Computing with T Node Parallel Architecture

Heidrich, D.; Grossetie, J. C. (eds)

ISBN 10: 0792314832 / ISBN 13: 9780792314837

Published by Kluwer Academic Publishers, 1991

About this Item

Cover in excellent, clean condition. Library stickers on spine, front inside cover and FEP. Library stamps on page block, inside covers and various interior pages (but text is not obscured). Some numbers written on the front, and back inside cover. Pages are clean, tight, bright and white. Informative diagrams and charts illustrate the text. Seller Inventory # 148990

Bibliographic Details

Title: Computing with T Node Parallel Architecture

Publisher: Kluwer Academic Publishers

Publication Date: 1991

Binding: hardcover

Condition: Very Good

Dust Jacket Condition: No Dust Jacket

About this title

Synopsis:

Parallel processing is seen today as the means to improve the power of computing facilities by breaking the Von Neumann bottleneck of conventional sequential computer architectures. By defining appropriate parallel computation models definite advantages can be obtained. Parallel processing is the center of the research in Europe in the field of Information Processing Systems so the CEC has funded the ESPRIT Supemode project to develop a low cost, high performance, multiprocessor machine. The result of this project is a modular, reconfigurable architecture based on !NMOS transputers: T.Node. This machine can be considered as a research, industrial and commercial success. The CEC has decided to continue to encourage manufacturers as well as research and end-users of transputers by funding other projects in this field. This book presents course papers of the Eurocourse given at the Joint Research Centre in ISPRA (Italy) from the 4th to 8 of November 1991. First we present an overview of various trends in the design of parallel architectures and specially of the T.Node with it's software development environments, new distributed system aspects and also new hardware extensions based on the !NMOS T9000 processor. In a second part, we review some real case applications in the field of image synthesis, image processing, signal processing, terrain modeling, particle physics simulation and also enhanced parallel and distributed numerical methods on T.Node.