Optimizing HPC Applications with Intel® Cluster Tools

Optimizing HPC Applications with Intel® Cluster Tools takes the reader on a tour of the fast-growing area of high performance computing and the optimization of hybrid programs. These programs typically combine distributed memory and shared memory programming models and use the Message Passing Interf...

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Detaylı Bibliyografya
Asıl Yazarlar: Supalov, Alexander (Yazar), Semin, Andrey (Yazar), Klemm, Michael (Yazar), Dahnken, Christopher (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: Elektronik Ekitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Berkeley, CA : Apress : Imprint: Apress, 2014.
Konular:
Online Erişim:http://dx.doi.org/10.1007/978-1-4302-6497-2
Etiketler: Etiketle
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Diğer Bilgiler
Özet:Optimizing HPC Applications with Intel® Cluster Tools takes the reader on a tour of the fast-growing area of high performance computing and the optimization of hybrid programs. These programs typically combine distributed memory and shared memory programming models and use the Message Passing Interface (MPI) and OpenMP for multi-threading to achieve the ultimate goal of high performance at low power consumption on enterprise-class workstations and compute clusters. The book focuses on optimization for clusters consisting of the Intel® Xeon processor, but the optimization methodologies also apply to the Intel® Xeon Phi™ coprocessor and heterogeneous clusters mixing both architectures. Besides the tutorial and reference content, the authors address and refute many myths and misconceptions surrounding the topic. The text is augmented and enriched by descriptions of real-life situations.
Fiziksel Özellikler:XXIV, 300 p. 74 illus. online resource.
ISBN:9781430264972
DOI:10.1007/978-1-4302-6497-2
Erişim:Open Access