High Performance Computing for Computational Science – VECPAR 2016 High Performance Computing for Computational Science – VECPAR 2016

High Performance Computing for Computational Science – VECPAR 2016

12th International Conference, Porto, Portugal, June 28-30, 2016, Revised Selected Papers

Inês Dutra and Others
    • $39.99
    • $39.99

Publisher Description

This book constitutes the thoroughly refereed post-conference proceedings of the 12fth International Conference on High Performance Computing in Computational Science,
VECPAR 2016, held in Porto, Portugal, in June 2016.
The 20 full papers presented were carefully reviewed and selected from 36 submissions. The papers are organized in topical sections on applications; performance modeling and analysis; low level support; environments/libraries to support parallelization.

GENRE
Computers & Internet
RELEASED
2017
July 13
LANGUAGE
EN
English
LENGTH
285
Pages
PUBLISHER
Springer International Publishing
SELLER
Springer Nature B.V.
SIZE
5.2
MB
Parallel Processing and Applied Mathematics Parallel Processing and Applied Mathematics
2016
Parallel Processing and Applied Mathematics Parallel Processing and Applied Mathematics
2014
Euro-Par 2020: Parallel Processing Euro-Par 2020: Parallel Processing
2020
High Performance Computing for Computational Science – VECPAR 2018 High Performance Computing for Computational Science – VECPAR 2018
2019
Euro-Par 2016: Parallel Processing Euro-Par 2016: Parallel Processing
2016
High Performance Computing for Computational Science -- VECPAR 2010 High Performance Computing for Computational Science -- VECPAR 2010
2011
Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track
2025
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track
2025
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track
2025