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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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Performance Optimization of the HPCG Benchmark on the Sunway TaihuLight Supercomputer

In this paper we present some key techniques for optimizing HPCG on Sunway TaihuLight and demonstrate how to achieve high performance in memory-bound applications by exploiting specific characteristics of the hardware architecture. In particular, we utilize a block multi-coloring approach for parallelization, and propose methods such as requirement-based data mapping and customized gather collective to enhance the effective memory bandwidth. Experiments indicate that the optimized HPCG code can sustain 77\% of the theoretical memory bandwidth and scale to the full system of over ten million cores, with an aggregated performance of 480.8 Tflop/s and a parallel efficiency of 87.3\%.

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.

Benzene: An Energy-Eicient Distributed Hybrid Cache Architecture for Manycore Systems

This paper proposes Benzene, an energy-efficient distributed SRAM/STT-RAM hybrid cache for manycore systems running multiple applications. It is based on the observation that a naive application of hybrid cache techniques to distributed caches in a manycore architecture suffers from limited energy reduction due to uneven utilization of scarce SRAM. We propose two-level optimization techniques: intra-bank and inter-bank. Intra-bank optimization leverages highly-associative cache design, achieving more uniform distribution of writes within a bank. Inter-bank optimization evenly balances the amount of write-intensive data across the banks. Our evaluation results show that Benzene significantly reduces energy consumption of distributed hybrid caches.

Optimizing Convolutional Neural Networks on Sunway TaihuLight Supercomputer

Sunway TaihuLight supercomputer is powered by SW26010, a new many-core processor designed with on-chip heterogeneous techniques. In this paper, we present our work on optimizing convolutional neural networks on SW26010. We first derive a performance model based on the architecture. Guided by the model, we propose a parallel algorithm design and a systematic optimization process targeting different architecture features. Our work can achieve a double-precision performance of 1.68 TFlops, which is 56% of the theoretical peak performance. Compared with cuDNN on K40m GPU, our work results in 2.5 times speedup and about 24% improvement on hardware efficiency.

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.

Improving MLC PCM Performance Through Relaxed Write and Read for Intermediate Resistance Levels

Phase Change Memory (PCM) is the most promising candidate to be used at main memory hierarchy. In order to deal with the limited lifetime of PCM, some extra storage per memory line is required to correct permanent hard errors (stuck-at faults). Since the extra storage is used only when permanent faults occur, it has a low utilization for a long time before hard errors start to occur. In this paper, we utilize the extra storage to improve the read/write latency in a 2-bit MLC PCM using a relaxation scheme for reading and writing the cells for intermediate resistance levels.

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

While the paradigm shift from planar(2D) to vertical(3D) model can prepare the NAND-flash technology for next-generation storage applications, the fast-threshold-drift can introduce charge-loss in such 3D-NAND cells and generate errors. In this work, we present an elastic read reference(ERR) for reducing such errors, introduce an intra-block page organization scheme(hitch-hike) to provide stronger ECC for error-prone pages, and a reinforcement-learning based data refill scheme(iRefill) to counter fast-drift with minimum overhead. Finally, we present the first analytic model to characterize fast-drift. Compared to conventional designs, our design can reduce fast-drift errors by 87%, on average, and lower the ECC latency/energy overhead significantly.

Enabling SIMT Execution Model on Homogeneous Multi-core System

SIMT machine emerges as a primary computing device in high performance computing since the SIMT execution paradigm can exploit data-level parallelism effectively. This paper explores the SIMT execution potential on homogeneous multi-core processors, which generally run in MIMD mode when utilizing the multi-core resources. We address three architecture issues in enabling SIMT execution model on multi-core processor, including multithreading execution model, kernel thread context placement, and thread divergence. Our study shows that effectiveness in data-parallel processing reduces on average 36% dynamic instructions, and boosts the SIMT executions to achieve up to 5x speedups over the MIMD counterpart for OpenCL benchmarks.

