Languages, Compilers and Run-time Environments for Distributed Memory Machines
eBook - PDF

Languages, Compilers and Run-time Environments for Distributed Memory Machines

  1. 320 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Languages, Compilers and Run-time Environments for Distributed Memory Machines

About this book

Papers presented within this volume cover a wide range of topics related to programming distributed memory machines. Distributed memory architectures, although having the potential to supply the very high levels of performance required to support future computing needs, present awkward programming problems. The major issue is to design methods which enable compilers to generate efficient distributed memory programs from relatively machine independent program specifications. This book is the compilation of papers describing a wide range of research efforts aimed at easing the task of programming distributed memory machines.

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Yes, you can access Languages, Compilers and Run-time Environments for Distributed Memory Machines by J. Saltz,P. Mehrotra in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Front Cover
  2. Languages, Compilers and Run-Time Environments for Distributed Memory Machines
  3. Copyright Page
  4. Table of Contents
  5. PREFACE
  6. Chapter 1. SUPERB: Experiences and Future Research
  7. Chapter 2. Scientific Programming Languages for Distributed Memory Multiprocessors : Paradigms and Research Issues
  8. Chapter 3. VIENNA FORTRAN - A FORTRAN LANGUAGE EXTENSION FOR DISTRIBUTED MEMORY MULTIPROCESSORS*
  9. Chapter 4. Compiler Parallelization of SIMPLE for a Distributed Memory Machine
  10. Chapter 5. Applications of the "Phase Abstractions" for Portable and Scalable Parallel Programming
  11. Chapter 6. Nicke - C Extensions for Programming on Distributed-Memory Machines
  12. Chapter 7. A Static Performance Estimator in the Fortran D Programming System
  13. Chapter 8. Compiler Support for Machine-Independent Parallel Programming in Fortran D
  14. Chapter 9. PANDORE: A System to Manage Data Distribution
  15. Chapter 10. DISTRIBUTED MEMORY COMPILER METHODS FOR IRREGULAR PROBLEMS - DATA COPY REUSE AND RUNTIME PARTITIONING1
  16. Chapter 11. Scheduling EPL Programs for Parallel Processing
  17. Chapter 12. Parallelizing Programs for Distributed-Memory Machines using the Crystal System
  18. Chapter 13. Iteration Space Tiling for Distributed Memory Machines
  19. Chapter 14. Systolic Loops
  20. Chapter 15. An Optimizing C* Compiler for a Hypercube Multicomputer
  21. Chapter 16. The Paragon Programming Paradigm and Distributed Memory Multicomputers