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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 1 Array data flow analysis for load-store optimizations in superscalar architectures
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    Chapter 2 An experimental study of an ILP-based exact solution method for software pipelining
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    Chapter 3 Insertion scheduling: An alternative to list scheduling for modulo schedulers
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    Chapter 4 Interprocedural array region analyses
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    Chapter 5 Interprocedural analysis for parallelization
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    Chapter 6 Interprocedural array data-flow analysis for cache coherence
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    Chapter 7 An interprocedural parallelizing compiler and its support for memory hierarchy research
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    Chapter 8 V-cal: a calculus for the compilation of data parallel languages
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    Chapter 9 Transitive closure of infinite graphs and its applications
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    Chapter 10 Demand-driven, symbolic range propagation
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    Chapter 11 Optimizing Fortran 90 shift operations on distributed-memory multicomputers
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    Chapter 12 A loop parallelization algorithm for HPF compilers
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    Chapter 13 Fast address sequence generation for data-parallel programs using integer lattices
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    Chapter 14 Compiling array statements for efficient execution on distributed-memory machines: Two-level mappings
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    Chapter 15 A communication backend for parallel language compilers
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    Chapter 16 Parallel simulation of data parallel programs
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    Chapter 17 A parallel processing support library based on synchronized aggregate communication
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    Chapter 18 FALCON: A MATLAB interactive restructuring compiler
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    Chapter 19 A simple mechanism for improving the accuracy and efficiency of instruction-level disambiguation
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    Chapter 20 Hoisting branch conditions —improving super-scalar processor performance
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    Chapter 21 Integer loop code generation for VLIW
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    Chapter 22 Dependence analysis in parallel loops with i ± k subscripts
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    Chapter 23 Piecewise execution of nested data-parallel programs
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    Chapter 24 Recovering logical structures of data
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    Chapter 25 Efficient distribution analysis via graph contraction
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    Chapter 26 Automatic selection of dynamic data partitioning schemes for distributed-memory multicomputers
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    Chapter 27 Data redistribution in an automatic data distribution tool
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    Chapter 28 General purpose optimization technology
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    Chapter 29 Compiler architectures for heterogeneous systems
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    Chapter 30 Virtual topologies: A new concurrency abstraction for high-level parallel languages
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    Chapter 31 Interprocedural data flow based optimizations for compilation of irregular problems
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    Chapter 32 Automatic parallelization of the conjugate gradient algorithm
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    Chapter 33 Annotations for a sparse compiler
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    Chapter 34 Connection analysis: A practical interprocedural heap analysis for C
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    Chapter 35 Language and run-time support for network parallel computing
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    Chapter 36 Agents: An undistorted representation of problem structure
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    Chapter 37 Type directed cloning for Object-Oriented programs
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    Chapter 38 The performance impact of granularity control and functional parallelism
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Citations

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Title
Languages and Compilers for Parallel Computing
Published by
Springer Science & Business Media, January 1996
DOI 10.1007/bfb0014187
ISBNs
978-3-54-060765-6, 978-3-54-049446-1
Editors

Chua-Huang Huang, Ponnuswamy Sadayappan, Utpal Banerjee, David Gelernter, Alex Nicolau, David Padua

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%