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Languages, Compilers and Run-time Environments for Distributed Memory Machines
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- 320 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Languages, Compilers and Run-time Environments for Distributed Memory Machines
Book details
Table of contents
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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 Informatique & Intelligence artificielle (IA) et sémantique. We have over one million books available in our catalogue for you to explore.
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Table of contents
- Front Cover
- Languages, Compilers and Run-Time Environments for Distributed Memory Machines
- Copyright Page
- Table of Contents
- PREFACE
- Chapter 1. SUPERB: Experiences and Future Research
- Chapter 2. Scientific Programming Languages for Distributed Memory Multiprocessors : Paradigms and Research Issues
- Chapter 3. VIENNA FORTRAN - A FORTRAN LANGUAGE EXTENSION FOR DISTRIBUTED MEMORY MULTIPROCESSORS*
- Chapter 4. Compiler Parallelization of SIMPLE for a Distributed Memory Machine
- Chapter 5. Applications of the "Phase Abstractions" for Portable and Scalable Parallel Programming
- Chapter 6. Nicke - C Extensions for Programming on Distributed-Memory Machines
- Chapter 7. A Static Performance Estimator in the Fortran D Programming System
- Chapter 8. Compiler Support for Machine-Independent Parallel Programming in Fortran D
- Chapter 9. PANDORE: A System to Manage Data Distribution
- Chapter 10. DISTRIBUTED MEMORY COMPILER METHODS FOR IRREGULAR PROBLEMS - DATA COPY REUSE AND RUNTIME PARTITIONING1
- Chapter 11. Scheduling EPL Programs for Parallel Processing
- Chapter 12. Parallelizing Programs for Distributed-Memory Machines using the Crystal System
- Chapter 13. Iteration Space Tiling for Distributed Memory Machines
- Chapter 14. Systolic Loops
- Chapter 15. An Optimizing C* Compiler for a Hypercube Multicomputer
- Chapter 16. The Paragon Programming Paradigm and Distributed Memory Multicomputers