DiagSim: Systematically Diagnosing Simulators for Healthy Simulations

Simulators are the most popular tool to study computer architecture. However, modern simulators have become prohibitively complex to fully understand and utilize. Users therefore end up analyzing and modifying only the modules of interest when performing simulations. In this paper, we propose DiagSim, an efficient and systematic method to diagnose simulators. It ensures the target modules behave as expected to perform simulation. We diagnose three popular open-source simulators and show that they have different modeling details and interactions. We observe that these differences create large performance discrepancies for an identical processor design, and illustrate that diagnosis can mitigate them.

Extending Moore's Law via Computationally Error Tolerant Computing

Dennard scaling has ended. Lowering Vdd to sub volt levels causes intermittent losses in signal integrity, rendering further scaling no longer acceptable. However, it is possible to correct errors caused due to lower Vdd in an efficient manner, and effectively lower power. By deploying redundancy, we can strike a balance between overhead incurred in achieving reliability and energy savings realized by permitting lower Vdd. We use RRNS to design a Computationally-Redundant, Energy-Efficient core, including the microarchitecture, ISA and RRNS centered algorithms. This system can reduce the energy-delay-product by about 3× for multiplication intensive workloads and by about 2× in general.

GPU Performance vs. Thread-Level Parallelism: Scalability Analysis and A Novel Way to Improve TLP

In this paper, we perform a novel scalability analysis from the perspective of throughput utilization of various GPU components, including off-chip DRAM, multiple levels of caches, and the interconnect between L1 D-caches and L2 partitions. We show that the interconnect bandwidth is a critical bound for GPU performance scalability. For the applications that do not have saturated throughput utilization on a particular resource, their performance scale with increased TLP. We propose a fast context switching approach to improve TLP for such applications.With this fine-grain fast context switching, higher TLP can be supported without increasing the sizes of critical resources.

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.

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.

Energy-Performance Considerations for Data Offloading to FPGA-based Accelerators over PCIe

Modern data centers increasingly employ FPGA-based heterogeneous acceleration platforms as a result of their great potential for continued performance and energy efficiency. Today, FPGAs provide more hardware parallelism than is possible with GPUs or CPUs, while C-like programming environments facilitate shorter development time. In this work we address limitations and overheads in access and transfer of data to accelerators over PCIe. Additionally, matching of accelerators computing capacity and requirements, such as performance/watt or bandwidth to the diversity of workloads and to servers performance or low energy requirements is an equally important factor we address at the architectural level.

DarkCache: Energy-performance Optimization of Tiled Multi-cores by Adaptively Power Gating LLC Banks

Several cache partitioning schemes are proposed in multi-cores that implement monolithic LLCs to optimize the energy and performance metrics by primarily minimizing the interferences between applications competing for the shared LLC. The work presents DarkCache a novel cache partitioning scheme for tiled LLC architectures to optimize the EDP by dynamically turning off the unused LLC banks. The proposed architecture is application independent and allows the LLC reconfiguration without blocking the application execution. Results considering both 16- and 64-core architectures using the complete Splash2x suite show an average EDP improvement up to 38% with a performance degradation limited to 2%.

Improving Parallelism in Hardware Transactional Memory

Today's hardware transactional memory (HTM) systems rely on existing coherence protocols, which implement a requester-wins strategy. This, in turn, leads to poor performance when transactions frequently conflict, causing them to resort to a non-speculative fallback path. Often, such a path severely limits parallelism. In this paper, we propose very simple architectural changes to the existing requester-wins HTM implementations that enhance conflict resolution between hardware transactions and thus improve their parallelism. Our idea is backward-compatible with existing HTM systems, requires no changes to target applications that employ traditional lock synchronization, and is shown to provide robust performance benefits.

Visual Program Manipulation in the Polyhedral Model

Parallelism is one of the key performance sources in modern computer systems. When heuristics-based automatic parallelization fails to improve performance, a cumbersome and error-prone manual transformation is often required. As a solution, we propose an interactive visual approach building on the polyhedral model that visualizes exact dependences and parallelism; decomposes and replays a complex automatically-computed transformation step by step; and allows for directly manipulating the visual representation as a means of transforming the program with immediate feedback. User studies suggest that our visualization is understood by experts and non-experts alike, and that it may favor an exploratory approach.

