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ACM Transactions on

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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)

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)

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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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ECS: Error-Correcting Strings for Lifetime Improvements in Non-Volatile Memories

Emerging non-volatile memories (NVMs) suffer from low write endurance, resulting in early cell failures (hard errors), which reduce memory lifetime. This paper proposes error-correcting strings (ECS), which adopt a base-offset approach to store pointers to the failed memory cells. Unlike fixed-length error-correcting pointers (ECP), ECS uses variable-length offsets to point to the failed cells, thereby realizing more pointers to tolerate more hard errors per memory block. Furthermore, this paper proposes eXtended-ECS (XECS), a page-level error correction architecture, which employs dynamic on-demand ECS allocation and opportunistic pattern-based data compression to improve NVM lifetime for negligible impact to system performance.

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.

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.

Compiler-Assisted Loop Hardening Against Fault Attacks

This paper addresses the automated protection of loops with complex control- and data-flow patterns at compilation time. The security property we consider is that a sensitive loop must always perform the expected number of iterations, otherwise an attack must be reported. We propose a generic and portable compile-time loop hardening scheme and also investigate how to preserve the security property along the compilation flow while enabling aggressive optimizations. On average, the compiler automatically hardens 95\% of the sensitive loops of typical security benchmarks. 97\% of simulated faults are detected. Performance and code size overhead remain quite affordable.

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.

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 applications Quality-of-Service (QoS) requirements. Such best-effort policies lead to over-provisioning of the resources and increase energy loss. This work assumes applications with soft QoS requirements and exploits the inherent timing slack to minimize the allocated computational resources so as to reduce energy consumption.We propose a lightweight progress-tracking methodology based on the outer loops that hold the applications kernel by building an online history that is used by our proposed novel predictors to estimate the total execution time.

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

MBZip: Multi-Block 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. Applications exhibit data locality that spread across multiple consecutive data blocks. We observe that there is significant opportunity available for compressing multiple consecutive data blocks into one single block, both at the LLC and DRAM. We propose a mechanism (MBZip) to achieve the same. Further, we also explore silent writes at the DRAM and show that certain writes need not access the memory when blocks are zipped.

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.

Generating Fine-Grain Multithreaded Applications using a Multigrain Approach

The recent evolution in hardware landscape, aimed at producing high-performance computing systems capable of reaching extreme-scale performance, has reignited the interest on fine-grain multithreading, particularly at the intranode level. Indeed, popular programming models, such as OpenMP, which features a simple interface for the parallelization of programs, are now incorporating fine-grain constructs. However, since coarse-grain directives are still heavily used, sometimes in conjunction with fine-grain constructs, OpenMP runtime is forced to support, at the same time, both models of execution, potentially reducing the advantages obtained when executing an application in a fully fine-grain environment.

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 the Efficiency of GPGPU Work-Queue through Data Awareness

Work-queues are effective for mapping irregular-parallel workloads to GPGPUs. In this paper, we present a novel hardware work-queue design named DaQueue which incorporates three data aware features to improve the efficiency of work-queues. We evaluate our proposal on the irregular-parallel workloads and carry out a case study on a path tracing pipeline. Experimental results show that, for selected workloads, the DaQueue improves the performance by 1.53X on average and up to 1.91X. Compared with an idealized hardware worklist approach which is the state-of-the-art prior work, the DaQueue can achieve an average of 29.54% extra speedup with less hardware area cost.

Optimizing Affine Control with Semantic Factorizations

Hardware accelerators generated by polyhedral synthesis techniques make an extensive use of affine expressions (affine functions and convex polyhedra) in control and steering logic. Since the control is pipelined, these affine objects must to be evaluated at the same time for different values, which forbids aggressive reuse of operators. In this paper, we propose a method to factorize a collection of affine expressions without preventing pipelining. Our key contributions are (i) to use semantic factorizations exploiting arithmetic properties of addition and multiplication and (ii) to rely on a cost function whose minimization ensures a correct usage of FPGA resources.

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.

Fuse: Accurate Multiplexing of Hardware Performance Counters Across Executions

Collecting hardware event counts is essential to understand program execution behavior. Contemporary systems offer few Performance Monitoring Counters (PMCs), thus only allowing to monitor a small fraction of hardware events simultaneously. We present new techniques to acquire counts for all available hardware events with high accuracy, by multiplexing PMCs across multiple executions of the same program, then carefully reconciling and merging the multiple profiles into a single, coherent profile. We present a new metric for assessing the similarity of statistical distributions of event counts and show that our execution profiling approach performs significantly better than Hardware Event Multiplexing.

