High Performance Computing for Computational Science -- VECPAR 2014 High Performance Computing for Computational Science -- VECPAR 2014

High Performance Computing for Computational Science -- VECPAR 2014

11th International Conference, Eugene, OR, USA, June 30 -- July 3, 2014, Revised Selected Papers

Michel Daydé and Others
    • €42.99
    • €42.99

Publisher Description

This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on High Performance Computing for Computational Science, VECPAR 2014, held in Eugene, OR, USA, in June/July 2014. 

The 25 papers presented were carefully reviewed and selected of numerous submissions. The papers are organized in topical sections on algorithms for GPU and manycores, large-scale applications, numerical algorithms, direct/hybrid methods for solving sparse matrices, performance tuning. The volume also contains the papers presented at the 9th International Workshop on Automatic Performance Tuning.

GENRE
Computing & Internet
RELEASED
2015
20 April
LANGUAGE
EN
English
LENGTH
328
Pages
PUBLISHER
Springer International Publishing
PROVIDER INFO
Springer Science & Business Media LLC
SIZE
7.6
MB
High Performance Computing for Computational Science -- VECPAR 2010 High Performance Computing for Computational Science -- VECPAR 2010
2011
Parallel Processing and Applied Mathematics Parallel Processing and Applied Mathematics
2018
Parallel Processing and Applied Mathematics Parallel Processing and Applied Mathematics
2014
Parallel Processing and Applied Mathematics Parallel Processing and Applied Mathematics
2016
High Performance Computing for Computational Science – VECPAR 2016 High Performance Computing for Computational Science – VECPAR 2016
2017
High Performance Computing High Performance Computing
2017
High Performance Computing for Computational Science -- VECPAR 2010 High Performance Computing for Computational Science -- VECPAR 2010
2011
High Performance Computing for Computational Science - VECPAR 2008 High Performance Computing for Computational Science - VECPAR 2008
2008