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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 Search Space Properties for Mapping Coarse-Grain Pipelined FPGA Applications
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    Chapter 2 Adapting Convergent Scheduling Using Machine-Learning
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    Chapter 3 TFP: Time-Sensitive, Flow-Specific Profiling at Runtime
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    Chapter 4 A Hierarchical Model of Reference Affinity
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    Chapter 5 Cache Optimization for Coarse Grain Task Parallel Processing Using Inter-Array Padding
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    Chapter 6 Compiler-Assisted Cache Replacement: Problem Formulation and Performance Evaluation
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    Chapter 7 Memory-Constrained Data Locality Optimization for Tensor Contractions
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    Chapter 8 Compositional Development of Parallel Programs
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    Chapter 9 Supporting High-Level Abstractions through XML Technology
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    Chapter 10 Applications of HPJava
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    Chapter 11 Programming for Locality and Parallelism with Hierarchically Tiled Arrays
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    Chapter 12 Co-array Fortran Performance and Potential: An NPB Experimental Study
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    Chapter 13 Evaluating the Impact of Programming Language Features on the Performance of Parallel Applications on Cluster Architectures
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    Chapter 14 Putting Polyhedral Loop Transformations to Work
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    Chapter 15 Index-Association Based Dependence Analysis and its Application in Automatic Parallelization
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    Chapter 16 Improving the Performance of Morton Layout by Array Alignment and Loop Unrolling
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    Chapter 17 Spatial Views: Space-Aware Programming for Networks of Embedded Systems
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    Chapter 18 Operation Reuse on Handheld Devices
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    Chapter 19 Memory Redundancy Elimination to Improve Application Energy Efficiency
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    Chapter 20 Adaptive MPI
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    Chapter 21 MPJava: High-Performance Message Passing in Java Using Java.nio
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    Chapter 22 Polynomial-Time Algorithms for Enforcing Sequential Consistency in SPMD Programs with Arrays
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    Chapter 23 C 3: A System for Automating Application-Level Checkpointing of MPI Programs
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    Chapter 24 The Power of Belady’s Algorithm in Register Allocation for Long Basic Blocks
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    Chapter 25 Load Elimination in the Presence of Side Effects, Concurrency and Precise Exceptions
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    Chapter 26 To Inline or Not to Inline? Enhanced Inlining Decisions
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    Chapter 27 A Preliminary Study on the Vectorization of Multimedia Applications for Multimedia Extensions
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    Chapter 28 A Data Cache with Dynamic Mapping
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    Chapter 29 Compiler-Based Code Partitioning for Intelligent Embedded Disk Processing
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    Chapter 30 Much Ado about Almost Nothing: Compilation for Nanocontrollers
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    Chapter 31 Increasing the Accuracy of Shape and Safety Analysis of Pointer-Based Codes
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    Chapter 32 Slice-Hoisting for Array-Size Inference in MATLAB
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    Chapter 33 Efficient Execution of Multi-query Data Analysis Batches Using Compiler Optimization Strategies
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    Chapter 34 Semantic-Driven Parallelization of Loops Operating on User-Defined Containers
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    Chapter 35 Cetus – An Extensible Compiler Infrastructure for Source-to-Source Transformation
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Title
Languages and Compilers for Parallel Computing
Published by
Springer Science & Business Media, February 2004
DOI 10.1007/b95707
ISBNs
978-3-54-021199-0, 978-3-54-024644-2
Editors

Lawrence Rauchwerger

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 8%
Germany 1 8%
Italy 1 8%
Saudi Arabia 1 8%
Unknown 8 67%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 50%
Researcher 4 33%
Professor 1 8%
Student > Master 1 8%
Readers by discipline Count As %
Computer Science 9 75%
Physics and Astronomy 2 17%
Engineering 1 8%