Could Compression Be of General Use? Evaluating Memory Compression Across Domains

We take a holistic approach to evaluate the effectiveness of compression in the memory hierarchy for several real applications with real data, and complete runs of representative benchmarks. We introduce a new methodology to evaluate compressibility at both main memory and caches on real machines. Using our toolset, we evaluate a collection of workloads from different domains, such as a web server of a university department for 24 hours. We analyze different compression properties for both real applications and benchmarks. Our results suggest that compression could be of general use both in main memory and caches, and across different domains.

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 general-purpose processor designed to achieve close to In-Order processor energy while maintaining Out-of-Order performance. CG-OoO is an energy-performance proportional architecture. It speculates, fetches, schedules, commits code at block-level granularity. It eliminates unnecessary accesses to energy consuming tables, and turns large tables into smaller, distributed, cheaper to access tables. CG-OoO leverages dynamic block-level and instruction-level parallelism. CG-OoO introduces Skipahead, a limited out-of-order scheduling model. CG-OoO closes 58% of the energy gap between InO and OoO baselines at the performance of OoO. This makes CG-OoO 1.9× more efficient than the OoO on the energy-delay product inverse metric.

A Framework for Automated and Controlled Floating-Point Accuracy Reduction in Graphics Applications on GPUs

Reducing the precision of floating-point values can improve performance in computer graphics applications. However, reducing the precision levels in a controlled fashion needs support at the compiler and at the microarchitecture level. We propose an automated precision-selection method and a GPU register file organization that can store register values at arbitrary precisions densely. By allowing a small degradation in output quality, our method can remove up to 60% of the floating-point bits in the investigated kernels. Our register file exploits these lower-precision values by packing them into the same register, reducing the register pressure per thread by up to 47%.

