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Synergistic Analysis of Evolving Graphs

Evolving graph processing involves repeating analyses, which are often iterative, over multiple snapshots of the graph corresponding to different points in time. Since the snapshots of an evolving graph share a great number of vertices and edges, traditional approaches that process these snapshots one at a time without exploiting this overlap... (more)

A Cross-Platform SpMV Framework on Many-Core Architectures

Sparse Matrix-Vector multiplication (SpMV) is a key operation in engineering and scientific computing. Although the previous work has shown impressive... (more)

AIM

In this article, we propose Aggregation-in-Memory (AIM), a new processing-in-memory system designed for energy efficiency and near-term adoption. In order to efficiently perform aggregation, we implement simple aggregation operations in main memory and develop a locality-adaptive host architecture for in-memory aggregation, called cache-conscious... (more)

UMH

In this article, we describe how to ease memory management between a Central Processing Unit (CPU) and one or multiple discrete Graphic Processing Units (GPUs) by architecting a novel hardware-based Unified Memory Hierarchy (UMH). Adopting UMH, a GPU accesses the CPU memory only if it does not find... (more)

Hardware-Accelerated Cross-Architecture Full-System Virtualization

Hardware virtualization solutions provide users with benefits ranging from application isolation through server consolidation to improved disaster... (more)

LDAC

The trend of increasing the number of cores to achieve higher performance has challenged efficient management of on-chip data. Moreover, many emerging applications process massive amounts of data with varying degrees of locality. Therefore, exploiting locality to improve on-chip traffic and resource utilization is of fundamental importance.... (more)

Evaluation of Histogram of Oriented Gradients Soft Errors Criticality for Automotive Applications

Pedestrian detection reliability is a key problem for autonomous or aided driving, and methods that... (more)

Accelerating Intercommunication in Highly Parallel Systems

Every HPC system consists of numerous processing nodes interconnect using a number of different inter-process communication protocols such as... (more)

Concurrent JavaScript Parsing for Faster Loading of Web Apps

JavaScript is a dynamic language mainly used as a client-side web script. Nowadays, web is evolving into an application platform with its web apps,... (more)

Memory Access Scheduling Based on Dynamic Multilevel Priority in Shared DRAM Systems

Interapplication interference at shared main memory severely degrades performance and increasing DRAM frequency calls for simple memory schedulers.... (more)

A Reconfiguration Algorithm for Power-Aware Parallel Applications

In current computing systems, many applications require guarantees on their maximum power consumption to not exceed the available power budget. On the... (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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Designing a Tunable Nested Data-Parallel Programming System

This paper describes Surge, a nested data-parallel programming system which decouples high-level specification of computations from low-level implementation details using two constructs: schedules and policies. Schedules describe valid ways in which data-parallel operators may be implemented, while policies encapsulate a set of parameters that govern platform-specific code generation. These two mechanisms are used to automatically generate a search space of valid implementations, which is subsequently tuned to find optimized implementations for the given architecture and input dataset. We express in Surge five real-world benchmarks, and demonstrate performance that is on-par or better than manually optimized CPU and GPU code.

Pot: Deterministic transactional execution

We present Pot, a system that leverages the concept of preordered transactions to achieve deterministic multithreading of programs using Transactional Memory. Preordered transactions provide the illusion of executing in a deterministic serial order, unlike traditional transactions which appear to execute in a nondeterministic order that can change between executions. Pot uses a new concurrency control protocol to mitigate the overhead of ensuring determinism. To the best of our knowledge, Pot is the first to ensure determinism with off-the-shelf HTM. An experimental evaluation shows that Pot has low overhead, sometimes outperforms nondeterministic executions, and clearly outperforms the state-of-the-art in deterministic STMs.

Cooperative Caching for GPUs

The rise of general-purpose computing on GPUs has led to the introduction of an on-chip cache hierarchy on GPUs. High L1 miss rates, however, place high demands on the shared L2 bandwidth. In this paper, we aim to reduce the pressure on the shared L2 bandwidth. We identify significant replication of data among private L1 caches, presenting an opportunity to reuse data among the L1s. In our proposed architecture, we show how this reuse can be exploited by connecting the L1s with a lightweight ring network which translates into a performance improvement of 14.7% on average (and up to 49%).

Extending the WCET Problem to Runtime-Reconfigurable Processors

The correctness of a real-time system depends on requirement of adhering to deadlines. Guaranteeing deadlines by static timing analysis is practically infeasible for current microarchitectures with out-of-order scheduling pipelines, hardware threads and complex caches. Novel timing-analyzable features are required to sustain the demand for predictable performance. We propose runtime-reconfigurable processors to achieve analyzable performance. We introduce selecting reconfigurable custom instructions for optimizing the worst-case execution time (WCET) and model it as an extension to ILP-based program path analysis enabling optimization based on accurate WCET estimates utilizing global program flow information, e.g., about infeasible paths. Optimal and heuristic algorithms are presented.