Elastic Places: an adaptive resource manager for scalable and portable performance

The diversity and complexity of modern computing platforms makes the development of scalable and portable software challenging. Tuning the amount of work per task can balance parallelism and scheduling overheads, but cannot easily tune for memory bandwidth nor avoid inter-task interference. We propose a complementary approach, tuning the amount of resources allocated to tasks, and combine it with software-defined task topologies to provide portable locality. These ideas are combined into a low-overhead resource management scheme called Elastic Places. Experimental results show that Elastic Places provides both high scalability and performance portability, with speed-ups up to 2.3x compared to state-of-the-art runtimes.

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

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

Temperature-aware microarchitecture: Modeling and implementation

Virtual machine showdown: Stack versus registers

Design of the Java HotSpot™ client compiler for Java 6

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

Polyhedral parallel code generation for CUDA

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

Bibliometrics

Publication Years 2004-2017
Publication Count 561
Citation Count 2285
Available for Download 561
Downloads (6 weeks) 3856
Downloads (12 Months) 26350
Downloads (cumulative) 226583
Average downloads per article 404
Average citations per article 4
First Name Last Name Award
Sarita Adve ACM Fellows (2010)
Iris Bahar ACM Distinguished Member (2012)
Laxmi 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)
Hiroshi Inoue ACM Senior Member (2017)
Mary Jane Irwin ACM Athena Lecturer Award (2010)
ACM Distinguished Service Award (2005)
ACM Fellows (1996)
Ravishankar Iyer ACM Fellows (2001)
Norman Jouppi ACM-IEEE CS Eckert-Mauchly Award (2015)
ACM Fellows (2006)
David R Kaeli ACM Distinguished Member (2014)
Stephen Keckler ACM Fellows (2011)
ACM Senior Member (2006)
ACM Grace Murray Hopper Award (2003)
Nectarios Koziris ACM Senior Member (2009)
Christoforos Kozyrakis ACM Fellows (2016)
ACM Senior Member (2007)
Chandra Krintz ACM Senior Member (2009)
Sriram Krishnamoorthy ACM Senior Member (2016)
Jesus Labarta ACM-IEEE CS Ken Kennedy Award (2017)
Gabriel H Loh ACM Fellows (2017)
ACM Distinguished Member (2014)
ACM Senior Member (2009)
Sharad Malik ACM Fellows (2014)
Margaret Martonosi ACM Fellows (2009)
Sally A. McKee ACM Senior Member (2013)
Andreas Moshovos ACM Fellows (2017)
ACM Senior Member (2011)
Todd C Mowry ACM Fellows (2016)
Trevor Mudge ACM Fellows (2016)
ACM-IEEE CS Eckert-Mauchly Award (2014)
Shubu Mukherjee ACM Fellows (2011)
ACM Distinguished Member (2009)
Onur Mutlu ACM Fellows (2017)
ACM Senior Member (2013)
Walid Najjar ACM Distinguished Member (2015)
ACM Senior Member (2014)
Vijaykrishnan Narayanan ACM Fellows (2014)
David Padua ACM Fellows (2007)
Leo Porter ACM Senior Member (2017)
Milos Prvulovic ACM Senior Member (2009)
Lawrence Rauchwerger ACM Distinguished Member (2014)
Vivek Sarkar ACM Fellows (2008)
ACM Distinguished Member (2006)
Robert Schreiber ACM Fellows (2012)
ACM Distinguished Member (2006)
Martin Schulz ACM Gordon Bell Prize (2006)
Andre Seznec ACM Fellows (2016)
Kevin Skadron ACM Fellows (2015)
ACM Distinguished Member (2010)
ACM Senior Member (2007)
Mary Lou Soffa ACM-IEEE CS Ken Kennedy Award (2012)
ACM Fellows (1999)
Leonel Sousa ACM Distinguished Member (2015)
ACM Senior Member (2009)
J. Gregory Steffan ACM Senior Member (2009)
