acharya 1
PAOLO Prinetto 1
Venkata Tavva 1
Rakesh Kumar 1
Oded Maler 1
Rainer Buchty 1
Javier Lira 1
Kelly Livingston 1
Bartosz Bogdański 1
John Demme 1
Simha Sethumadhavan 1
Ting Cao 1
Ernst Gran 1
Jason McCandless 1
Jinquan Dai 1
Yunhong Jiang 1
Almutaz Adileh 1
Eduardo Cruz 1
Ahmad Zmily 1
Tzongyen Lin 1
Russell Tessier 1
George Matheou 1
Dee Weikle 1
Xiaodong Li 1
Simon Moll 1
Rakesh Komuravelli 1
Pritpal Ahuja 1
Niket Choudhary 1
Evgeny Bolotin 1
Paolo Rech 1
Saumay Dublish 1
Yu Hua 1
João Lourenço 1
Mehmet Kurt 1
Avi Mendelson 1
Qingchuan Shi 1
Ajay Joshi 1
Yenai Ma 1
Ismail Akturk 1
Thomas Conte 1
Richard Strong 1
Martin Schulz 1
Ivan Sham 1
Ioannis Doudalis 1
William Dally 1
Heikki Kultala 1
Hamid Sarbazi-Azad 1
Y Srikant 1
Ehsan Ardestani 1
Zizhong Chen 1
Jinseong Jeon 1
Kristof Du Bois 1
Huimin Cui 1
Albert Cohen 1
Fabien Coelho 1
Suresh Purini 1
Jimmy Cleary 1
Mark Purcell 1
Pablo Abad 1
Valentin Puente 1
Chun Chen 1
Murray Cole 1
Mick Jordan 1
Servesh Muralidharan 1
Stefano Crespi-Reghizzi 1
Jinbo Xu 1
Eran Shifer 1
Jie Zhou 1
Ali Bakhoda 1
Hiroshi Inoue 1
Toshio Nakatani 1
Avinash Malik 1
Nisheeth Shrivastava 1
Hongyi Xin 1
Ely Levy 1
Zhenman Fang 1
Binyu Zang 1
Fabio Luporini 1
Ana Varbanescu 1
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Conglong Li 1
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Kanit Therdsteerasukdi 1
M Chang 1
Dibyendu Das 1
Michel Dubois 1
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Fang Hou 1
João Cardoso 1
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Laércio Pilla 1
Min Zhao 1
Gilles Borkowski 1
Shu Xiao 1
Kris Venstermans 1
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Marc Duranton 1
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Xiaoxia Wu 1
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Xicheng Lu 1
Gen Li 1
Bin Liu 1
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Stefan Wallentowitz 1
Javier Bruguera 1
Toan Mai 1
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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
Susmit Sarkar 1
Amir Yazdanbakhsh 1
Santanu Chattopadhyay 1
Rafael Possignolo 1
Riccardo Cattaneo 1
Youngsun Han 1
Hiroyuki Usui 1
Chengzhong Xu 1
Kent Wilken 1
Kishore Kumar Pusukuri 1
Konrad Trifunovic 1
Chunyue Liu 1
Gabe Rudy 1
Greg Stitt 1
Christian Fensch 1
Pieter Custers 1
Yohan Ko 1
Jonghee Youn 1
Rami Melhem 1
Mehmet Belviranli 1
Qingbo Wu 1
Michele Tartara 1
Richard Vuduc 1
Srimat Chakradhar 1
Hans Graf 1
Wes Masri 1
Yong Dou 1
Samuel Burri 1
Mahdad Davari 1
Daniel Sánchez 1
Xiuyi Zhou 1
Alvinwy Su 1
Gunar Schirner 1
Sukyung Yoon 1
Junggeun Kim 1
Narges Shahidi 1
Cherin Joseph 1
Mario Drumond 1
Sharath Prasad 1
Madan Das 1
Emrah Islek 1
Davide Bertozzi 1
Donatella Sciuto 1
Miguel Gonzalez-Mesa 1
Tao Li 1
Esther Salamí 1
Benoît Pradelle 1
Michael Lyons 1
Mark Hempstead 1
Elkin Garcia 1
George Patsilaras 1
Tim Harris 1
Sami Yehia 1
Lucas Weigel 1
Nigel Topham 1
Alberto Scolari 1
Sungjoo Yoo 1
Yunquan Zhang 1
Haibo Chen 1
Jian Li 1
Ling Li 1
Francis Lau 1
Patrick Crowley 1
Donghyuk Lee 1
Aleksandar Ilic 1
Weichung Hsu 1
Unnikrishnan Cheramangalath 1
Xu Zhou 1
Andrew McPherson 1
Soumya J 1
Jeffrey Draper 1
Byeongcheol Lee 1
Lavanya Subramanian 1
Hai Jin 1
Keoncheol Shin 1
Boryeh Shen 1
Wuu Yang 1
Abdulrahman Kaitoua 1
Feng Qin 1
Frank Vahid 1
Subhash Suri 1
Yong Li 1
Anshul Kumar 1
Abdel Badawy 1
Mehrzad Samadi 1
Amir Hormati 1
Andreas Prodromou 1
Christian Andreetta 1
Giovanni Mariani 1
Vassilis Vassiliadis 1
Fernando Endo 1
Dongwoo Lee 1
Andrew Kahng 1
Ali Shafiee 1
Breno Guimarães 1
Péricles Alves 1
Chienchi Chen 1
Dyer Rolán 1
