↓ Skip to main content

Languages and Compilers for Parallel Computing

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 McFLAT: A Profile-Based Framework for MATLAB Loop Analysis and Transformations
  3. Altmetric Badge
    Chapter 2 Static Analysis of Dynamic Schedules and Its Application to Optimization of Parallel Programs
  4. Altmetric Badge
    Chapter 3 Lowering STM Overhead with Static Analysis
  5. Altmetric Badge
    Chapter 4 A Parallel Numerical Solver Using Hierarchically Tiled Arrays
  6. Altmetric Badge
    Chapter 5 Tackling Cache-Line Stealing Effects Using Run-Time Adaptation
  7. Altmetric Badge
    Chapter 6 Locality Optimization of Stencil Applications Using Data Dependency Graphs
  8. Altmetric Badge
    Chapter 7 Array Regrouping on CMP with Non-uniform Cache Sharing
  9. Altmetric Badge
    Chapter 8 Sublimation: Expanding Data Structures to Enable Data Instance Specific Optimizations
  10. Altmetric Badge
    Chapter 9 Optimizing and Auto-tuning Belief Propagation on the GPU
  11. Altmetric Badge
    Chapter 10 A Programming Language Interface to Describe Transformations and Code Generation
  12. Altmetric Badge
    Chapter 11 Unified Parallel C for GPU Clusters: Language Extensions and Compiler Implementation
  13. Altmetric Badge
    Chapter 12 How Many Threads to Spawn during Program Multithreading?
  14. Altmetric Badge
    Chapter 13 Parallelizing Compiler Framework and API for Power Reduction and Software Productivity of Real-Time Heterogeneous Multicores
  15. Altmetric Badge
    Chapter 14 Debugging Large Scale Applications in a Virtualized Environment
  16. Altmetric Badge
    Chapter 15 Optimizing the Exploitation of Multicore Processors and GPUs with OpenMP and OpenCL
  17. Altmetric Badge
    Chapter 16 CnC-CUDA: Declarative Programming for GPUs
  18. Altmetric Badge
    Chapter 17 Parallel Graph Partitioning on Multicore Architectures
  19. Altmetric Badge
    Chapter 18 The STAPL pView
Attention for Chapter 11: Unified Parallel C for GPU Clusters: Language Extensions and Compiler Implementation
Altmetric Badge

Mentioned by

wikipedia
1 Wikipedia page

Readers on

mendeley
6 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Unified Parallel C for GPU Clusters: Language Extensions and Compiler Implementation
Chapter number 11
Book title
Languages and Compilers for Parallel Computing
Published in
ADS, October 2010
DOI 10.1007/978-3-642-19595-2_11
Book ISBNs
978-3-64-219594-5, 978-3-64-219595-2
Authors

Li Chen, Lei Liu, Shenglin Tang, Lei Huang, Zheng Jing, Shixiong Xu, Dingfei Zhang, Baojiang Shou, Chen, Li, Liu, Lei, Tang, Shenglin, Huang, Lei, Jing, Zheng, Xu, Shixiong, Zhang, Dingfei, Shou, Baojiang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 33%
Student > Bachelor 1 17%
Student > Ph. D. Student 1 17%
Researcher 1 17%
Professor > Associate Professor 1 17%
Other 0 0%
Readers by discipline Count As %
Computer Science 6 100%
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
#7,554,540
of 23,045,021 outputs
Outputs from ADS
#9,313
of 37,452 outputs
Outputs of similar age
#35,515
of 99,956 outputs
Outputs of similar age from ADS
#129
of 387 outputs
Altmetric has tracked 23,045,021 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 37,452 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 99,956 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 387 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.