Applied parallel and scientific computing : 10th International Conference, PARA 2010, Reykjavík, Iceland, June 6-9, 2010, Revised selected papers, Part I

The Resource Applied parallel and scientific computing : 10th International Conference, PARA 2010, Reykjavík, Iceland, June 6-9, 2010, Revised selected papers, Part I
Label
Applied parallel and scientific computing : 10th International Conference, PARA 2010, Reykjavík, Iceland, June 6-9, 2010, Revised selected papers, Part I
Title remainder
10th International Conference, PARA 2010, Reykjavík, Iceland, June 6-9, 2010, Revised selected papers
Title number
Part I
Statement of responsibility
Kristján Jónasson (ed.)
Title variation
PARA 2010
Creator
Contributor
Subject
Genre
Language
eng
Summary
Annotation
Member of
Cataloging source
GW5XE
Dewey number
005.1/1
Index
index present
LC call number
QA76.642
LC item number
.P37 2010
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
  • Lecture notes in computer science,
  • LNCS sublibrary. SL 1, Theoretical computer science and general issues
Series volume
7133
Summary expansion
The two volume set LNCS 7133 and LNCS 7134 constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Applied Parallel and Scientific Computing, PARA 2010, held in Reykjavík, Iceland, in June 2010. These volumes contain three keynote lectures, 29 revised papers and 45 minisymposia presentations arranged on the following topics: cloud computing, HPC algorithms, HPC programming tools, HPC in meteorology, parallel numerical algorithms, parallel computing in physics, scientific computing tools, HPC software engineering, simulations of atomic scale systems, tools and environments for accelerator based computational biomedicine, GPU computing, high performance computing interval methods, real-time access and processing of large data sets, linear algebra algorithms and software for multicore and hybrid architectures in honor of Fred Gustavson on his 75th birthday, memory and multicore issues in scientific computing - theory and praxis, multicore algorithms and implementations for application problems, fast PDE solvers and a posteriori error estimates, and scalable tools for high performance computing
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