Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8759)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: EASC 2014.
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About this book
The 6 full papers presented together with 6 short papers were carefully reviewed and selected from 17 submissions. They are organized in two topical sections named: toward exascale scientific applications and development environment for exascale applications.
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Keywords
- communications management
- concurrent algorithms
- cross-computing tools and techniques
- distributed computing models
- domain specific languages
- fault tolerance
- massively parallel and high-performance simulations
- message passing
- modeling
- molecular simulation
- monte carlo methods
- optimization
- parallel algorithms
- performance analysis
- runtime environments
- scientific visualization
- simulation
- software debugging
- software performance
- software testing
Table of contents (11 papers)
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Towards Exascale Scientific Applications
-
Development Environment for Exascale Applications
Other volumes
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Solving Software Challenges for Exascale
Editors and Affiliations
Bibliographic Information
Book Title: Solving Software Challenges for Exascale
Book Subtitle: International Conference on Exascale Applications and Software, EASC 2014, Stockholm, Sweden, April 2-3, 2014, Revised Selected Papers
Editors: Stefano Markidis, Erwin Laure
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-15976-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-15975-1Published: 12 March 2015
eBook ISBN: 978-3-319-15976-8Published: 18 February 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VIII, 149
Number of Illustrations: 61 b/w illustrations
Topics: Algorithm Analysis and Problem Complexity, Software Engineering, Computer Communication Networks, Artificial Intelligence, Simulation and Modeling, Programming Techniques