Fine-grain Power Breakdown of Modern Out-Of-Order Cores and its implications on Skylake based systems

A detailed analysis of power consumption at low system levels becomes important as a means for reducing the overall power consumption of a system and its thermal hot spots. This work presents a new power estimation method that allows understanding the power breakdown of an application when running on modern processor architecture such as the newly released Intel Skylake processor. This work also provides a detailed power and performance characterization report for the SPEC CPU2006 benchmarks, analysis of the data using side-by-side power and performance breakdowns, as well as few interesting case studies.

Accuracy Bugs: A New Class of Concurrency Bugs to Exploit Algorithmic Noise Tolerance

Parallel programming introduces notoriously difficult bugs, usually referred as Concurrency Bugs. This paper investigates the potential for deviating from the conventional wisdom of writing concurrency-bug-free, parallel programs. It explores the benefit of accepting buggy but approximately correct parallel programs by leveraging the inherent tolerance of emerging parallel applications to inaccuracy in computations. Under algorithmic noise tolerance, a new class of concurrency bugs, Accuracy Bugs, degrade the accuracy of computation (often at acceptable levels) rather than causing catastrophic termination. This study demonstrates how embracing accuracy bugs affects the application output quality and performance by analyzing the impact on execution semantics.

Selecting Heterogeneous Cores for Diversity

Mobile devices with heterogeneous processors are becoming mainstream. A heterogeneous processor must contain diverse cores to match different runtime requirements and program behaviors. Selecting a diverse set of cores is a non-trivial problem, since power and performance are dependent on program features and microarchitectural features of cores. We present a core selection method based on the observation that one type of core can fulfill different roles for different types of programs. Given a power budget, our method provides an average speedup of 7% on EEMBC and 23% on SPECint 2006 benchmarks over the state of the art selection method.

A Software Cache Partitioning system for Hash-based Caches

In modern multicores, contention on the Last Level Cache (LLC) has a fundamental impact on applications. Software solutions are based on page coloring, which exploits the physical addressing of the LLC to partition it. However, this approach fails on recent architectures like Intel's Sandy Bridge, which use a hash function to address the LLC, making page coloring ineffective. This paper proposes a partitioning mechanism for such hash-based LLCs that is based on a re-design of page coloring, and aims at efficiency and scalability. The proposed solution is implemented within Linux and evaluated with several benchmarks from the SPEC CPU2006 suite.

Aggregate Flow Based Performance Fairness in CMPs

One urgent challenge in CMPs is to offer fair and efficient performance isolation among multiple applications sharing the best-effort network-on-chip. In the paper, we first introduce the concept of aggregate flow as sequences of request-reply messages directly or indirectly generated from the same thread. Then we propose three coherent mechanisms from rate profiling, rate inheritance to rate-proportional channel scheduling, to achieve fair efficient performance isolation for applications. Full-system evaluations in GEM5 show that, compared to classic packet-centric approach, our technique significantly improves weighted speed-up for all mixtures of two, four, and eight programs, and achieves nearly ideal fair performance isolation.

MaxPB : Accelerating PCM Write by Maximizing the Power Budget Utilization

In this paper, we propose a novel PCM write scheme, called MaxPB (Maximize the Power Budget utilization) to maximize the power budget utilization with minimum changes about the circuits design. MaxPB is a ``think before acting" method. The main idea of MaxPB is to monitor the actual power needs of all data units first and then effectively package them into the least number of write units under the power constraints. Experimental results show the efficiency and performance improvements on MaxPB.

Energy Proportional Photonic Interconnects

Photonic interconnects promise energy-efficient on-chip communication at future process nodes. However, the high optical loss of nanophotonic components coupled with the low efficiency of current laser sources result in high laser power consumption, which is wasted during idle periods. We propose ProLaser, a laser control mechanism that monitors the requests, the cache, and the coherence protocol to detect highly-correlated events, and turn on proactively the lasers of a photonic interconnect. ProLaser saves 42-85% of the laser power which closely tracks (within 6%) a perfect prediction scheme, while the power savings allow the cores to run 1.6x faster on average.

Impact of Intrinsic Profiling Limitations on Effectiveness of Adaptive Optimizations

Both offline and online profiling techniques suffer from intrinsic and practical limitations that affect the quality and timeliness of delivered profile data.The goal of this work is to study, understand, and quantify the performance impact of fundamental profiling limitations on the effectiveness of typical adaptive optimizations. We model and compare the behavior of three adaptive JVM optimizations  heap memory management using object usage profiles, code cache management using method usage profiles, and selective just-in-time compilation using method hotness profiles  when provided access to the best profiles generated by different offline, online, and ideal profiling schemes.

Some mathematical facts about optimal cache replacement

This paper exposes and proves some mathematical facts about optimal cache replacement that were previously unknown or not proved rigorously. An explicit formula is obtained, giving OPT hits and misses as a function of past references. Several mathematical facts are derived from this formula, including some consequences of optimal replacement in a multi-level cache hierarchy, a proof that OPT miss curves are always convex, and a new algorithm called OPT tokens, for reasoning about optimal replacement.

