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Languages and Compilers for Parallel Computing

23rd International Workshop, LCPC 2010, Houston, TX, USA, October 7-9, 2010. Revised Selected Papers

  • Conference proceedings
  • © 2011

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Editors:
  1. Keith Cooper

    1. Department of Computer Science, Rice University, Houston, USA

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  2. John Mellor-Crummey

    1. Department of Computer Science, Rice University, Houston, USA

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  3. Vivek Sarkar

    1. Department of Computer Science, Rice University, Houston, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6548)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

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Conference proceedings info: LCPC 2010.

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Table of contents (18 papers)

  1. Front Matter

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  2. McFLAT: A Profile-Based Framework for MATLAB Loop Analysis and Transformations

    • Amina Aslam, Laurie Hendren
    Pages 1-15

  3. Static Analysis of Dynamic Schedules and Its Application to Optimization of Parallel Programs

    • Christoph M. Angerer, Thomas R. Gross
    Pages 16-30

  4. Lowering STM Overhead with Static Analysis

    • Yehuda Afek, Guy Korland, Arie Zilberstein
    Pages 31-45

  5. A Parallel Numerical Solver Using Hierarchically Tiled Arrays

    • James C. Brodman, G. Carl Evans, Murat Manguoglu, Ahmed Sameh, María J. Garzarán, David Padua
    Pages 46-61

  6. Tackling Cache-Line Stealing Effects Using Run-Time Adaptation

    • Stéphane Zuckerman, William Jalby
    Pages 62-76

  7. Locality Optimization of Stencil Applications Using Data Dependency Graphs

    • Daniel Orozco, Elkin Garcia, Guang Gao
    Pages 77-91

  8. Array Regrouping on CMP with Non-uniform Cache Sharing

    • Yunlian Jiang, Eddy Z. Zhang, Xipeng Shen, Yaoqing Gao, Roch Archambault
    Pages 92-105

  9. Sublimation: Expanding Data Structures to Enable Data Instance Specific Optimizations

    • Harmen L. A. van der Spek, Harry A. G. Wijshoff
    Pages 106-120

  10. Optimizing and Auto-tuning Belief Propagation on the GPU

    • Scott Grauer-Gray, John Cavazos
    Pages 121-135

  11. A Programming Language Interface to Describe Transformations and Code Generation

    • Gabe Rudy, Malik Murtaza Khan, Mary Hall, Chun Chen, Jacqueline Chame
    Pages 136-150

  12. Unified Parallel C for GPU Clusters: Language Extensions and Compiler Implementation

    • Li Chen, Lei Liu, Shenglin Tang, Lei Huang, Zheng Jing, Shixiong Xu et al.
    Pages 151-165

  13. How Many Threads to Spawn during Program Multithreading?

    • Alexandru Nicolau, Arun Kejariwal
    Pages 166-183

  14. Parallelizing Compiler Framework and API for Power Reduction and Software Productivity of Real-Time Heterogeneous Multicores

    • Akihiro Hayashi, Yasutaka Wada, Takeshi Watanabe, Takeshi Sekiguchi, Masayoshi Mase, Jun Shirako et al.
    Pages 184-198

  15. Debugging Large Scale Applications in a Virtualized Environment

    • Filippo Gioachin, Gengbin Zheng, Laxmikant V. Kalé
    Pages 199-214

  16. Optimizing the Exploitation of Multicore Processors and GPUs with OpenMP and OpenCL

    • Roger Ferrer, Judit Planas, Pieter Bellens, Alejandro Duran, Marc Gonzalez, Xavier Martorell et al.
    Pages 215-229

  17. CnC-CUDA: Declarative Programming for GPUs

    • Max Grossman, Alina Simion Sbîrlea, Zoran Budimlić, Vivek Sarkar
    Pages 230-245

  18. Parallel Graph Partitioning on Multicore Architectures

    • Xin Sui, Donald Nguyen, Martin Burtscher, Keshav Pingali
    Pages 246-260

  19. The STAPL pView

    • Antal Buss, Adam Fidel, Harshvardhan, Timmie Smith, Gabriel Tanase, Nathan Thomas et al.
    Pages 261-275

  20. Back Matter

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Other volumes

  1. Languages and Compilers for Parallel Computing

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About this book

This book constitutes the thoroughly refereed post-proceedings of the 23rd International Workshop on Languages and Compilers for Parallel Computing, LCPC 2010, held in Houston, TX, USA, in October 2010. The 18 revised full papers presented were carefully reviewed and selected from 47 submissions. The scope of the workshop spans foundational results and practical experience, and targets all classes of parallel platforms including concurrent, multithreaded, multicore, accelerated, multiprocessor, and cluster systems

Editors and Affiliations

  • Department of Computer Science, Rice University, Houston, USA

    Keith Cooper, John Mellor-Crummey, Vivek Sarkar

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