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Languages and Compilers for Parallel Computing

5th International Workshop, New Haven, Connecticut, USA, August 3-5, 1992. Proceedings

  • Conference proceedings
  • © 1993

Overview

Editors:
  1. Utpal Banerjee
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  2. David Gelernter
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  3. Alex Nicolau
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  4. David Padua
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 757)

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Table of contents (35 papers)

  1. Front Matter

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  2. Compilation of a highly parallel Actor-Based Language

    • W. Kim, G. Agha
    Pages 1-15

  3. A concurrent execution semantics for Parallel Program Graphs and Program Dependence Graphs

    • V. Sarkar
    Pages 16-30

  4. Using profile information to assist advanced compiler optimization and scheduling

    • W. Chen, R. Bringmann, S. Mahlke, S. Anik, T. Kiyohara, N. Warter et al.
    Pages 31-48

  5. A hierarchical parallelizing compiler for VLIW/MIMD machines

    • C. Brownhill, A. Nicolau
    Pages 49-63

  6. Dynamic dependence analysis: A novel method for data dependence evaluation

    • P. Peterson, D. Padua
    Pages 64-81

  7. On the feasibility of dynamic partitioning of pointer structures

    • J. Solworth
    Pages 82-96

  8. Compiler analysis for irregular problems in fortran D

    • R. von Hanxleden, K. Kennedy, C. Koelbel, R. Das, J. Saltz
    Pages 97-111

  9. Data ensembles in Orca C

    • C. Lin, L. Snyder
    Pages 112-123

  10. Compositional C++: Compositional parallel programming

    • K. Mani Chandy, C. Kesselman
    Pages 124-144

  11. Data parallelism and Linda

    • N. Carriero, D. Gelernter
    Pages 145-159

  12. Techniques for efficient execution of fine-grained concurrent programs

    • A. Chien, W. Feng, V. Karamcheti, J. Plevyak
    Pages 160-174

  13. Computing per-process summary side-effect information

    • T. Jeremiassen, S. Eggers
    Pages 175-191

  14. Supporting SPMD execution for dynamic data structures

    • A. Rogers, J. Reppy, L. Hendren
    Pages 192-207

  15. Determining transformation sequences for loop parallelization

    • W. Appelbe, K. Smith
    Pages 208-222

  16. Compiler optimizations for massively parallel machines: Transformations on iterative spatial loops

    • M. Chen, Y. Hu
    Pages 223-247

  17. Handling distributed data in Vienna Fortran procedures

    • B. Chapman, H. Zima, P. Mehrotra
    Pages 248-263

  18. On the synthesis of parallel programs from tensor product formulas for block recursive algorithms

    • S. Gupta, C. -H. Huang, P. Sadayappan, R. Johnson
    Pages 264-280

  19. Collective loop fusion for array contraction

    • G. Gao, R. Olsen, V. Sarkar, R. Thekkath
    Pages 281-295

  20. Parallel hybrid data flow algorithms: A case study

    • Y. -F. Lee, B. Ryder
    Pages 296-310
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About this book

The articles in this volume are revised versions of the best papers presented at the Fifth Workshop on Languages and Compilers for Parallel Computing, held at Yale University, August 1992. The previous workshops in this series were held in Santa Clara (1991), Irvine (1990), Urbana (1989), and Ithaca (1988). As in previous years, a reasonable cross-section of some of the best work in the field is presented. The volume contains 35 papers, mostly by authors working in the U.S. or Canada but also by authors from Austria, Denmark, Israel, Italy, Japan and the U.K.

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