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Languages and Compilers for Parallel Computing

Overview of attention for book
Cover of 'Languages and Compilers for Parallel Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Just in Time Load Balancing
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    Chapter 2 AlphaZ: A System for Design Space Exploration in the Polyhedral Model
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    Chapter 3 Compiler Optimizations: Machine Learning versus O3
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    Chapter 4 The STAPL Parallel Graph Library
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    Chapter 5 Set and Relation Manipulation for the Sparse Polyhedral Framework
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    Chapter 6 Parallel Clustered Low-Rank Approximation of Graphs and Its Application to Link Prediction
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    Chapter 7 OmpSs-OpenCL Programming Model for Heterogeneous Systems
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    Chapter 8 Compiler Optimizations for Industrial Unstructured Mesh CFD Applications on GPUs
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    Chapter 9 Languages and Compilers for Parallel Computing
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    Chapter 10 A Study on the Impact of Compiler Optimizations on High-Level Synthesis
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    Chapter 11 FlowPools: A Lock-Free Deterministic Concurrent Dataflow Abstraction
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    Chapter 12 Task Parallelism and Data Distribution: An Overview of Explicit Parallel Programming Languages
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    Chapter 13 A Fast Parallel Graph Partitioner for Shared-Memory Inspector/Executor Strategies
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    Chapter 14 A Software-Based Method-Level Speculation Framework for the Java Platform
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    Chapter 15 Ant: A Debugging Framework for MPI Parallel Programs
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    Chapter 16 Compiler Automatic Discovery of OmpSs Task Dependencies
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    Chapter 17 Beyond Do Loops: Data Transfer Generation with Convex Array Regions
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    Chapter 18 Finish Accumulators: An Efficient Reduction Construct for Dynamic Task Parallelism
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    Chapter 19 FlashbackSTM: Improving STM Performance by Remembering the Past
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    Chapter 20 Kaira: Generating Parallel Libraries and Their Usage with Octave
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    Chapter 21 Language and Architecture Independent Software Thread-Level Speculation
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    Chapter 22 Abstractions for Defining Semi-Regular Grids Orthogonally from Stencils
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Citations

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Title
Languages and Compilers for Parallel Computing
Published by
Springer Berlin Heidelberg, April 2013
DOI 10.1007/978-3-642-37658-0
ISBNs
978-3-64-237657-3, 978-3-64-237658-0
Editors

Kasahara, Hironori, Kimura, Keiji

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 13%
Student > Ph. D. Student 1 13%
Unknown 6 75%
Readers by discipline Count As %
Computer Science 2 25%
Unknown 6 75%