Static and Dynamic Frequency Scaling on Multicore CPUs

Dynamic voltage and frequency scaling (DVFS) adapts CPU power consumption by modifying the operating frequency/voltage. In this work, we address inherent limitations of classical DVFS. We first propose a lightweight runtime-based DVFS approach that is agnostic of the processor characteristics. We then show that for a class of computations, namely affine programs, we can develop a compile-time frequency and core count selection mechanism to optimize energy or energy-delay-product. We develop a new, fully automated static analysis to approximate the operational intensity and parallel scaling of affine programs, and evaluate our framework on five multi-core CPUs and 60 benchmarks.

User-Assisted Store Recycling for Dynamic Task Graph Schedulers

The emergence of the multi-core era has led to increased interest in designing effective yet practical parallel programming models. Models based on task graphs that operate on single-assignment data are attractive in several ways: they can support dynamic applications and precisely represent the available concurrency. However, they also require nuanced algorithms for scheduling and memory management for efficient execution. In this paper, we consider memory-efficient dynamic scheduling of task graphs. Specifically, we present a novel approach for dynamically recycling the memory locations assigned to data items as they are produced by tasks.

Bibliometrics

Publication Years 2004-2016
Publication Count 491
Citation Count 1729
Available for Download 491
Downloads (6 weeks) 3915
Downloads (12 Months) 26645
Downloads (cumulative) 196816
Average downloads per article 401
Average citations per article 4
First Name Last Name Award
Iris Bahar ACM Distinguished Member (2012)
Douglas C Burger 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)
William J Dally ACM-IEEE CS Eckert-Mauchly Award (2010)
Bronis R. De Supinski ACM Gordon Bell Prize (2006)
Nikil D. Dutt ACM Distinguished Member (2007)
Joel Emer ACM-IEEE CS Eckert-Mauchly Award (2009)
Michael Franz ACM Distinguished Member (2006)
Mary W Hall ACM Distinguished Member (2010)
Tim Harris ACM Senior Member (2007)
Mary Jane Irwin ACM Athena Lecturer Award (2010)
ACM Distinguished Service Award (2005)
Norman Jouppi ACM-IEEE CS Eckert-Mauchly Award (2015)
David R Kaeli ACM Distinguished Member (2014)
Stephen Keckler ACM Senior Member (2006)
ACM Grace Murray Hopper Award (2003)
Nectarios Koziris ACM Senior Member (2009)
Christoforos Kozyrakis ACM Senior Member (2007)
Sally A McKee ACM Senior Member (2013)
Trevor Mudge ACM-IEEE CS Eckert-Mauchly Award (2014)
Shubu Mukherjee ACM Distinguished Member (2009)
Walid Najjar ACM Distinguished Member (2015)
ACM Senior Member (2014)
Milos Prvulovic ACM Senior Member (2009)
Lawrence Rauchwerger ACM Distinguished Member (2014)
Vivek Sarkar ACM Distinguished Member (2006)
Robert Schreiber ACM Distinguished Member (2006)
Martin Schulz ACM Gordon Bell Prize (2006)
Kevin Skadron ACM Distinguished Member (2010)
ACM Senior Member (2007)
Mary Lou Soffa ACM-IEEE CS Ken Kennedy Award (2012)
Leonel Sousa ACM Distinguished Member (2015)
ACM Senior Member (2009)
J. Gregory Steffan ACM Senior Member (2009)
Subhash Suri ACM Distinguished Member (2007)
Mateo Valero ACM Distinguished Service Award (2012)
ACM-IEEE CS Eckert-Mauchly Award (2007)
Hans Vandierendonck ACM Senior Member (2013)
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)
Huiyang Zhou ACM Senior Member (2011)
Yuanyuan Zhou ACM Distinguished Member (2011)