Per O Stenstrom ACM Fellows (2008)
Subhash Suri ACM Fellows (2010)
ACM Distinguished Member (2007)
Josep Torrellas ACM Fellows (2010)
Dean 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
Tor Aamodt 5
Yan Solihin 5
Haitham Akkary 5
Shlomo Weiss 5
Louis Pouchet 5
Jun Yang 5
Weichung Hsu 5
Timothy Sherwood 5
James Tuck 5
David Whalley 5
Laxmi Bhuyan 5
Christian Wimmer 5
Osman Ünsal 5
Onur Mutlu 5
Jaume Abella 5
Ponnuswamy Sadayappan 4
Jack Davidson 4
Antoniu Pop 4
Olivier Temam 4
Oğuz Ergin 4
Daniel Jiménez 4
Albert Cohen 4
Milos Prvulovic 4
David Wood 4
Bronis De Supinski 4
Sarita Adve 4
Miquel Moretó 4
Christos Kozyrakis 4
Prasad Kulkarni 4
Chengyong Wu 4
Francisco Cazorla 4
Marco Santambrogio 4
María Garzarán 4
Yu Du 4
Pierre Michaud 4
Aamer Jaleel 4
Hans Vandierendonck 4
Timothy Jones 4
Dmitry Ponomarev 4
David Brooks 4
Mateo Valero 4
Per Stenström 3
Walid Najjar 3
Ramón Doallo 3
Shuangde Fang 3
Chialin Yang 3
José Llabería 3
Josep Torrellas 3
Chandra Krintz 3
Ran Ginosar 3
Youtao Zhang 3
Zheng Wang 3
Wim Heirman 3
Rami Melhem 3
Bjorn De Sutter 3
Avi Mendelson 3
Fabrice Rastello 3
Marcelo Cintra 3
Stefanos Kaxiras 3
Daniel Mossé 3
José García 3
Rubén Titos-Gil 3
Christophe Dubach 3
Prashant Nair 3
Biswabandan Panda 3
Frank Mueller 3
Mary Soffa 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
Basilio Fraguela 3
Yosi Asher 3
Lizy John 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
Guang Gao 2
Hyesoon Kim 2
Chen Ding 2
Ramaswamy Govindarajan 2
Daniele De Sensi 2
V Nandivada 2
Michael Smith 2
Ron Gabor 2
Jagannathan Ramanujam 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
Poovaiah Palangappa 2
Karine Heydemann 2
Ricardo Dias 2
Mark Horowitz 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
Paraskevas Evripidou 2
Ghassan Shobaki 2
Cecilia González-Álvarez 2
Cosmin Gorgovan 2
Todd Austin 2
Gautham Beeraka 2
Mauricio Álvarez-Mesa 2
Mageda Sharafeddine 2
Yang Chen 2
Ravishankar Iyer 2
Li Zhao 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
Michela Becchi 2
Edwin Bonilla 2
Xipeng Shen 2
Dimitrios Nikolopoulos 2
Andi Drebes 2
Sven Verdoolaege 2
Preeti Panda 2
William Dally 2
Grigori Fursin 2
Yuanyuan Zhou 2
Cedric Nugteren 2
Frederic Chong 2
Jacob Leverich 2
Wei Tong 2
Maximilien Breughe 2
Manlap Li 2
Komal Jothi 2
Xiaobing Feng 2
Karthik Sankaranarayanan 2
Xiaowen Jiang 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
Somayeh Sardashti 2
Philippe Navaux 2
Marco Danelutto 2
John Kubiatowicz 2
Rachid Seghir 2
Vincent Loechner 2
Diego Andrade 2
Amit Golander 2
Joseph Sharkey 2
George Matheou 2
Madhu Mutyam 2
Sebastian Hack 2
Betul Buyukkurt 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
Zhibin Yu 2
Xiaofei Liao 2
Alex Jones 2
Chrysostomos Nicopoulos 2
Amanieu D'Antras 2
Jacob Brock 2
Yuanshin Hwang 2
Jawad Haj-Yihia 2
Ahmad Yasin 2
Jason Loew 2
Fang Wang 2
Jingning Liu 2
Oliverio Santana 2
Costas Goutis 2
Chenggang Wu 2
Peng Liu 2
Arun Kanuparthi 2
Trevor Carlson 2
Omer Khan 2
Jason Cong 2
Vijay Nagarajan 2
Erik Tomusk 2
Björn Franke 2
Mary Hall 2
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
Massimo Torquati 2
George Patsilaras 2
Dan Feng 2
Amir Morad 2
Xiangyu Dong 2
Roy Ju 2
Vasilios Kelefouras 2
Guru Venkataramani 2
Ram Rangan 2
Ibrahim Hur 2
Davide Bartolini 2
Michael Jantz 2
Qixiao Liu 2
Kartik Mohanram 2
Sreenivas Subramoney 2
Zhiying Wang 2
Hao Luo 2
Nathanael Premillieu 2
Venmugil Elango 2
Gabriel Loh 2
Wenjia Ruan 2
Scott Mahlke 2
Tinfook Ngai 2
David Kaeli 2
Kiyoung Choi 2
Dongliang Xiong 2
Gianluca Palermo 2
Mingyu Chen 2
Eduard Ayguadé 2
