The Data Parallel Programming Model

Alain Darte

ISBN 10: 3540617361 / ISBN 13: 9783540617365

Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Sep 1996, 1996

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -This monograph-like book assembles the thorougly revised and cross-reviewed lectures given at the School on Data Parallelism, held in Les Menuires, France, in May 1996.The book is a unique survey on the current status and future perspectives of the currently very promising and popular data parallel programming model. Much attention is paid to the style of writing and complementary coverage of the relevant issues throughout the 12 chapters. Thus these lecture notes are ideally suited for advanced courses or self-instruction on data parallel programming. Furthermore, the book is indispensable reading for anybody doing research in data parallel programming and related areas.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 308 pp. Englisch.

Seller Inventory # 9783540617365

Bibliographic Details

• Title: The Data Parallel Programming Model
• Publisher: Springer Berlin Heidelberg, Springer Berlin Heidelberg Sep 1996
• Publication Date: 1996
• Language: English
• ISBN 10: 3540617361
• ISBN 13: 9783540617365
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 17D millimeters 235 millimeters width by 155 millimeters height by 17 millimeters depth
• Weight: 470 grams

About this title

Synopsis

This monograph-like book assembles the thorougly revised and cross-reviewed lectures given at the School on Data Parallelism, held in Les Menuires, France, in May 1996.
The book is a unique survey on the current status and future perspectives of the currently very promising and popular data parallel programming model. Much attention is paid to the style of writing and complementary coverage of the relevant issues throughout the 12 chapters. Thus these lecture notes are ideally suited for advanced courses or self-instruction on data parallel programming. Furthermore, the book is indispensable reading for anybody doing research in data parallel programming and related areas.