First Name Last Name Paper Counts
Lieven Eeckhout 19
André Seznec 9
Rajiv Gupta 9
Yuan Xie 8
Stijn Eyerman 8
Bruce Childers 7
Kevin Skadron 7
Antonio González 7
Pen Yew 6
Michael O'Boyle 6
Jingling Xue 6
Mateo Valero 6
David Gregg 6
Antonia Zhai 6
Norman Jouppi 6
Margaret Martonosi 6
Yan Solihin 5
Haitham Akkary 5
Shlomo Weiss 5
Jun Yang 5
Weichung Hsu 5
Timothy Sherwood 5
Henk Corporaal 5
David Whalley 5
Laxmi Bhuyan 5
Christian Wimmer 5
Jaume Abella 5
Onur Mutlu 5
Adrián Cristal 5
Chengyong Wu 4
Christos Kozyrakis 4
María Garzarán 4
Yu Du 4
Aamer Jaleel 4
Dmitry Ponomarev 4
Timothy Jones 4
David Brooks 4
Jack Davidson 4
Tor Aamodt 4
Mateo Valero 4
Olivier Temam 4
Oğuz Ergin 4
Daniel Jiménez 4
Louis Pouchet 4
Milos Prvulovic 4
Yiannakis Sazeides 4
Sarita Adve 4
James Tuck 4
Osman Ünsal 4
Miquel Moretó 4
Francisco Cazorla 4
Walid Najjar 3
Ramón Doallo 3
Ponnuswamy Sadayappan 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
Wim Heirman 3
Bjorn De Sutter 3
Rami Melhem 3
Avi Mendelson 3
Albert Cohen 3
Marcelo Cintra 3
Stefanos Kaxiras 3
Rubén Titos-Gil 3
Daniel Mossé 3
José García 3
Prashant Nair 3
Ramesh Karri 3
Frank Mueller 3
Mary Soffa 3
Mahmut Kandemir 3
Alberto Ros 3
Nael Abu-Ghazaleh 3
Jue Wang 3
Prasad Kulkarni 3
Víctor Viñals 3
Xiangyu Dong 3
Hanspeter Mössenböck 3
Michael Franz 3
Kim Hazelwood 3
David Tarjan 3
Pierre Michaud 3
Miao Zhou 3
Hans Vandierendonck 3
Lizy John 3
Basilio Fraguela 3
Todd Mowry 3
Francky Catthoor 3
Wengfai Wong 3
Mikel Luján 3
Paolo Ienne 3
Moinuddin Qureshi 3
Michael Spear 3
Jose Renau 3
Yunji Chen 3
Jennifer Sartor 3
Scott Mahlke 2
Tinfook Ngai 2
Kiyoung Choi 2
Min Feng 2
Xuejun Yang 2
Hwansoo Han 2
Manuel Acacio 2
David Wood 2
Sven Verdoolaege 2
William Hasenplaugh 2
Chuntao Jiang 2
John Kim 2
Glenn Reinman 2
Chenggang Wu 2
Peng Liu 2
Trevor Carlson 2
Omer Khan 2
Chuanjun Zhang 2
Jungho Ahn 2
Björn Franke 2
Ioannis Papaefstathiou 2
Kenzo Van Craeynest 2
Jason Cong 2
Per Larsen 2
Olivier Serres 2
Tarek El-Ghazawi 2
Motohiro Kawahito 2
Sebastian Hack 2
Betul Buyukkurt 2
Lishiuan Peh 2
Yuanjie Huang 2
Karthikeyan Sankaralingam 2
José Martínez 2
Changhui Lin 2
Guyeon Wei 2
Alex Jones 2
Erven Rohou 2
Jorge Albericio 2
Erik Hagersten 2
Amanieu D'Antras 2
Rupesh Nasre 2
Gennady Pekhimenko 2
Zhibin Yu 2
Xiaofei Liao 2
Chrysostomos Nicopoulos 2
Michael Smith 2
Ron Gabor 2
Jagannathan Ramanujam 2
Zheng Wang 2
Jin Lin 2
Neil Vachharajani 2
Dean Tullsen 2
Yunheung Paek 2
Shashidhar Mysore 2
Ben Juurlink 2
Stefan Brunthaler 2
Carlos Álvarez 2
Magnus Själander 2
Fabrice Rastello 2
Leonid Yavits 2
Sanyam Mehta 2
Alex Ramírez 2
Angeliki Kritikakou 2
Jason Hiser 2
Jianjun Li 2
David August 2
Anurag Negi 2
Yingwei Luo 2
Simon Steely 2
Philippe Clauss 2
Ahmad Anbar 2
Christophe Dubach 2
Bronis De Supinski 2
Gabriel Loh 2
Nathanael Premillieu 2
Venmugil Elango 2
Wenjia Ruan 2
David Roberts 2
Ghassan Shobaki 2
Naveen Muralimanohar 2
Amir Morad 2
Xiangyu Dong 2
Roy Ju 2
Vasilios Kelefouras 2
Guru Venkataramani 2
Ibrahim Hur 2
Ram Rangan 2
Cosmin Gorgovan 2
Qixiao Liu 2
Cecilia González-Álvarez 2
Xueyang Wang 2
Grigori Fursin 2
Jacob Leverich 2
Frederic Chong 2
Yuanyuan Zhou 2
Cedric Nugteren 2
Maximilien Breughe 2
Michael O’boyle 2
Manlap Li 2
Komal Jothi 2
Karthik Sankaranarayanan 2
Xiaobing Feng 2
Abhishek Bhattacharjee 2
Yong Li 2
Banit Agrawal 2
Joel Emer 2
John Cavazos 2
Quan Chen 2
Morteza Kafshdooz 2
Alireza Ejlali 2
Daniel Jiménez-González 2
Uday Bondhugula 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
Mary Irwin 2
Farrukh Hijaz 2
Marco Santambrogio 2
Michela Becchi 2
Philippe Navaux 2
Bart Coppens 2
Doug Simon 2
Pablo Ibáñez 2
Xipeng Shen 2
Kishore Pusukuri 2
Edwin Bonilla 2
Yosi Asher 2
Rajkishore Barik 2
Arun Kanuparthi 2
Yuanshin Hwang 2
Jason Loew 2
Oliverio Santana 2
Costas Goutis 2
José Gregorio 1
Lakshya Jain 1
Zhangqin Huang 1
Michael Gill 1
Demian Rosas-Ham 1
Gavin Brown 1
Jan Kuper 1
Yan Cui 1
Jeremy Fowers 1
Yingxin Wang 1
Stephen Dolan 1
Carlos Luque 1
Samuel Antão 1
Jan Lucas 1
Mark Gottscho 1
Alexandru Nicolau 1
Jichuan Chang 1
Gagan Agrawal 1
Edoardo Charbon 1
Srihari Cadambi 1
Zhizhou Yang 1
Hazem Hajj 1
Khaleel Mershad 1
Zidong Du 1
Zhibin Liang 1
Buse Yılmaz 1
Tulika Mitra 1
Madhura Purnaprajna 1
Frank Sem-Jacobsen 1
Yongjoo Kim 1
Michael Huang 1
Mihai Pricopi 1
Yaozu Dong 1
Karel Walters 1
Alain Ketterlin 1
Daniel Orozco 1
Rishi Khan 1
Sameer Kulkarni 1
Antonio Garcia-Guirado 1
Dongsong Zhang 1
Shi Jin 1
Xavier Vera 1
Asadollah Shahbahrami 1
Zehan Cui 1
Yungang Bao 1
Ninghui Sun 1