Hugh Leather 2
Jörg Henkel 2
Min Feng 2
Xuejun Yang 2
William Hasenplaugh 2
Sriram Krishnamoorthy 2
Chuntao Jiang 2
Hwansoo Han 2
Shengen Yan 1
Ruiyang Wu 1
Zoe Yu 1
George Yuan 1
Marc Casas 1
Saugata Ghose 1
Janjan Wu 1
Pekka Jääskeläinen 1
Abdullah Kayi 1
Etem Deniz 1
Avinash Malik 1
Shahar Kvatinsky 1
Zonglin Liu 1
Woojin Choi 1
Subhasis Das 1
Lizhong Chen 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
Michael Haupt 1
Yu Chen 1
Dongrui She 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
Ivan Ratkovic 1
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Yifan He 1
Qiang Dou 1
Nadav Rotem 1
Miao Yu 1
John Haskins 1
Wei Liu 1
Huawei Li 1
Rodolfo Neuber 1
Christopher Colohan 1
Thomas Rodriguez 1
Yoonseo Choi 1
Priya Nagpurkar 1
Dumitru Potop-Butucaru 1
Kypros Chrysanthou 1
Janghaeng Lee 1
Vivien Begot 1
Tanguy Risset 1
Jianwei Liao 1
Mickael Dardaillon 1
Andrés Goens 1
Sangheon Lee 1
Shengde Wang 1
Tanima Dey 1
Wei Wang 1
Peter Gavin 1
Viacheslav Fedorov 1
Víctor Jiménez 1
Sucheendra Palaniappan 1
R Ramanathan 1
P Thiagarajan 1
Pedro Peris-López 1
Michael Ferris 1
Sanyam Mehta 1
Damian Dechev 1
Vassilis Papaefstathiou 1
Stéphane Zuckerman 1
Dong Chen 1
Shyhtsunfelix Wu 1
Jedidiah Crandall 1
Quentin Colombet 1
Florian Brandner 1
Efraim Rotem 1
Olivier Rochecouste 1
John Cortes 1
Michal Wegiel 1
Weifeng Xu 1
Shiwen Hu 1
Mojtaba Mehrara 1
Hideho Arakida 1
David Padua 1
Patrick Eitschberger 1
Cristóbal Camarero 1
Ramón Beivide 1
Dan He 1
Vivek Seshadri 1
Amnon Barak 1
Tal Ben-Nun 1
Magnus Jahre 1
Gabriel Rodríguez 1
Juan Touriño 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
Kanad Ghose 1
Luis Ceze 1
Xi Li 1
Junneng Zhang 1
Nicolas Weber 1
Leandro Fiorin 1
Muhamed Mudawar 1
Dorit Nuzman 1
Daniel Sánchez 1
Sanghoon Lee 1
Christoph Kerschbaumer 1
Eric Hennigan 1
Jongman Kim 1
Yoonseo Choi 1
Jongeun Lee 1
Pablo De Oliveira Castro 1
Chadi Akel 1
Christian Zimmer 1
Furkan Kiraç 1
Zhigang Wang 1
Eduardo Marques 1
A Khayyat 1
Nicklas Jensen 1
Sven Karlsson 1
Sander Vocke 1
Rick Nas 1
Jin Xiong 1
Xiaoyu Hu 1
Dong Chen 1
Zbigniew Chamski 1
Jian Li 1
Nectarios Koziris 1
Rathijit Sen 1
Ram Rajamony 1
Jason Mars 1
YenMing Chen 1
Anil Krishna 1
Robert Bell 1
R Rakvic 1
Hyunjin Lee 1
Jeffery Von Ronne 1
Benoît Meister 1
Andreas Herkersdorf 1
Andreas Lankes 1
Hsien Lee 1
Gilles Duboscq 1
Donghyuk Woo 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
Tong Wu 1
Alejandro Martínez 1
Gyungsu Byun 1
Glenn Reinman 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
Sheng Li 1
Jay Brockman 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
Universite de Lyon 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
Lawrence Berkeley National Laboratory 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
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
University of Innsbruck 2
Technical University of Darmstadt 2
Technical University of Denmark 2
Brown University 2
National Cheng Kung 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
University of Central Florida 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
Sejong University 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
Michigan Technological University 3
Academia Sinica Taiwan 3
University of Bristol 3
IBM, USA 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
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
Universite Paris Sorbonne - Paris IV 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
Indian Institute of Technology, Kanpur 4
The University of Georgia 4
Federal University of Minas Gerais 4
