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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
  2. Altmetric Badge
    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
Overall attention for this book and its chapters
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Mentioned by

wikipedia
1 Wikipedia page

Readers on

mendeley
3 Mendeley
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Title
Languages and Compilers for Parallel Computing
Published by
ADS, February 2011
DOI 10.1007/978-3-642-19595-2
ISBNs
978-3-64-219594-5, 978-3-64-219595-2
Editors

Cooper, Keith, Mellor-Crummey, John, Sarkar, Vivek

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 67%
Unknown 1 33%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 133%
Student > Master 2 67%
Researcher 2 67%
Readers by discipline Count As %
Engineering 6 200%
Psychology 1 33%
Computer Science 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 June 2020.
All research outputs
#7,553,524
of 23,041,514 outputs
Outputs from ADS
#9,313
of 37,451 outputs
Outputs of similar age
#38,986
of 107,432 outputs
Outputs of similar age from ADS
#125
of 492 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,451 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 107,432 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 492 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.