Pub. Date:
Springer Berlin Heidelberg
Languages and Compilers for Parallel Computing: 5th International Workshop, New Haven, Connecticut, USA, August 3-5, 1992. Proceedings / Edition 1

Languages and Compilers for Parallel Computing: 5th International Workshop, New Haven, Connecticut, USA, August 3-5, 1992. Proceedings / Edition 1


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Product Details

ISBN-13: 9783540575023
Publisher: Springer Berlin Heidelberg
Publication date: 12/20/1993
Series: Lecture Notes in Computer Science , #757
Edition description: 1993
Pages: 586
Product dimensions: 6.10(w) x 9.25(h) x 0.05(d)

Table of Contents

Compilation of a highly parallel Actor-Based Language.- A concurrent execution semantics for Parallel Program Graphs and Program Dependence Graphs.- Using profile information to assist advanced compiler optimization and scheduling.- A hierarchical parallelizing compiler for VLIW/MIMD machines.- Dynamic dependence analysis: A novel method for data dependence evaluation.- On the feasibility of dynamic partitioning of pointer structures.- Compiler analysis for irregular problems in fortran D.- Data ensembles in Orca C.- Compositional C++: Compositional parallel programming.- Data parallelism and Linda.- Techniques for efficient execution of fine-grained concurrent programs.- Computing per-process summary side-effect information.- Supporting SPMD execution for dynamic data structures.- Determining transformation sequences for loop parallelization.- Compiler optimizations for massively parallel machines: Transformations on iterative spatial loops.- Handling distributed data in Vienna Fortran procedures.- On the synthesis of parallel programs from tensor product formulas for block recursive algorithms.- Collective loop fusion for array contraction.- Parallel hybrid data flow algorithms: A case study.- A control-parallel programming model implemented on SIMD hardware.- C**: A large-grain, object-oriented, data-parallel programming language.- A calculus of gamma programs.- A Linda-based runtime system for a distributed logic language.- Parallelizing a C Dialect for distributed memory MIMD machines.- A singular loop transformation framework based on non-singular matrices.- Designing the McCAT compiler based on a family of structured intermediate representations.- Doany: Not just another parallel loop.- Data dependence and data-flow analysis of arrays.- Experience with techniques for refining data race detection.- Extending the Banerjee-Wolfe test to handle execution conditions.- A FORTRAN compiling method for dataflow machines and its prototype compiler for the parallel processing system-Harray.- Distributed slicing and partial re-execution for distributed programs.- A program's eye view of Miprac.- Symbolic program analysis and optimization for parallelizing compilers.- Utilizing new communication features in compilation for private-memory machines.

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