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

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

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 543
Citation Count 2139
Available for Download 543
Downloads (6 weeks) 3097
Downloads (12 Months) 26249
Downloads (cumulative) 220272
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)
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 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 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 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
Shlomo Weiss 5
Jun Yang 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
Pierre Michaud 4
Aamer Jaleel 4
Dmitry Ponomarev 4
Timothy Jones 4
David Brooks 4
Mateo Valero 4
Mikel Luján 3
Chandra Krintz 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
José Llabería 3
Josep Torrellas 3
Youtao Zhang 3
Ran Ginosar 3
Zheng Wang 3
Antoniu Pop 3
Rami Melhem 3
Wim Heirman 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
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
Moinuddin Qureshi 3
Naveen Muralimanohar 3
Chrysostomos Nicopoulos 2
Amanieu D'Antras 2
Michael Smith 2
Ron Gabor 2
Jagannathan Ramanujam 2
Daniele De Sensi 2
Jin Lin 2
Amir Ashouri 2
Sameer Kulkarni 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
Yiannakis Sazeides 2
David August 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
David Kaeli 2
Maximilien Breughe 2
Yuanyuan Zhou 2
Manlap Li 2
Komal Jothi 2
Xiaobing Feng 2
Karthik Sankaranarayanan 2
Xiaowen Jiang 2
Soomook Moon 2
Petar Radojković 2
Abhishek Bhattacharjee 2
Quan Chen 2
Uday Bondhugula 2
Morteza Kafshdooz 2
Alireza Ejlali 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
Amit Golander 2
Todd Austin 2
Diego Andrade 2
Gautham Beeraka 2
Mauricio Álvarez-Mesa 2
Marco Danelutto 2
Yang Chen 2
Li Zhao 2
Ravishankar Iyer 2
Mageda Sharafeddine 2
Yangchun Luo 2
Mary Irwin 2
Xiaolang Yan 2
Sally McKee 2
Doug Simon 2
Farrukh Hijaz 2
Pablo Ibáñez 2
Bart Coppens 2
Kishore Pusukuri 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
Gennady Pekhimenko 2
Rupesh Nasre 2
Xiaofei Liao 2
Zhibin Yu 2
Alex Jones 2
Michela Becchi 2
Edwin Bonilla 2
Xipeng Shen 2
Yuanshin Hwang 2
Jason Loew 2
Jawad Haj-Yihia 2
Ahmad Yasin 2
Jingning Liu 2
Fang Wang 2
Oliverio Santana 2
Costas Goutis 2
Chenggang Wu 2
Peng Liu 2
Arun Kanuparthi 2
Omer Khan 2
Trevor Carlson 2
Jason Cong 2
Vijay Nagarajan 2
Björn Franke 2
Erik Tomusk 2
Mary Hall 2
Jungho Ahn 2
Chuanjun Zhang 2
Tarek El-Ghazawi 2
Olivier Serres 2
David Roberts 2
Kenzo Van Craeynest 2
Rajkishore Barik 2
Per Larsen 2
Dan Feng 2
Amir Morad 2
Xiangyu Dong 2
Massimo Torquati 2
Roy Ju 2
Vasilios Kelefouras 2
Guru Venkataramani 2
Ram Rangan 2
Davide Bartolini 2
Ibrahim Hur 2
Michael Jantz 2
Qixiao Liu 2
Ghassan Shobaki 2
Cecilia González-Álvarez 2
Cosmin Gorgovan 2
Kiyoung Choi 2
Mingyu Chen 2
Dongliang Xiong 2
Gianluca Palermo 2
Eduard Ayguadé 2
Hugh Leather 2
Jörg Henkel 2
Min Feng 2
Xuejun Yang 2
Biswabandan Panda 2
William Hasenplaugh 2
Sriram Krishnamoorthy 2
Chuntao Jiang 2
Hwansoo Han 2
Sven Verdoolaege 2
Grigori Fursin 2
Jacob Leverich 2
Frederic Chong 2
Cedric Nugteren 2
Wei Tong 2
Janjan Wu 1
Pekka Jääskeläinen 1
Abdullah Kayi 1
Etem Deniz 1
Avinash Malik 1
Shahar Kvatinsky 1
Zonglin Liu 1
Subhasis Das 1
Lizhong Chen 1
Woojin Choi 1
Donatella Sciuto 1
Yeoul Na 1
Mark Heffernan 1
Jingling Xue 1
Deshanand Singh 1
Mau Frank Chang 1
David Yuste 1
Malik Khan 1
Jens Palsberg 1
Paraskevas Yiapanis 1
Yu Chen 1
Michael Haupt 1
Dongrui She 1
Zhiying Wang 1
Hideaki Komatsu 1
Chao Zhang 1
Yuntan Fang 1
David Cox 1
Brett Brotherton 1
Lin Tan 1
Hussam Mousa 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
Jianhua Sun 1
Aswinkumar Sridharan 1
Dave Herman 1
Pen Yew 1
Germán Rodríguez 1
Jisheng Zhao 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
Jaydeep Marathe 1
Barry Rountree 1
Enrique Vallejo 1
Helge Bahmann 1
Nico Reissmann 1
Dominik Grewe 1
Michael O’Boyle 1
Edmund Lai 1
Jan Martinsen 1
David Ham 1
Anders Isberg 1
Radu Teodorescu 1
Ramaswamy Govindarajan 1
Martin Kong 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
Philo Juang 1
George Athanasiou 1
Thomas Puzak 1
Allan Hartstein 1
Yu Bai 1
Karin Strauss 1
Armin Größlinger 1
Jaeyun Kim 1
Steve Kerrison 1
Qin Zhao 1
Ioana Cutcutache 1
Kornilios Kourtis 1
Georgios Goumas 1
Lixin Zhang 1
Pavlos Petoumenos 1
Sangyeun Cho 1
Ahmad Samih 1
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Muhamed Mudawar 1
A Khayyat 1
Nicklas Jensen 1
Sven Karlsson 1
Sander Vocke 1
Rick Nas 1
Xiaoyu Hu 1
Dong Chen 1
Hao Luo 1
Zbigniew Chamski 1
Nectarios Koziris 1
Christian Zimmer 1
Yoonseo Choi 1
Furkan Kiraç 1
Zhigang Wang 1
Eduardo Marques 1
Jason Mars 1
Jin Xiong 1
Nicolas Weber 1
Sreenivas Subramoney 1
Rathijit Sen 1
Jian Li 1
Ram Rajamony 1
Kartik Mohanram 1
YenMing Chen 1
Hyunjin Lee 1
Anil Krishna 1
Robert Bell 1
R Rakvic 1
Jeffery Von Ronne 1
Benoît Meister 1
Andreas Lankes 1
Andreas Herkersdorf 1
Hsien Lee 1
Donghyuk Woo 1
Gilles Duboscq 1
Tao Zhang 1
Matthew Poremba 1
Chunghsiang Lin 1
Abbas Rahimi 1
Stefano Carlo 1
Nathalie Drach 1
Wolfgang Karl 1
Guang Gao 1
Alejandro Martínez 1
Tong Wu 1
Glenn Reinman 1
Gyungsu Byun 1
Zhenjiang Wang 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
Zoe Yu 1
Jay Brockman 1
Sheng Li 1
Ruiyang Wu 1
George Yuan 1
Marc Casas 1
Saugata Ghose 1

