High performance parallelism pearls: multicore and many-core programming approaches Volume 2

High Performance Parallelism Pearls Volume 2 offers another set of examples that demonstrate how to leverage parallelism. Similar to Volume 1, the techniques included here explain how to use processors and coprocessors with the same programming - illustrating the most effective ways to combine Xeon...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Beteiligte Personen: Reinders, James (VerfasserIn), Jeffers, James (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Amsterdam Morgan Kaufmann [2015]
Schlagwörter:
Links:http://www.sciencedirect.com/science/book/9780128038192
https://www.sciencedirect.com/science/book/9780128038192
http://www.sciencedirect.com/science/book/9780128038192
http://www.sciencedirect.com/science/book/9780128038192
Zusammenfassung:High Performance Parallelism Pearls Volume 2 offers another set of examples that demonstrate how to leverage parallelism. Similar to Volume 1, the techniques included here explain how to use processors and coprocessors with the same programming - illustrating the most effective ways to combine Xeon Phi coprocessors with Xeon and other multicore processors. The book includes examples of successful programming efforts, drawn from across industries and domains such as biomed, genetics, finance, manufacturing, imaging, and more. Each chapter in this edited work includes detailed explanations of the programming techniques used, while showing high performance results on both Intel Xeon Phi coprocessors and multicore processors. Learn from dozens of new examples and case studies illustrating "success stories" demonstrating not just the features of Xeon-powered systems, but also how to leverage parallelism across these heterogeneous systems. Promotes write-once, run-anywhere coding, showing how to code for high performance on multicore processors and Xeon Phi Examples from multiple vertical domains illustrating real-world use of Xeon Phi coprocessorsSource code available for download to facilitate further exploration
Umfang:1 Online-Ressource (l, 523 Seiten) Illustrationen, Diagramme
ISBN:9780128038901