Pranav Tendulkar 1
Mario Kicherer 1
Koen De Bosschere 1
Jonathan Winter 1
Brad Calder 1
Minyi Guo 1
Thomas Kotzmann 1
Yuan Xie 1
Chengyi Chou 1
Ryan Riley 1
Mohammadkazem Taram 1
Andrew Anderson 1
Xiaowen Chen 1
Sandeep D'souza 1
Vijay Nagarajan 1
Giuseppe Natale 1
Kevin Chang 1
Luis Tanica 1
Engin Kayraklioglu 1
Erik Tomusk 1
Panayiotis Englezakis 1
Giorgos Dimitrakopoulos 1
Jost Berthold 1
Martin Elsman 1
Cristina Silvano 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
Jishen Zhao 1
José Castaños 1
Juan Cebrián 1
Yingying Tian 1
Myeongjae Jeon 1
Conglong Li 1
Naznin Fauzia 1
Shuchang Shan 1
Haewoo Park 1
Seongseok Seo 1
Nadav Rotem 1
Yifan He 1
Qiang Dou 1
Chunchen Hsu 1
Jesse Elwell 1
Jarmo Takala 1
Alper Sen 1
Yaohua Wang 1
Dong Wang 1
José Briz 1
Hadi Esmaeilzadeh 1
Lihang Zhao 1
Leonel Sousa 1
François Trahay 1
Troels Henriksen 1
Eunjung Park 1
Amir Ashouri 1
Minyi Guo 1
Tom Conte 1
Charles Weems 1
Hamed Tabkhi 1
Cheng Wang 1
Michael Bebenita 1
Sheng Qiu 1
Hai Li 1
Bipasa Chattopadhyay 1
Juan Aragón 1
Long Chen 1
Adrià Armejach 1
Zhenlin Wang 1
Ting Cao 1
Yuan Xie 1
Junghee Lee 1
Yeonghun Jeong 1
Yong Dou 1
Michel, Dubois 1
Eric Petit 1
Mark Horowitz 1
Samantika Subramaniam 1
David Lowenthal 1
Luca Gallo 1
Jörg Keller 1
Heiner Litz 1
Ricardo Dias 1
HanBin Yoon 1
Hong Jiang 1
Phillip Gibbons 1
Eri Rubin 1
Xin Tong 1
Paul Kelly 1
Leo Porter 1
Bin Zhang 1
Zhizhong Tang 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
Ravi Bhargava 1
Lingli Zhang 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
Mei Yang 1
Yingtao Jiang 1
Allan Knies 1
Salvatore Galfano 1
Cristian Zambelli 1
Emilio Zapata 1
Karine Heydemann 1
Shubhendu Mukherjee 1
Jun Yan 1
Tianshi Chen 1
Kent Wilken 1
Zhibin Wang 1
Carolejean Wu 1
Nilay Vaish 1
Huiyang Zhou 1
Luigi Carro 1
Hyukwoo Park 1
Guoqing Xu 1
Kishore Kumar Pusukuri 1
Pavlos Mattheakis 1
Konrad Trifunovic 1
Gabe Rudy 1
Chunyue Liu 1
Greg Stitt 1
Christian Fensch 1
Michele Tartara 1
Yohan Ko 1
Jonghee Youn 1
Rami Melhem 1
Mehmet Belviranli 1
Pieter Custers 1
Qingbo Wu 1
Richard Vuduc 1
Wes Masri 1
Michael Andersch 1
Nikil Dutt 1
John Byrne 1
Laura Ramirez 1
Samuel Burri 1
Srimat Chakradhar 1
Hans Graf 1
Boryeh Shen 1
Wuu Yang 1
Abdulrahman Kaitoua 1
Jim Garside 1
Barış Aktemur 1
Samuel Kamin 1
Michael Isnardi 1
Shoaib Akram 1
Jiyang Yu 1
Jeroen Cleemput 1
Kanit Therdsteerasukdi 1
M Chang 1
Dibyendu Das 1
Toan Mai 1
Javier Bruguera 1
Sylvain Girbal 1
Augusto Vega 1
Carlos Molina 1
Ricardo Fernández-Pascual 1
Feng Qin 1
Frank Vahid 1
Subhash Suri 1
Yong Li 1
Anshul Kumar 1
Pangfeng Liu 1
Iliano Cervesato 1
Mehrzad Samadi 1
Amir Hormati 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
Samira Khan 1
Abdel Badawy 1
Andreas Prodromou 1
Christian Andreetta 1
Giovanni Mariani 1
Elba Garza 1
Brian Railing 1
Raghuraman Balasubramanian 1
Chenhan Ho 1
Yijung Chen 1
Chienchi Chen 1
Dyer Rolán 1
Cyriel Minkenberg 1
Yiran Chen 1
Bing Liu 1
Robert Seepers 1
Vesna Smiljkovic 1
George Tzenakis 1
Carl Beckmann 1
Yujie Liu 1
Lingmei Weng 1
Zhe Wang 1
Junli Gu 1
Hyunggyu Lee 1
Hideaki Komatsu 1
Dongrui She 1
Zhiying Wang 1
Lee Howes 1
Johannes Doerfert 1
Olivier Rochecouste 1
John Cortes 1
Mojtaba Mehrara 1
Hideho Arakida 1
Najm Rmaileh 1
Yazhuo Dong 1
Hongjian Li 1
Libo Huang 1
Chiehting Huang 1
Jungho Ahn 1
Jinho Suh 1
Vineeth Mekkat 1
Ahmad Zmily 1
Tzongyen Lin 1
Russell Tessier 1
Dee Weikle 1
Xiaodong Li 1
George Matheou 1
Simon Moll 1
Rakesh Komuravelli 1
Hongyi Xin 1
Ely Levy 1
Zhenman Fang 1
Binyu Zang 1
Fabio Luporini 1
Ana Varbanescu 1
Florian Rathgeber 1
Roy Campbell 1
Zia Huda 1
Gerd Ascheid 1
Polychronis Xekalakis 1
Nikolas Ioannou 1
Stephen Keckler 1
Michal Wegiel 1
Weifeng Xu 1
Shyhtsunfelix Wu 1
Jedidiah Crandall 1
Shiwen Hu 1
Quentin Colombet 1
Florian Brandner 1
Paraskevas Evripidou 1
Efraim Rotem 1
David Padua 1
Patrick Eitschberger 1
Ramón Beivide 1
Gabriel Rodríguez 1
Juan Touriño 1
Cristóbal Camarero 1
Dan He 1
Vivek Seshadri 1
Tal Ben-Nun 1
Amnon Barak 1
Magnus Jahre 1
J Ramanujam 1
Ananta Tiwari 1
Yujie Liu 1
Valeria Bertacco 1
Salvador Petit 1
Bin Li 1
Dongrui Fan 1
Haiming Liu 1
Sun Chan 1
Srikanth Srinivasan 1
Ryan Kastner 1
Luis Ceze 1
Kanad Ghose 1
David Kaeli 1
Xi Li 1
Junneng Zhang 1
Jian Li 1
Ram Rajamony 1
Nectarios Koziris 1
Jason Mars 1
YenMing Chen 1
Hyunjin Lee 1
Anil Krishna 1
Robert Bell 1
R Rakvic 1
Jeffery Von Ronne 1
Andreas Lankes 1
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Thejas Ramashekar 1
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Xiaolin Wang 1
