More Details for: Parallel processing for scientific compu

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Parallel processing for scientific computing [electronic resource] /

edited by Michael A. Heroux, Padma Raghavan, Horst D. Simon.

Book Cover
Names: Heroux, Michael A. | Raghavan, Padma. | Simon, Horst D.
Published: Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 2006.
Series: Software, environments, tools ; 20.
Topics: Parallel processing (Electronic computers)
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Physical Description: 1 electronic text (xxiv, 397 p. : bill. (some col.)) : digital file.
Includes: Includes bibliographical references and index.
ISBN: 9780898718133 (electronic bk.)

System Details: Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Summary: Parallel processing has been an enabling technology in scientific computing for more than 20 years. This book is the first in-depth discussion of parallel computing in 10 years; it reflects the mix of topics that mathematicians, computer scientists, and computational scientists focus on to make parallel processing effective for scientific problems. Presently, the impact of parallel processing on scientific computing varies greatly across disciplines, but it plays a vital role in most problem domains and is absolutely essential in many of them. Parallel Processing for Scientific Computing is divided into four parts: The first concerns performance modeling, analysis, and optimization; the second focuses on parallel algorithms and software for an array of problems common to many modeling and simulation applications; the third emphasizes tools and environments that can ease and enhance the process of application development; and the fourth provides a sampling of applications that require parallel computing for scaling to solve larger and realistic models that can advance science and engineering.
Restrictions: Restricted to subscribers or individual electronic text purchasers.
Other Names: Heroux, Michael A.
Raghavan, Padma.
Simon, Horst D.
Society for Industrial and Applied Mathematics.

More Details for: Parallel processing for scientific compu