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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 McFLAT: A Profile-Based Framework for MATLAB Loop Analysis and Transformations
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    Chapter 2 Static Analysis of Dynamic Schedules and Its Application to Optimization of Parallel Programs
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    Chapter 3 Lowering STM Overhead with Static Analysis
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    Chapter 4 A Parallel Numerical Solver Using Hierarchically Tiled Arrays
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    Chapter 5 Tackling Cache-Line Stealing Effects Using Run-Time Adaptation
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    Chapter 6 Locality Optimization of Stencil Applications Using Data Dependency Graphs
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    Chapter 7 Array Regrouping on CMP with Non-uniform Cache Sharing
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    Chapter 8 Sublimation: Expanding Data Structures to Enable Data Instance Specific Optimizations
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    Chapter 9 Optimizing and Auto-tuning Belief Propagation on the GPU
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    Chapter 10 A Programming Language Interface to Describe Transformations and Code Generation
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    Chapter 11 Unified Parallel C for GPU Clusters: Language Extensions and Compiler Implementation
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    Chapter 12 How Many Threads to Spawn during Program Multithreading?
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    Chapter 13 Parallelizing Compiler Framework and API for Power Reduction and Software Productivity of Real-Time Heterogeneous Multicores
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    Chapter 14 Debugging Large Scale Applications in a Virtualized Environment
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    Chapter 15 Optimizing the Exploitation of Multicore Processors and GPUs with OpenMP and OpenCL
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    Chapter 16 CnC-CUDA: Declarative Programming for GPUs
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    Chapter 17 Parallel Graph Partitioning on Multicore Architectures
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    Chapter 18 The STAPL pView
Attention for Chapter 13: Parallelizing Compiler Framework and API for Power Reduction and Software Productivity of Real-Time Heterogeneous Multicores
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mendeley
10 Mendeley
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Chapter title
Parallelizing Compiler Framework and API for Power Reduction and Software Productivity of Real-Time Heterogeneous Multicores
Chapter number 13
Book title
Languages and Compilers for Parallel Computing
Published in
ADS, October 2010
DOI 10.1007/978-3-642-19595-2_13
Book ISBNs
978-3-64-219594-5, 978-3-64-219595-2
Authors

Akihiro Hayashi, Yasutaka Wada, Takeshi Watanabe, Takeshi Sekiguchi, Masayoshi Mase, Jun Shirako, Keiji Kimura, Hironori Kasahara

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 50%
Student > Master 2 20%
Student > Bachelor 1 10%
Researcher 1 10%
Professor > Associate Professor 1 10%
Other 0 0%
Readers by discipline Count As %
Computer Science 10 100%

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