V Nandivada 1
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Alex Solomatnikov 1
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Michele Co 1
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David Cheriton 1
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Alban Douillet 1
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Yang Yang 1
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Alex Aletà 1
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Pohan Wang 1
Chen Tian 1
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Davide Patti 1
Guibin Wang 1
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Andrei Terechko 1
Eren Kursun 1
George Michelogiannakis 1
Eladio Gutiérrez 1
Colin Blundell 1
Zahra Abbasi 1
Lukasz Strozek 1
Gary Tyson 1
Hongbo Rong 1
Ramaswamy Govindarajan 1
Pedro López 1
Nianfeng Tzeng 1
Huimin Cui 1
Ramadass Nagarajan 1
Jaehyuk Huh 1
Sharad Malik 1
Ravi Rajwar 1
Lawrence Rauchwerger 1
Xiangyu Zhang 1
Dmitry Ponomarev 1
Zhigang Hu 1
Josep Codina 1
Phil Diodato 1
Chao Wang 1
Wei Hu 1
Tienfu Chen 1
Ajay Joshi 1
Ian Rogers 1
Derek Pao 1
Simone Campanoni 1
Sule Ozev 1
Yi Yang 1
Ping Xiang 1
Lucas Vespa 1
Xiaohang Wang 1
Gulay Yalcin 1
Marco Indaco 1
Benjamin Lee 1
Carolejean Wu 1
Zhongho Chen 1
Wouter Rogiest 1
Jonathan Chang 1
Jesse Beu 1
Yunhe Shi 1
Choli Wang 1
Qin Wu 1
Chaitali Chakrabarti 1
Keval Vora 1
Harry Wagstaff 1
Qing Yi 1
Hong Jiang 1
Dan Feng 1
Juan Carlos Juega 1
Ning Weng 1
Andi Drebes 1
Wankang Zhao 1
Kevin Casey 1
M Ertl 1
Engin Ípek 1
Weiwu Hu 1
Daniel Lustig 1
Siddhartha Chhabra 1
Wenjie Chen 1
Jiuzhen Liang 1
Myungsu Cha 1
Tom Spink 1
Junwhan Ahn 1
Jose Ignacio Gomez 1
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Mary Hall 1
Chunhua Xiao 1
Hao Wu 1
Mohit Tiwari 1
Robert Schreiber 1
Hyesoon Kim 1
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Sheng Li 1
Todd Mytkowicz 1
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Haibing Guan 1
Yang Chen 1
Graham Yiu 1
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Fang Hou 1
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Di Xu 1
Ramakrishna Upadrasta 1
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Frederick Ryckbosch 1
Roman Malits 1
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Affiliation Paper Counts
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
Intel Technology India Pvt Ltd. 1
Assured Information Security, Inc. 1
VMware, Inc 1
New York University Abu Dhabi 1
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Universidade de Lisboa 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
University of Texas at San Antonio 1
Furman University 1
Feng Chia University 1
University of Illinois 1
Kyungil University 1
Ecole Normale Superieure de Lyon 1
University of Auckland 1
Los Alamos National Laboratory 1
University of Missouri-Kansas City 1
Sungkyunkwan University 1
Massey University 1
Purdue University 1
Wayne State University 1
Synopsys Incorporated 1
Washington University in St. Louis 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
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
Vienna University of Technology 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 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
Pacific Northwest National Laboratory 1
National Taiwan Ocean University 1
University of Missouri System 1
Swiss Federal Institute of Technology, Zurich 1
LG 1
University of Rochester 1
National Taiwan University of Science and Technology 1
NXP Semiconductors 1
University of Bologna 1
Daegu University 1
Friedrich Schiller University Jena 1
Universite de Rennes 1 1
Democritus University of Thrace 1
International Institute of Information Technology Hyderabad 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
CNRS Centre National de la Recherche Scientifique 2
Linkoping University 2
Samsung Group 2
Brown University 2
National Cheng Kung University 2
Michigan Technological University 2
Blekinge Institute of Technology 2
University of Naples Federico II 2
Tianjin University 2
University of Hagen 2
Beijing University of Technology 2
Lancaster University 2
STMicroelectronics 2
Southwest China Normal University 2
MIT Lincoln Laboratory 2
Catholic University of Leuven 2
San Diego Supercomputer Center 2
University of Nebraska - Lincoln 2
Vrije Universiteit Brussel 2
Columbia University 2
Verimag 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
Universite Grenoble Alpes 2
INRIA Saclay 2
SRI International 3
National Technical University of Athens 3
