High Performance Computing for Computational Science - VECPAR 2012 - Info and Reading Options
10th International Conference, Kope, Japan, July 17-20, 2012, Revised Selected Papers
By Michel Daydé
"High Performance Computing for Computational Science - VECPAR 2012" was published by Springer Berlin / Heidelberg in 2013 - Berlin, Heidelberg, it has 468 pages and the language of the book is English.
“High Performance Computing for Computational Science - VECPAR 2012” Metadata:
- Title: ➤ High Performance Computing for Computational Science - VECPAR 2012
- Author: Michel Daydé
- Language: English
- Number of Pages: 468
- Publisher: Springer Berlin / Heidelberg
- Publish Date: 2013
- Publish Location: Berlin, Heidelberg
“High Performance Computing for Computational Science - VECPAR 2012” Subjects and Themes:
- Subjects: ➤ Computer Imaging, Vision, Pattern Recognition and Graphics - Electronic data processing - Algorithm Analysis and Problem Complexity - Computer vision - Computer system performance - Computer science - Arithmetic and Logic Structures - System Performance and Evaluation - Numeric Computing - Computer software
Edition Specifications:
- Weight: 0.747
Edition Identifiers:
- The Open Library ID: OL34487873M - OL19855332W
- ISBN-13: 9783642387173 - 9783642387180
- All ISBNs: 9783642387173 - 9783642387180
AI-generated Review of “High Performance Computing for Computational Science - VECPAR 2012”:
"High Performance Computing for Computational Science - VECPAR 2012" Description:
Open Data:
This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on High Performance Computing for Computational Science, VECPAR 2012, held in Kope, Japan, in July 2012. The 28 papers presented together with 7 invited talks were carefully selected during two rounds of reviewing and revision. The papers are organized in topical sections on CPU computing, applications, finite element method from various viewpoints, cloud and visualization performance, method and tools for advanced scientific computing, algorithms and data analysis, parallel iterative solvers on multicore architectures
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