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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

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Size Oblivious Programming with InfiniMem
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    Chapter 2 Low-Overhead Fault-Tolerance Support Using DISC Programming Model
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    Chapter 3 Efficient Support for Range Queries and Range Updates Using Contention Adapting Search Trees
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    Chapter 4 Polyhedral Optimizations for a Data-Flow Graph Language
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    Chapter 5 Concurrent Cilk: Lazy Promotion from Tasks to Threads in C/C ++
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    Chapter 6 Interactive Composition of Compiler Optimizations
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    Chapter 7 Asynchronous Nested Parallelism for Dynamic Applications in Distributed Memory
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    Chapter 8 Multigrain Parallelization for Model-Based Design Applications Using the OSCAR Compiler
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    Chapter 9 HYDRA : Extending Shared Address Programming for Accelerator Clusters
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    Chapter 10 Petal Tool for Analyzing and Transforming Legacy MPI Applications
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    Chapter 11 Automatic and Efficient Data Host-Device Communication for Many-Core Coprocessors
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    Chapter 12 Languages and Compilers for Parallel Computing
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    Chapter 13 An Embedded DSL for High Performance Declarative Communication with Correctness Guarantees in C++
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    Chapter 14 PNNU: Parallel Nearest-Neighbor Units for Learned Dictionaries
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    Chapter 15 Coarse Grain Task Parallelization of Earthquake Simulator GMS Using OSCAR Compiler on Various Cc-NUMA Servers
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    Chapter 16 Conc-Trees for Functional and Parallel Programming
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    Chapter 17 Practical Floating-Point Divergence Detection
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    Chapter 18 SMT Solving for the Theory of Ordering Constraints
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    Chapter 19 An Efficient, Portable and Generic Library for Successive Cancellation Decoding of Polar Codes
Attention for Chapter 19: An Efficient, Portable and Generic Library for Successive Cancellation Decoding of Polar Codes
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
7 Mendeley
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Chapter title
An Efficient, Portable and Generic Library for Successive Cancellation Decoding of Polar Codes
Chapter number 19
Book title
Languages and Compilers for Parallel Computing
Published in
Lecture notes in computer science, February 2016
DOI 10.1007/978-3-319-29778-1_19
Book ISBNs
978-3-31-929777-4, 978-3-31-929778-1
Authors

Adrien Cassagne, Bertrand Le Gal, Camille Leroux, Olivier Aumage, Denis Barthou

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 14%
Student > Ph. D. Student 1 14%
Student > Master 1 14%
Researcher 1 14%
Professor > Associate Professor 1 14%
Other 1 14%
Unknown 1 14%
Readers by discipline Count As %
Engineering 3 43%
Computer Science 2 29%
Unknown 2 29%
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 28 February 2017.
All research outputs
#7,522,368
of 22,957,478 outputs
Outputs from Lecture notes in computer science
#2,491
of 8,134 outputs
Outputs of similar age
#105,697
of 298,252 outputs
Outputs of similar age from Lecture notes in computer science
#49
of 241 outputs
Altmetric has tracked 22,957,478 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 8,134 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 298,252 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 241 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.