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High Performance Heterogeneous Computing
ISBN/GTIN

High Performance Heterogeneous Computing

BookHardcover
Ranking7586in
CHF166.00

Description

A critical work covering high-performance heterogeneous computing Analyzes issues encountered when programming heterogeneous networks Overviews software for parallel and distributed programming for heterogeneous networks The authors efforts provided the first large-scale robust infrastructure for distributed computing and communication.
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Details

ISBN/GTIN978-0-470-04039-3
Product TypeBook
BindingHardcover
Publication countryUnited States
Publishing date04/09/2009
SeriesWiley Series on Parallel and Distributed Computing
Pages280 pages
LanguageEnglish
SizeWidth 161 mm, Height 241 mm, Thickness 19 mm
Weight522 g
Article no.1776692
CatalogsBuchzentrum
Data source no.4813923
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Series

Author

Alexey L. Lastovetsky, PhD, is a Senior Lecturer at the School of Computer Science and Informatics at the University College Dublin (UCD), where he is also the founder and Director of the Heterogeneous Computing Laboratory. His main research interests include algorithms, models, and programming tools for high performance heterogeneous computing. He is the author of mpC, the first parallel programming language for heterogeneous networks of computers. He has published over ninety technical papers in refereed journals and edited books and proceedings for international conferences. He is also the author of Parallel Computing on Heterogeneous Networks (Wiley). Jack J. Dongarra, PhD, is University Distinguished Professor of Computer Science in the Electrical Engineering and Computer Science Department at the University of Tennessee and serves as Distinguished Research Staff in the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL). He is a Turing Fellow in the Computer Science and Mathematics Schools at the University of Manchester and an Adjunct Professor in the Computer Science Department at Rice University. He specializes in numerical algorithms in linear algebra, parallel computing, the use of advanced computer architectures, programming methodology, and tools for parallel computers. His research includes the development, testing, and documentation of high quality mathematical software. He has published approximately 200 articles, papers, reports, or technical memoranda and is the coauthor of several books. He is a member of the IEEE and is the recipient of the IEEE Sid Fernbach Award and the first IEEE Medal of Excellence in Scalable Computing.

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