Lecture Notes in Computer Science

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

By: Utpal Banerjee (Editor), David Gelernter (Editor), Alex Nicolau (Editor)

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Paperback | 22 April 1992

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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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Explicitly Parallel Languages
Distributed Execution of Actor Programs	p. 1
An Overview of the Fortran D Programming System	p. 18
The Interaction of the Formal and the Practical in Parellel Programming Environment Development: CODE	p. 35
Hierarchical Concurrency in Jade	p. 50
Experimentation With Parallel Programming
Experience in the Automatic Parallelization of Four Perfect-Benchmark Programs	p. 65
Programming SIMPLE for Parallel Portability	p. 84
Internal Representation
Compilation of Id	p. 99
An Executable Representation of Distance and Direction	p. 122
Integrating Scalar Optimization and Parallelization	p. 137
Optimization of Data/Control Condition in Task Graphs	p. 152
Loop Parallelism
Recognizing and Parallelizing Bounded Recurrences	p. 169
Communication-Free Hyperplane Partitioning of Nested Loops	p. 186
Parallelizing Loops with Indirect Array References or Pointers	p. 201
Fine Grain Parallelism
Register Allocation, Renaming and Their Impact on Fine-Grain Parallelism	p. 218
Data Flow and Dependence Analysis for Instruction Level Parallelism	p. 236
Analysis Techniques
Extending Conventional Flow Analysis to Deal with Array References	p. 251
Compilers and Scheduling
Run-Time Management of Lisp Parallism and the Hiearchical Task Graph Program Representation	p. 266
A Multi-Grain Parallelizing Compilation Scheme for OSCAR (Optimally Scheduled Advanced Multiprocessor)	p. 283
Balanced Loop Partitioning Using GTS	p. 298
Cache Memory Issues
An Iteration Partition Approach for Cache or Local Memory Thrashing on Parallel Processing	p. 313
On Estimating and Enhancing Cache Effectiveness	p. 328
Reduction of Cache Coherence Overhead by Compiler Data Layout and Loop Transformation	p. 344
Compilers for Dataflow Machines
Loop Storage Optimization for Dataflow Machines	p. 359
Optimal Partitioning of Programs for Data Flow Machines	p. 374
Analysis of Explicitly Parallel Programs
A Foundation for Advanced Compile-time Analysis of Linda Programs	p. 389
Analyzing Programs with Explicit Parallelism	p. 405
Table of Contents provided by Blackwell. All Rights Reserved.

Lecture Notes in Computer Science

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

At a Glance

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