Programming Environments for Massively Parallel Distributed Systems | Working Conference of the IFIP WG 10.3, April 25-29, 1994

Karsten M. Decker (u. a.)

ISBN 10: 3034896689 / ISBN 13: 9783034896689

Published by Birkhäuser, 2012

About this Item

Programming Environments for Massively Parallel Distributed Systems | Working Conference of the IFIP WG 10.3, April 25-29, 1994 | Karsten M. Decker (u. a.) | Taschenbuch | xiv | Englisch | 2012 | Birkhäuser | EAN 9783034896689 | Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 105702705

Bibliographic Details

• Title: Programming Environments for Massively Parallel Distributed Systems | Working Conference of the IFIP WG 10.3, April 25-29, 1994
• Publisher: Birkhäuser
• Publication Date: 2012
• Language: English
• ISBN 10: 3034896689
• ISBN 13: 9783034896689
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 24D millimeters 235 millimeters width by 155 millimeters height by 24 millimeters depth
• Weight: 663 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Massively Parallel Systems (MPSs) with their scalable computation and storage space promises are becoming increasingly important for high-performance computing. The growing acceptance of MPSs in academia is clearly apparent. However, in industrial companies, their usage remains low. The programming of MPSs is still the big obstacle, and solving this software problem is sometimes referred to as one of the most challenging tasks of the 1990's. The 1994 working conference on "Programming Environments for Massively Parallel Systems" was the latest event of the working group WG 10.3 of the International Federation for Information Processing (IFIP) in this field. It succeeded the 1992 conference in Edinburgh on "Programming Environments for Parallel Computing". The research and development work discussed at the conference addresses the entire spectrum of software problems including virtual machines which are less cumbersome to program; more convenient programming models; advanced programming languages, and especially more sophisticated programming tools; but also algorithms and applications.