Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Für diesen Artikel ist leider kein Bild verfügbar.

Developing Linear Algebra Codes on Modern Processors

Emerging Research and Opportunities
Buch | Softcover
266 Seiten
2022
Business Science Reference (Verlag)
978-1-7998-7083-8 (ISBN)
CHF 379,95 inkl. MwSt
  • Versand in 15-20 Tagen
  • Versandkostenfrei
  • Auch auf Rechnung
  • Artikel merken
Presents the main characteristics of LA libraries, showing the differences between the standards for sparse and dense versions. The book further explores relevant linear algebra problems and shows, in a clear and understandable way, how to solve them using different computer architectures.
Optimized linear algebra (LA) libraries that are able to exploit the underlying hardware are always of interest in the high-performance computing community. The implementation of LA software has evolved along with computer architecture, while the specification remains unaltered almost from the beginning. It is important to differentiate between the specification of LA libraries and their implementation. Because LA libraries pursue high performance, the implementation for a given architecture needs to be optimized for it specifically. However, the type of operations included in the libraries, the input/output parameters, and the data types to be handled are common to all of them. This is why, while the specification remains constant, the implementation evolves with the creation of new architectures.

Developing Linear Algebra Codes on Modern Processors: Emerging Research and Opportunities presents the main characteristics of LA libraries, showing the differences between the standards for sparse and dense versions. It further explores relevant linear algebra problems and shows, in a clear and understandable way, how to solve them using different computer architectures. Covering topics such as programming models, batched computing, and distributed memory platforms, this premier reference source is an excellent resource for programmers, computer scientists, engineers, students and faculty of higher education, librarians, researchers, and academicians.
Erscheinungsdatum
Sprache englisch
Maße 178 x 254 mm
Gewicht 228 g
Themenwelt Mathematik / Informatik Mathematik Algebra
ISBN-10 1-7998-7083-9 / 1799870839
ISBN-13 978-1-7998-7083-8 / 9781799870838
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich