Overview
Optimizing HPC Applications with Intel® Cluster Tools combines an easygoing and informal style with a systematic methodology of parallel program optimization.
Real-life examples convey the best known optimization methods applicable in high-performance Linux environments.
Buy print copy
Tax calculation will be finalised at checkout
Table of contents (8 chapters)
-
Front Matter
-
Back Matter
About this book
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.
About the authors
Bibliographic Information
Book Title: Optimizing HPC Applications with Intel Cluster Tools
Book Subtitle: Hunting Petaflops
Authors: Alexander Supalov, Andrey Semin, Michael Klemm, Christopher Dahnken
DOI: https://doi.org/10.1007/978-1-4302-6497-2
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Professional and Applied Computing (R0), Apress Access Books
Copyright Information: Alexander Supalov and Andrey Semin and Christopher Dahnken and Michael Klemm 2014
License: CC BY-NC
Softcover ISBN: 978-1-4302-6496-5Published: 06 October 2014
eBook ISBN: 978-1-4302-6497-2Published: 09 October 2014
Edition Number: 1
Number of Pages: XXIV, 300
Number of Illustrations: 74 b/w illustrations
Topics: Programming Languages, Compilers, Interpreters, Software Engineering/Programming and Operating Systems