Languages and compilers for parallel computing : 29th International Workshop, LCPC 2016, Rochester, NY, USA, September 28-30, 2016, Revised papers / Chen Ding, John Criswell, Peng Wu (eds.).
LCPC (Workshop) (29th : 2016 : Rochester, N.Y.); Ding, Chen, 1970- editor.; Criswell, John, editor.; Wu, Peng, 1974- editor.
2017
QA76.642
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Title
Languages and compilers for parallel computing : 29th International Workshop, LCPC 2016, Rochester, NY, USA, September 28-30, 2016, Revised papers / Chen Ding, John Criswell, Peng Wu (eds.).
Meeting Name
LCPC (Workshop) (29th : 2016 : Rochester, N.Y.)
ISBN
9783319527093 (electronic book)
3319527096 (electronic book)
9783319527086
DOI
https://doi.org/10.1007/978-3-319-52709-3
Published
Cham, Switzerland : Springer, 2017.
Language
English
Description
1 online resource (xi, 348 pages) : illustrations.
Item Number
10.1007/978-3-319-52709-3 doi
Call Number
QA76.642
Dewey Decimal Classification
004/.35
Summary
This book constitutes the thoroughly refereed post-conference proceedings of the 29th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2016, held in Rochester, NY, USA, in September 2016. The 20 revised full papers presented together with 4 short papers were carefully reviewed. The papers are organized in topical sections on large scale parallelism, resilience and persistence, compiler analysis and optimization, dynamic computation and languages, GPUs and private memory, and runt-time and performance analysis.
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Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 6, 2017).
Added Author
Ding, Chen, 1970- editor.
Criswell, John, editor.
Wu, Peng, 1974- editor.
Series
Lecture notes in computer science ; 10136.
LNCS sublibrary. SL 1, Theoretical computer science and general issues.
Available in Other Form
Print version: 9783319527086
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Large Scale Parallelism
Resilience and Persistence
Compiler Analysis and Optimization
Dynamic Computation and Languages
GPUs and Private Memory
Runt-time and Performance Analysis.

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