Affiliation Paper Counts
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
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
Bauhaus University Weimar 1
Daegu University 1
Friedrich Schiller University Jena 1
Verimag 1
Universite de Rennes 1 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
Technical University of Darmstadt 2
Technical University of Denmark 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
San Diego Supercomputer Center 2
University of Nebraska - Lincoln 2
Microsoft Corporation 2
Vrije Universiteit Brussel 2
Columbia University 2
Ecole des Mines de Paris 2
University of Cambridge 2
University of Nevada, Las Vegas 2
INRIA Rocquencourt 2
Princess Sumaya University 2
National Key Laboratory for Parallel and Distributed Processing 2
Intel Corporation, Belgium 2
ARM Ltd. 2
INRIA Saclay 2
IBM Toronto Software Lab 2
IBM Ireland Limited 2
SRI International 3
National Technical University of Athens 3
Iowa State University 3
Ecole Normale Superieure de Lyon 3
Google Inc. 3
University of Pennsylvania 3
The University of Hong Kong 3
Federal University of Rio Grande do Sul 3
Louisiana State University 3
University of Arizona 3
University of Catania 3
Norwegian University of Science and Technology 3
University of Massachusetts Amherst 3
Sun Microsystems 3
University of Louisiana at Lafayette 3
INSA Lyon 3
Academia Sinica Taiwan 3
Universite Paris Sorbonne - Paris IV 3
University of Bristol 3
IBM, USA 3
Indian Institute of Technology, Kanpur 3
Faculdade de Ciencias e Tecnologia, New University of Lisbon 3
Pacific Northwest National Laboratory 3
Lancaster University 3
University of Ferrara 3
Lawrence Livermore National Laboratory 3
Complutense University of Madrid 3
Universidad de Santiago de Compostela 3
Universite de Versailles Saint-Quentin-en-Yvelines 3
Ozyegin University 3
Intel Technology India Pvt Ltd. 3
Shenzhen Institute of Advanced Technology 3
Thales Research and Technology 3
Simula Research Laboratory 4
University of Texas at San Antonio 4
Universidad de Malaga 4
Jiangnan University 4
Northwestern University 4
Hebrew University of Jerusalem 4
National Chung Cheng University 4
Australian National University 4
King Fahd University of Petroleum and Minerals 4
Samsung Group 4
Polytechnic Institute of Turin 4
University of Passau 4
University of Southern California, Information Sciences Institute 4
The College of William and Mary 4
University of Toronto 4
CSIC - Instituto de Investigacion en Inteligencia Artificial 4
University of Science and Technology of China 4
Technical University of Munich 4
Microsoft Research 4
The University of Georgia 4
Federal University of Minas Gerais 4
Rutgers, The State University of New Jersey 4
Lero - The Irish Software Engineering Research Centre 4
University of Haifa 5
Samsung Electronics Co. Ltd. 5
Duke University 5
Tampere University of Technology 5
University of Florida 5
Imperial College London 5
University of Kansas Lawrence 5
IBM Thomas J. Watson Research Center 5
NEC Laboratories America, Inc. 5
Massachusetts Institute of Technology 5
University of Connecticut 5
University of Thessaly 5
IBM Zurich Research Laboratory 5
University of Southern California 5
Southern Illinois University at Carbondale 5
TOBB University of Economics and Technology 5
Indian Institute of Technology, Delhi 5
NVIDIA 5
Universite Grenoble Alpes 5
Uppsala University 6
Arizona State University 6
Rice University 6
Universidad Politecnica de Valencia 6
National Chiao Tung University Taiwan 6
University of Cantabria 6
Yonsei University 6
New York University 6
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
Instituto Superior Tecnico 7
Delft University of Technology 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
Technical University of Crete 7
University of California, Santa Cruz 7
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
Peking University 8
Advanced Micro Devices, Inc. 8
Johannes Kepler University Linz 8
University of California, Berkeley 8
Huazhong University of Science and Technology 8
Sharif University of Technology 8
Northeastern University 8
University of Pisa 8
University of Patras 8
Chalmers University of Technology 9
George Washington University 9
The University of British Columbia 9
IBM Research 9
University of Dublin, Trinity College 9
RWTH Aachen University 9
University of Utah 9
University of California, San Diego 9
Saarland University 9
Karlsruhe Institute of Technology 9
Ecole Normale Superieure 10
Tel Aviv University 10
Texas A and M University 10
Technion - Israel Institute of Technology 10
University of Delaware 10
Universidad de A Coruna 10
Tsinghua University 10
University of New South Wales 10
Zhejiang University 11
University of Minnesota System 11
Cornell University 11
Indian Institute of Science, Bangalore 11
National University of Singapore 11
University of California, Los Angeles 11
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
Eindhoven University of Technology 14
National Taiwan University 15
American University of Beirut 15
University of Cyprus 15
HP Labs 17
University of Texas at Austin 17
University of California, Irvine 18
Shanghai Jiaotong University 19
University of Wisconsin Madison 19
Politecnico di Milano 20
Institute for Research in IT and Random Systems 20
Institute of Computing Technology Chinese Academy of Sciences 20
Ohio State University 22
Georgia Institute of Technology 22
Stanford University 23
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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