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Languages and Compilers for Parallel Computing

16th International Workshop, LCPC 2003, College Sation, TX, USA, October 2-4, 2003, Revised Papers

  • Conference proceedings
  • © 2004

Overview

Editors:
  1. Lawrence Rauchwerger

    1. Parasol Lab, Dept. of Computer Science, Texas A&M University, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2958)

Included in the following conference series:

Conference proceedings info: LCPC 2003.

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Table of contents (35 papers)

  1. Front Matter

    Pages I-XI
    Download chapter PDF

  2. Search Space Properties for Mapping Coarse-Grain Pipelined FPGA Applications

    • Heidi Ziegler, Mary Hall, Byoungro So
    Pages 1-16

  3. Adapting Convergent Scheduling Using Machine-Learning

    • Diego Puppin, Mark Stephenson, Saman Amarasinghe, Martin Martin, Una-May O’Reilly
    Pages 17-31

  4. TFP: Time-Sensitive, Flow-Specific Profiling at Runtime

    • Sagnik Nandy, Xiaofeng Gao, Jeanne Ferrante
    Pages 32-47

  5. A Hierarchical Model of Reference Affinity

    • Yutao Zhong, Xipeng Shen, Chen Ding
    Pages 48-63

  6. Cache Optimization for Coarse Grain Task Parallel Processing Using Inter-Array Padding

    • Kazuhisa Ishizaka, Motoki Obata, Hironori Kasahara
    Pages 64-76

  7. Compiler-Assisted Cache Replacement: Problem Formulation and Performance Evaluation

    • Hongbo Yang, R. Govindarajan, Guang R. Gao, Ziang Hu
    Pages 77-92

  8. Memory-Constrained Data Locality Optimization for Tensor Contractions

    • Alina Bibireata, Sandhya Krishnan, Gerald Baumgartner, Daniel Cociorva, Chi-Chung Lam, P. Sadayappan et al.
    Pages 93-108

  9. Compositional Development of Parallel Programs

    • Nasim Mahmood, Guosheng Deng, James C. Browne
    Pages 109-126

  10. Supporting High-Level Abstractions through XML Technology

    • Xiaogang Li, Gagan Agrawal
    Pages 127-146

  11. Applications of HPJava

    • Bryan Carpenter, Geoffrey Fox, Han-Ku Lee, Sang Boem Lim
    Pages 147-161

  12. Programming for Locality and Parallelism with Hierarchically Tiled Arrays

    • Gheorghe Almási, Luiz De Rose, Basilio B. Fraguela, José Moreira, David Padua
    Pages 162-176

  13. Co-array Fortran Performance and Potential: An NPB Experimental Study

    • Cristian Coarfa, Yuri Dotsenko, Jason Eckhardt, John Mellor-Crummey
    Pages 177-193

  14. Evaluating the Impact of Programming Language Features on the Performance of Parallel Applications on Cluster Architectures

    • Konstantin Berlin, Jun Huan, Mary Jacob, Garima Kochhar, Jan Prins, Bill Pugh et al.
    Pages 194-208

  15. Putting Polyhedral Loop Transformations to Work

    • Cédric Bastoul, Albert Cohen, Sylvain Girbal, Saurabh Sharma, Olivier Temam
    Pages 209-225

  16. Index-Association Based Dependence Analysis and its Application in Automatic Parallelization

    • Yonghong Song, Xiangyun Kong
    Pages 226-240

  17. Improving the Performance of Morton Layout by Array Alignment and Loop Unrolling

    • Jeyarajan Thiyagalingam, Olav Beckmann, Paul H. J. Kelly
    Pages 241-257

  18. Spatial Views: Space-Aware Programming for Networks of Embedded Systems

    • Yang Ni, Ulrich Kremer, Liviu Iftode
    Pages 258-272

  19. Operation Reuse on Handheld Devices

    • Yonghua Ding, Zhiyuan Li
    Pages 273-287

  20. Memory Redundancy Elimination to Improve Application Energy Efficiency

    • Keith D. Cooper, Li Xu
    Pages 288-305
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  1. Languages and Compilers for Parallel Computing

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About this book

This book constitutes the thoroughly refereed post-proceedings of the 16th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2003, held in College Station, Texas, USA, in October 2003.

The 35 revised full papers presented were selected from 48 submissions during two rounds of reviewing and improvement upon presentation at the workshop. The papers are organized in topical sections on adaptive optimization, data locality, parallel languages, high-level transformations, embedded systems, distributed systems software, low-level transformations, compiling for novel architectures, and optimization infrastructure.

Editors and Affiliations

  • Parasol Lab, Dept. of Computer Science, Texas A&M University, USA

    Lawrence Rauchwerger

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