Languages and Compilers for Parallel Computing

7th International Workshop, Ithaca, NY, USA, August 8 - 10, 1994. Proceedings

By: Keshav Pingali (Editor), Utpal Banerjee (Editor), David Gelernter (Editor)

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Paperback | 26 January 1995

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This volume presents revised versions of the 32 papers accepted for the Seventh Annual Workshop on Languages and Compilers for Parallel Computing, held in Ithaca, NY in August 1994.
The 32 papers presented report on the leading research activities in languages and compilers for parallel computing and thus reflect the state of the art in the field. The volume is organized in sections on fine-grain parallelism, align- ment and distribution, postlinear loop transformation, parallel structures, program analysis, computer communication, automatic parallelization, languages for parallelism, scheduling and program optimization, and program evaluation.

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Fine-Grain Scheduling under Resource Constraints	p. 1
Mutation Scheduling: A Unified Approach to Compiling for Fine-Grain Parallelism	p. 16
Compiler Techniques for Fine-Grain Execution on Workstation Clusters Using PAPERS	p. 31
Solving Alignment Using Elementary Linear Algebra	p. 46
Detecting and Using Affinity in an Automatic Data Distribution Tool	p. 61
Array Distribution in Data-Parallel Programs	p. 76
Communication-Free Parallelization via Affine Transformations	p. 92
Finding Legal Reordering Transformations Using Mappings	p. 107
A New Algorithm for Global Optimization for Parallelism and Locality	p. 125
Polaris: Improving the Effectiveness of Parallelizing Compilers	p. 141
A Formal Approach to the Compilation of Data-Parallel Languages	p. 155
The Data Partitioning Graph: Extending Data and Control Dependencies for Data Partitioning	p. 170
Detecting Value-Based Scalar Dependence	p. 186
Minimal Data Dependence Abstractions for Loop Transformations	p. 201
Differences in Algorithmic Parallelism in Control Flow and Call Multigraphs	p. 217
Flow-Insensitive Interprocedural Alias Analysis in the Presence of Pointers	p. 234
Incremental Generation of Index Sets for Array Statement Execution on Distributed-Memory Machines	p. 251
A Unified Data-Flow Framework for Optimizing Communication	p. 266
Interprocedural Communication Optimizations for Distributed Memory Compilation	p. 283
Analysis of Event Synchronization in Parallel Programs	p. 300
Computing Communication Sets for Control Parallel Programs	p. 316
Optimizing Parallel SPMD Programs	p. 331
An Overview of the Opus Language and Runtime System	p. 346
SIMPLE Performance Results in ZPL	p. 361
Cid: A Parallel, "Shared-Memory" C for Distributed-Memory Machines	p. 376
EQ: Overview of a New Language Approach for Prototyping Scientific Computation	p. 391
Reshaping Access Patterns for Generating Sparse Codes	p. 406
Evaluating Two Loop Transformations for Reducing Multiple-Writer False Sharing	p. 423
Parallelizing Tree Algorithms: Overhead vs. Parallelism	p. 440
Autoscheduling in a Distributed Shared-Memory Environment	p. 455
Optimizing Array Distributions in Data-Parallel Programs	p. 472
Automatic Reduction Tree Generation for Fine-Grain Parallel Architectures when Iteration Count is Unknown	p. 487
Table of Contents provided by Blackwell. All Rights Reserved.

Languages and Compilers for Parallel Computing

7th International Workshop, Ithaca, NY, USA, August 8 - 10, 1994. Proceedings

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