University of Haifa 3
Samsung Electronics 3
Zhejiang University 3
Iowa State University 3
Google Inc. 3
University of Pennsylvania 3
The University of Hong Kong 3
Federal University of Rio Grande do Sul 3
Northwestern University 3
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University of Arizona 3
University of Catania 3
Norwegian University of Science and Technology 3
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Sun Microsystems 3
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The College of William and Mary 3
University of Toronto 3
Academia Sinica Taiwan 3
Universite Paris Sorbonne - Paris IV 3
Thales 3
University of Ferrara 3
Lawrence Livermore National Laboratory 3
Microsoft 3
Complutense University of Madrid 3
Universidad de Santiago de Compostela 3
Northeastern University 3
IBM Zurich Research Laboratory 3
Queen's University Belfast 3
Universite de Versailles Saint-Quentin-en-Yvelines 3
Rutgers, The State University of New Jersey 3
NVIDIA 3
Ozyegin University 3
Shenzhen Institute of Advanced Technology 3
Universite de Lyon 3
Simula Research Laboratory 4
Universidad de Malaga 4
Jiangnan University 4
Hebrew University of Jerusalem 4
National Chung Cheng University 4
Australian National University 4
Polytechnic Institute of Turin 4
University of Southern California, Information Sciences Institute 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
Karlsruhe Institute of Technology 4
Duke University 5
Tampere University of Technology 5
University of Florida 5
Imperial College London 5
IBM Thomas J. Watson Research Center 5
NEC Laboratories America, Inc. 5
Massachusetts Institute of Technology 5
Technical University of Crete 5
University of Connecticut 5
University of Utah 5
University of Southern California 5
Southern Illinois University at Carbondale 5
TOBB University of Economics and Technology 5
Korea Advanced Institute of Science & Technology 5
Indian Institute of Technology, Delhi 5
Uppsala University 6
Arizona State University 6
Rice University 6
Delft University of Technology 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
Wuhan National Laboratory for Optoelectronics 6
Universite de Strasbourg 6
Chalmers University of Technology 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
IBM 7
University of California, Santa Cruz 7
University of California, Berkeley 7
Indian Institute of Technology, Madras 7
Swiss Federal Institute of Technology, Lausanne 7
University of California, San Diego 7
Lehigh University 8
Peking University 8
RWTH Aachen 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
University of Patras 8
George Washington University 9
The University of British Columbia 9
National University of Singapore 9
Technion - Israel Institute of Technology 9
University of New South Wales 9
Saarland University 9
Ecole Normale Superieure 10
Tel Aviv University 10
INRIA Institut National de Rechereche en Informatique et en Automatique 10
Indian Institute of Science 10
Texas A and M University 10
Universidad de A Coruna 10
Tsinghua University 10
University of Minnesota System 11
Cornell University 11
University of California, Los Angeles 11
Eindhoven University of Technology 11
Florida State University 12
Universidad de Zaragoza 12
University Michigan Ann Arbor 12
University of Minnesota Twin Cities 12
Universidad de Murcia 13
Harvard University 13
University of Dublin, Trinity College 13
Binghamton University State University of New York 13
University of Manchester 14
Politecnico di Milano 14
University of Cyprus 14
National Taiwan University 15
IBM Research 15
American University of Beirut 15
HP Labs 16
Institute of Computing Technology Chinese Academy of Sciences 16
Stanford University 17
University of Texas at Austin 17
Institute for Research in IT and Random Systems 17
University of Wisconsin Madison 17
Ohio State University 18
University of California, Irvine 18
Barcelona Supercomputing Center 18
Shanghai Jiaotong University 19
Seoul National University 20
Georgia Institute of Technology 22
Carnegie Mellon University 23
University of California, Santa Barbara 24
Pennsylvania State University 26
Princeton University 26
National University of Defense Technology China 29
University of Edinburgh 29
University of Illinois at Urbana-Champaign 30
North Carolina State University 31
Chinese Academy of Sciences 35
University of Virginia 36
University of California, Riverside 41
University of Pittsburgh 44
Ghent University 55
Universitat Politecnica de Catalunya 56
Intel Corporation 60

