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Languages and Compilers for Parallel Computing

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Cover of 'Languages and Compilers for Parallel Computing'

Table of Contents

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    Book Overview
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    Chapter 36 Compilation of a highly parallel Actor-Based Language
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    Chapter 37 A concurrent execution semantics for Parallel Program Graphs and Program Dependence Graphs
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    Chapter 38 Using profile information to assist advanced compiler optimization and scheduling
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    Chapter 39 A hierarchical parallelizing compiler for VLIW/MIMD machines
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    Chapter 40 Dynamic dependence analysis: A novel method for data dependence evaluation
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    Chapter 41 On the feasibility of dynamic partitioning of pointer structures
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    Chapter 42 Compiler analysis for irregular problems in fortran D
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    Chapter 43 Data ensembles in Orca C
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    Chapter 44 Compositional C++: Compositional parallel programming
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    Chapter 45 Data parallelism and Linda
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    Chapter 46 Techniques for efficient execution of fine-grained concurrent programs
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    Chapter 47 Computing per-process summary side-effect information
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    Chapter 48 Supporting SPMD execution for dynamic data structures
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    Chapter 49 Determining transformation sequences for loop parallelization
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    Chapter 50 Compiler optimizations for massively parallel machines: Transformations on iterative spatial loops
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    Chapter 51 Handling distributed data in Vienna Fortran procedures
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    Chapter 52 On the synthesis of parallel programs from tensor product formulas for block recursive algorithms
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    Chapter 53 Collective loop fusion for array contraction
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    Chapter 54 Parallel hybrid data flow algorithms: A case study
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    Chapter 55 A control-parallel programming model implemented on SIMD hardware
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    Chapter 56 C ** : A large-grain, object-oriented, data-parallel programming language
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    Chapter 57 A calculus of gamma programs
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    Chapter 58 A Linda-based runtime system for a distributed logic language
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    Chapter 59 Parallelizing a C Dialect for distributed memory MIMD machines
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    Chapter 60 A singular loop transformation framework based on non-singular matrices
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    Chapter 61 Designing the McCAT compiler based on a family of structured intermediate representations
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    Chapter 62 Doany: Not just another parallel loop
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    Chapter 63 Data dependence and data-flow analysis of arrays
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    Chapter 64 Experience with techniques for refining data race detection
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    Chapter 65 Extending the Banerjee-Wolfe test to handle execution conditions
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    Chapter 66 A FORTRAN compiling method for dataflow machines and its prototype compiler for the parallel processing system-Harray
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    Chapter 67 Distributed slicing and partial re-execution for distributed programs
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    Chapter 68 A program's eye view of Miprac
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    Chapter 69 Symbolic program analysis and optimization for parallelizing compilers
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    Chapter 70 Utilizing new communication features in compilation for private-memory machines
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Title
Languages and Compilers for Parallel Computing
Published by
Springer Science & Business Media, December 1993
DOI 10.1007/3-540-57502-2
ISBNs
978-3-54-057502-3, 978-3-54-048201-7
Editors

Banerjee, Utpal, Gelernter, David, Nicolau, Alex, Padua, David

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 75%
Researcher 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Medicine and Dentistry 1 25%