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Languages and Compilers for Parallel Computing

Fourth International Workshop, Santa Clara, California, USA, August 7-9, 1991. Proceedings

  • Conference proceedings
  • © 1992

Overview

Editors:
  1. Utpal Banerjee
  2. David Gelernter
  3. Alex Nicolau
  4. David Padua

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 589)

Included in the following conference series:

Conference proceedings info: LCPC 1991.

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About this book

This volume contains the proceedings of the Fourth Workshop on Languages andCompilers for Parallel Computing, held in Santa Clara, California, in August1991. The purpose of the workshop, held every year since 1988, is to bring together the leading researchers on parallel programming language designand compilation techniques for parallel computers. The papers in this book cover several important topics including: (1) languages and structures to represent programs internally in the compiler, (2) techniques to analyzeand manipulate sequential loops in order to generate a parallel version, (3)techniques to detect and extract fine-grain parallelism, (4) scheduling and memory-management issues in automatically generated parallel programs, (5) parallel programming language designs, and (6) compilation of explicitly parallel programs. Together, the papers give a good overview of the research projects underway in 1991 in this field.

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Table of contents (26 papers)

  1. Front Matter

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  2. Distributed execution of actor programs

    • G. Agha, C. Houck, R. Panwar
    Pages 1-17

  3. An overview of the Fortran D programming system

    • S. Hiranandani, K. Kennedy, C. Koelbel, U. Kremer, C. -W. Tseng
    Pages 18-34

  4. The interaction of the formal and the practical in parallel programming environment development: CODE

    • J. Werth, J. Browne, S. Sobek, T. Lee, P. Newton, R. Jain
    Pages 35-49

  5. Hierarchical concurrency in Jade

    • D. Scales, M. Rinard, M. Lam, J. Anderson
    Pages 50-64

  6. Experience in the automatic parallelization of four Perfect-Benchmark programs

    • R. Eigenmann, J. Hoeflinger, Z. Li, D. Padua
    Pages 65-83

  7. Programming SIMPLE for parallel portability

    • J. Lee, C. Lin, L. Snyder
    Pages 84-98

  8. Compilation of Id

    • Z. Ariola, Arvind
    Pages 99-121

  9. An executable representation of distance and direction

    • R. Johnson, W. Li, K. Pingali
    Pages 122-136

  10. Integrating scalar optimization and parallelization

    • S. Tjiang, M. Wolf, M. Lam, K. Pieper, J. Hennessy
    Pages 137-151

  11. Optimization of data/control conditions in task graphs

    • M. Girkar, C. Polychronopoulos
    Pages 152-168

  12. Recognizing and parallelizing bounded recurrences

    • D. Callahan
    Pages 169-185

  13. Communication-free hyperplane partitioning of nested loops

    • C. -H. Huang, P. Sadayappan
    Pages 186-200

  14. Parallelizing loops with indirect array references or pointers

    • L. -C. Lu, M. Chen
    Pages 201-217

  15. Register allocation, renaming and their impact on fine-grain parallelism

    • A. Nicolau, R. Potasman, H. Wang
    Pages 218-235

  16. Data flow and dependence analysis for instruction level parallelism

    • B. R. Rau
    Pages 236-250

  17. Extending conventional flow analysis to deal with array references

    • A. Kallis, D. Klappholz
    Pages 251-265

  18. Run-time management of Lisp parallelism and the Hierarchical Task Graph program representation

    • M. Furnari, C. Polychronopoulos
    Pages 266-282

  19. A multi-grain parallelizing compilation scheme for OSCAR (optimally scheduled advanced multiprocessor)

    • H. Kasahara, H. Honda, A. Mogi, A. Ogura, K. Fujiwara, S. Narita
    Pages 283-297

  20. Balanced loop partitioning using GTS

    • J. Labarta, E. Ayguade, J. Torres, M. Valero, J. M. Llaberia
    Pages 298-312
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  1. Languages and Compilers for Parallel Computing

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