Cyriel Minkenberg 1
Yiran Chen 1
Bing Liu 1
Robert Seepers 1
Vesna Smiljković 1
George Tzenakis 1
Carl Beckmann 1
Lingmei Weng 1
Yujie Liu 1
Zhe Wang 1
Junli Gu 1
Hyunggyu Lee 1
Michel, Dubois 1
Eric Petit 1
Jim Garside 1
Barış Aktemur 1
Samuel Kamin 1
Michael Isnardi 1
Shoaib Akram 1
Jiyang Yu 1
Bagus Wibowo 1
Thomas Stanton 1
Trevor Mudge 1
Michael Ferris 1
Xiaobing Feng 1
Christian Tenllado 1
François Irigoin 1
Riyadh Baghdadi 1
Protonu Basu 1
Albert Cohen 1
Boubacar Diouf 1
Can Hantas 1
Yuanchun Shi 1
Laurent Daynès 1
Li Wang 1
Jaekyu Lee 1
Yifan He 1
Nadav Rotem 1
Qiang Dou 1
Miao Yu 1
Huawei Li 1
John Haskins 1
Wei Liu 1
Rodolfo Neuber 1
Christopher Colohan 1
Yoonseo Choi 1
Priya Nagpurkar 1
Dumitru Potop-Butucaru 1
Thomas Rodriguez 1
Janghaeng Lee 1
Kypros Chrysanthou 1
Jianwei Liao 1
Vivien Begot 1
Mickael Dardaillon 1
Tanguy Risset 1
Andrés Goens 1
Sangheon Lee 1
Tanima Dey 1
Wei Wang 1
Shengde Wang 1
Peter Gavin 1
Viacheslav Fedorov 1
Víctor Jiménez 1
Sucheendra Palaniappan 1
R Ramanathan 1
P Thiagarajan 1
Pedro Peris-López 1
Dorit Nuzman 1
Sanghoon Lee 1
Daniel Sánchez 1
Christoph Kerschbaumer 1
John Cortes 1
Sanyam Mehta 1
Olivier Rochecouste 1
Mojtaba Mehrara 1
Hideho Arakida 1
Michal Wegiel 1
Weifeng Xu 1
Shyhtsunfelix Wu 1
Jedidiah Crandall 1
Quentin Colombet 1
Florian Brandner 1
Paraskevas Evripidou 1
Shiwen Hu 1
Efraim Rotem 1
David Padua 1
Patrick Eitschberger 1
Gabriel Rodríguez 1
Juan Touriño 1
Cristóbal Camarero 1
Ramón Beivide 1
Dan He 1
Vivek Seshadri 1
Amnon Barak 1
Tal Ben-Nun 1
Magnus Jahre 1
J Ramanujam 1
Ananta Tiwari 1
Yujie Liu 1
Valeria Bertacco 1
Bin Li 1
Dongrui Fan 1
Salvador Petit 1
Haiming Liu 1
Sun Chan 1
Srikanth Srinivasan 1
Ryan Kastner 1
Kanad Ghose 1
Luis Ceze 1
Xi Li 1
Junneng Zhang 1
Nicolas Weber 1
Jin Xiong 1
Leandro Fiorin 1
Muhamed Mudawar 1
A Khayyat 1
Nicklas Jensen 1
Sven Karlsson 1
Sander Vocke 1
Eric Hennigan 1
Jongman Kim 1
Jongeun Lee 1
Yoonseo Choi 1
Pablo De Oliveira Castro 1
Chadi Akel 1
Christian Zimmer 1
Furkan Kiraç 1
Zhigang Wang 1
Eduardo Marques 1
Rick Nas 1
Dong Chen 1
Damian Dechev 1
Xiaoyu Hu 1
Dong Chen 1
Zbigniew Chamski 1
Ram Rajamony 1
Rathijit Sen 1
Jian Li 1
Kartik Mohanram 1
Nectarios Koziris 1
Jason Mars 1
YenMing Chen 1
Anil Krishna 1
Robert Bell 1
Hyunjin Lee 1
R Rakvic 1
Jeffery Von Ronne 1
Benoît Meister 1
Andreas Lankes 1
Andreas Herkersdorf 1
Gilles Duboscq 1
Donghyuk Woo 1
Hsien Lee 1
Tao Zhang 1
Matthew Poremba 1
Chunghsiang Lin 1
Abbas Rahimi 1
Stefano Carlo 1
Alejandro Martínez 1
Nathalie Drach 1
Wolfgang Karl 1
Guang Gao 1
Gyungsu Byun 1
Zhenjiang Wang 1
Tong Wu 1
Glenn Reinman 1
Leonid Domnitser 1
Sabih Gerez 1
Wenlei Bao 1
Changwan Hong 1
Dana Schaa 1
José Abellán 1
Michael Garland 1
Shengen Yan 1
Sheng Li 1
Jay Brockman 1
Zoe Yu 1

Affiliation Paper Counts
Universite de Rennes 1 1
Democritus University of Thrace 1
Erasmus University Medical Center 1
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
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
Facebook, Inc. 1
Universidad Catolica de Murcia 1
Birla Institute of Technology and Science Pilani 1
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IBM Research 9
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HP Labs 17
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Institute for Research in IT and Random Systems 20
Institute of Computing Technology Chinese Academy of Sciences 20
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Princeton University 28
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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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