Rutgers, The State University of New Jersey 4
Intel Technology India Pvt Ltd. 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
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
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
Swiss Federal Institute of Technology, Lausanne 7
Indian Institute of Technology, Delhi 7
Universite de Strasbourg 7
IBM, Japan 7
Lehigh University 8
Peking University 8
Advanced Micro Devices, Inc. 8
Johannes Kepler University Linz 8
Sharif University of Technology 8
Northeastern University 8
University of Pisa 8
University of Patras 8
George Washington University 9
IBM Research 9
University of Dublin, Trinity College 9
RWTH Aachen University 9
University of California, Berkeley 9
University of Utah 9
Huazhong University of Science and Technology 9
University of California, San Diego 9
Saarland University 9
Karlsruhe Institute of Technology 9
Tel Aviv University 10
The University of British Columbia 10
Texas A and M University 10
Technion - Israel Institute of Technology 10
Universidad de A Coruna 10
Tsinghua University 10
University of New South Wales 10
Ecole Normale Superieure 11
Zhejiang University 11
University of Minnesota System 11
Cornell University 11
National University of Singapore 11
Indian Institute of Technology, Madras 11
University of California, Los Angeles 11
Queen's University Belfast 11
Florida State University 12
Universidad de Zaragoza 12
University of Delaware 12
University Michigan Ann Arbor 12
University of Rochester 12
Wuhan National Laboratory for Optoelectronics 12
Harvard University 13
Indian Institute of Science, Bangalore 13
Binghamton University State University of New York 13
Universidad de Murcia 14
INRIA Institut National de Rechereche en Informatique et en Automatique 14
University of Minnesota Twin Cities 14
Eindhoven University of Technology 14
Chalmers University of Technology 15
National Taiwan University 15
American University of Beirut 15
University of Manchester 17
HP Labs 17
University of Texas at Austin 17
University of Cyprus 17
University of California, Irvine 18
Shanghai Jiaotong University 19
Institute for Research in IT and Random Systems 20
Institute of Computing Technology Chinese Academy of Sciences 20
University of Wisconsin Madison 21
Ohio State University 22
Carnegie Mellon University 23
University of California, Santa Barbara 24
Stanford University 25
Seoul National University 25
Politecnico di Milano 25
Pennsylvania State University 26
Georgia Institute of Technology 26
Princeton University 28
University of Illinois at Urbana-Champaign 30
North Carolina State University 32
National University of Defense Technology China 32
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 49
Universitat Politecnica de Catalunya 51
Ghent University 55
Intel Corporation 64

ACM Transactions on Architecture and Code Optimization (TACO)
Archive


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Volume 14 Issue 4, December 2017
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2013
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Volume 9 Issue 4, January 2013 Special Issue on High-Performance Embedded Architectures and Compilers

2012
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2011
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2008
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2007
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2006
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2005
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2004
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