High Performance Computing for Computational Science - VECPAR 2004

High Performance Computing for Computational Science - VECPAR 2004
Author :
Publisher : Springer
Total Pages : 747
Release :
ISBN-10 : 9783540318545
ISBN-13 : 3540318542
Rating : 4/5 (45 Downloads)

Book Synopsis High Performance Computing for Computational Science - VECPAR 2004 by : Michel Daydé

Download or read book High Performance Computing for Computational Science - VECPAR 2004 written by Michel Daydé and published by Springer. This book was released on 2005-04-28 with total page 747 pages. Available in PDF, EPUB and Kindle. Book excerpt: VECPAR is a series of international conferences dedicated to the promotion and advancement of all aspects of high-performance computing for computational science, as an industrial technique and academic discipline, extending the fr- tier of both the state of the art and the state of practice. The audience for and participants in VECPAR are seen as researchers in academic departments, g- ernment laboratories and industrial organizations. There is now a permanent website for the series, http://vecpar.fe.up.pt, where the history of the conf- ences is described. ThesixtheditionofVECPARwasthe?rsttimetheconferencewascelebrated outside Porto – at the Universitad Politecnica de Valencia (Spain), June 28–30, 2004. The whole conference programme consisted of 6 invited talks, 61 papers and26posters,outof130contributionsthatwereinitiallysubmitted.Themajor themes were divided into large-scale numerical and non-numerical simulations, parallel and grid computing, biosciences, numerical algorithms, data mining and visualization. This postconference book includes the best 48 papers and 5 invited talks presented during the three days of the conference. The book is organized into 6 chapters, with a prominent position reserved for the invited talks and the Best Student Paper. As a whole it appeals to a wide research community, from those involved in the engineering applications to those interested in the actual details of the hardware or software implementations, in line with what, in these days, tends to be considered as computational science and engineering (CSE).


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