Optimizing HPC Applications with Intel Cluster Tools [electronic resource] : Hunting Petaflops / by Alexander Supalov, Andrey Semin, Christopher Dahnken, Michael Klemm.

By: Supalov, Alexander [author.]
Contributor(s): Semin, Andrey [author.] | Dahnken, Christopher [author.] | Klemm, Michael [author.] | SpringerLink (Online service)
Material type: TextTextPublisher: Berkeley, CA : Apress : Imprint: Apress, 2014Edition: 1st ed. 2014Description: XXIV, 300 p. 74 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781430264972Subject(s): Programming languages (Electronic computers) | Software engineering | Programming Languages, Compilers, Interpreters | Software Engineering/Programming and Operating SystemsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.13 LOC classification: QA76.7-76.73QA76.76.C65Online resources: Click here to access online In: Springer Nature Open Access eBookSummary: 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.
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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.

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