ACM Transactions on Architecture and Code Optimization (TACO)
Archive


2016
Volume 13 Issue 4, December 2016  Issue-in-Progress
Volume 13 Issue 3, September 2016
Volume 13 Issue 2, June 2016
Volume 13 Issue 1, April 2016
Volume 12 Issue 4, January 2016

2015
Volume 12 Issue 3, October 2015
Volume 12 Issue 2, July 2015
Volume 12 Issue 1, April 2015
Volume 11 Issue 4, January 2015

2014
Volume 11 Issue 3, October 2014
Volume 11 Issue 2, June 2014
Volume 11 Issue 1, February 2014

2013
Volume 10 Issue 4, December 2013
Volume 10 Issue 3, September 2013
Volume 10 Issue 2, May 2013
Volume 10 Issue 1, April 2013
Volume 9 Issue 4, January 2013 Special Issue on High-Performance Embedded Architectures and Compilers

2012
Volume 9 Issue 3, September 2012
Volume 9 Issue 2, June 2012
Volume 9 Issue 1, March 2012
Volume 8 Issue 4, January 2012 HIPEAC Papers

2011
Volume 8 Issue 3, October 2011
Volume 8 Issue 2, July 2011
Volume 8 Issue 1, April 2011

2010
Volume 7 Issue 3, December 2010
Volume 7 Issue 4, December 2010
Volume 7 Issue 2, September 2010
Volume 7 Issue 1, April 2010

2009
Volume 6 Issue 4, October 2009
Volume 6 Issue 3, September 2009
Volume 6 Issue 2, June 2009
Volume 6 Issue 1, March 2009
Volume 5 Issue 4, March 2009

2008
Volume 5 Issue 3, November 2008
Volume 5 Issue 2, August 2008
Volume 5 Issue 1, May 2008
Volume 4 Issue 4, January 2008

2007
Volume 4 Issue 3, September 2007
Volume 4 Issue 2, June 2007
Volume 4 Issue 1, March 2007

2006
Volume 3 Issue 4, December 2006
Volume 3 Issue 3, September 2006
Volume 3 Issue 2, June 2006
Volume 3 Issue 1, March 2006

2005
Volume 2 Issue 4, December 2005
Volume 2 Issue 3, September 2005
Volume 2 Issue 2, June 2005
Volume 2 Issue 1, March 2005

2004
Volume 1 Issue 4, December 2004
Volume 1 Issue 3, September 2004
Volume 1 Issue 2, June 2004
Volume 1 Issue 1, March 2004
 
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