Parallel Language and Compiler Research in Japan

Parallel Language and Compiler Research in Japan

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Parallel Language and Compiler Research in Japan offers the international community an opportunity to learn in-depth about key Japanese research efforts in the particular software domains of parallel programming and parallelizing compilers. These are important topics that strongly bear on the effectiveness and affordability of high performance computing systems. The chapters of this book convey a comprehensive and current depiction of leading edge research efforts in Japan that focus on parallel software design, development, and optimization that could be obtained only through direct and personal interaction with the researchers themselves.
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Product details

  • Hardback | 522 pages
  • 156 x 233.9 x 31.8mm | 925.34g
  • Dordrecht, Netherlands
  • English
  • 1995 ed.
  • X, 522 p.
  • 0792395069
  • 9780792395065

Table of contents

Foreword. 1. Introduction; L.F. Bic, et al. 2. Language Design and Implementation of DFCII for a Dataflow Supercomputer Sigma-1; S. Sekiguchi, et al. 3. EM-C: Programming with Explicit Parallelism and Locality for EM-4 Multiprocessor; M. Sato, et al. 4. Introduction of RWC Massively Parallel Programming Languages; Y. Ishikawa, et al. 5. Compiling and Managing Concurrent Objects for Efficient Execution on High-Performance MPPs; S. Matsuoka, et al. 6. Implementation of Parallel Functional Language on Conventional Multiprocessor; S. Kusakabe, et al. 7. A FORTRAN Compiler and a Visual Environment of Program Development for Dataflow Machines; T. Yasue, Y. Muraoka. 8. Static Task Scheduling on Fine-Grain Supporting Multiprocessors; T. Inagaki, et al. 9. FLENG on PIE74 and its Programming Environment; H. Nakada, H. Tanaka. 10. Parallel Inference System Research in the Japanese FGCS Project; T. Chikayama, K. Rokusawa. 11. OSCAR FORTRAN Multigrain Compiler; H. Kasahara, et al. 12. The Vectorizing/Parallelizing Compiler V-PASCAL; T. Tsuda, et al. 13. Automatic Parallelizing Compiler for Distributed Memory Parallel Computers: New Algorithms to Improve the Performance of the Inspector/Executor; A. Kubota, et al. 14. Toward the Single and Multiple Programmed Environments for the Future Large-Scaled Parallel Systems; A. Fukuda, K. Joe. 15. SM-1 and its Language Systems; T. Yuasa, et al. 16. PCASE: a Programming Environment for Parallel Supercomputers; Y. Seo, et al. 17. VPP FORTRAN forDistributed Memory Parallel Computers; T. Shindo, et al. 18. Parallel Programming Language ADETRAN; K. Zaiki, et al. 19. PDEQSOL (Partial Differential Equation Solver Language) for Parallel Computers; T. Okochi. Bibliography, Author/Subject Index.
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