Software For Parallel Computation

Author: Janusz S. Kowalik
Editor: Springer Science & Business Media
ISBN: 3642580491
File Size: 45,24 MB
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This volume contains papers presented at the NATO sponsored Advanced Research Workshop on "Software for Parallel Computation" held at the University of Calabria, Cosenza, Italy, from June 22 to June 26, 1992. The purpose of the workshop was to evaluate the current state-of-the-art of the software for parallel computation, identify the main factors inhibiting practical applications of parallel computers and suggest possible remedies. In particular it focused on parallel software, programming tools, and practical experience of using parallel computers for solving demanding problems. Critical issues relative to the practical use of parallel computing included: portability, reusability and debugging, parallelization of sequential programs, construction of parallel algorithms, and performance of parallel programs and systems. In addition to NATO, the principal sponsor, the following organizations provided a generous support for the workshop: CERFACS, France, C.I.R.A., Italy, C.N.R., Italy, University of Calabria, Italy, ALENIA, Italy, The Boeing Company, U.S.A., CISE, Italy, ENEL - D.S.R., Italy, Alliant Computer Systems, Bull RN Sud, Italy, Convex Computer, Digital Equipment Corporation, Rewlett Packard, Meiko Scientific, U.K., PARSYTEC Computer, Germany, TELMAT Informatique, France, Thinking Machines Corporation.
Software for Parallel Computation
Language: en
Pages: 366
Authors: Janusz S. Kowalik, Lucio Grandinetti
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

This volume contains papers presented at the NATO sponsored Advanced Research Workshop on "Software for Parallel Computation" held at the University of Calabria, Cosenza, Italy, from June 22 to June 26, 1992. The purpose of the workshop was to evaluate the current state-of-the-art of the software for parallel computation, identify
Patterns for Parallel Programming
Language: en
Pages: 355
Authors: Timothy G. Mattson, Beverly A. Sanders, Berna L. Massingill, Berna Massingill
Categories: Computers
Type: BOOK - Published: 2005 - Publisher: Addison-Wesley Professional

The Parallel Programming Guide for Every Software Developer From grids and clusters to next-generation game consoles, parallel computing is going mainstream. Innovations such as Hyper-Threading Technology, HyperTransport Technology, and multicore microprocessors from IBM, Intel, and Sun are accelerating the movement's growth. Only one thing is missing: programmers with the skills
Parallel Processing for Scientific Computing
Language: en
Pages: 397
Authors: Michael A. Heroux, Padma Raghavan, Horst D. Simon
Categories: Computers
Type: BOOK - Published: 2006-01-01 - Publisher: SIAM

Scientific computing has often been called the third approach to scientific discovery, emerging as a peer to experimentation and theory. Historically, the synergy between experimentation and theory has been well understood: experiments give insight into possible theories, theories inspire experiments, experiments reinforce or invalidate theories, and so on. As scientific
Parallel Programming
Language: en
Pages: 516
Authors: Thomas Rauber, Gudula RĂ¼nger
Categories: Computers
Type: BOOK - Published: 2013-06-13 - Publisher: Springer Science & Business Media

Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader
Structured Parallel Programming
Language: en
Pages: 432
Authors: Michael McCool, James Reinders, Arch Robison
Categories: Computers
Type: BOOK - Published: 2012-07-31 - Publisher: Elsevier

Structured Parallel Programming offers the simplest way for developers to learn patterns for high-performance parallel programming. Written by parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders, this book explains how to design and implement maintainable and efficient parallel algorithms using a composable, structured, scalable, and