Take a Tour of High Performance Computing with “Optimizing HPC Applications with Intel Cluster Tools”—Released by Apress Media
New York, NY (PRWEB) October 22, 2014 -- High performance computing (HPC)—also known as supercomputing—involves solving complex problems across a range of disciplines in business and science using sophisticated supercomputers. This fast-growing sector is in need of more resources for the application scientists who are not experts in code optimization but aim to maximize the performance of their HPC applications. Intel has aimed to fill that gap with its suite of Cluster Tools designed to develop, analyze, and optimize performance of parallel applications on Linux or Windows clusters. Intel has teamed up with Apress to publish “Optimizing HPC Applications with Intel Cluster Tools”: a guide for designing, developing, and optimizing parallel programs on Intel platforms.
The book was written by Intel's Alexander Supalov with support from Andrey Semin, Michael Klemm, and Christopher Dahnken. Supalov, PhD, is Cluster Tools Architect and a Senior Staff Engineer, responsible for setting the direction of the Intel Cluster Studio XE and its components. The newest title in the ApressOpen series, “Optimizing HPC Applications with Intel Cluster Tools” takes the reader on a tour of the burgeoning field 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 examples.
As part of the open access publishing partnership between Apress and Intel, the eBook version of “Optimizing HPC Applications with Intel Cluster Tools” is freely available to download and share under the ApressOpen program. For more information and to download the eBook, please visit http://www.apress.com/9781430264965.
- ISBN: 978-1-4302-6496-5
- 300 Pages
- User Level: Intermediate to Advanced
- Publication Date: October 13th, 2014
- Available eBook Formats: EPUB, MOBI, PDF
- Print Book Price: $39.99
- eBook Price: $0.00
About the Lead Author
Alexander Supalov, PhD, is Intel Cluster Tools Architect and a Senior Staff Engineer at Intel, responsible for setting the direction of the Intel Cluster Studio XE and its components. He spent most of the last two decades designing various message passing libraries for different platforms and using them at system and application levels. Alexander represents Intel Corporation at the MPI Forum, holds ten patents, and sits on the EuroMPI programme committee.
About Apress Media
With more than 1,500 books in print and e-formats, Apress is the authoritative source for IT professionals, software developers, and business leaders all over the world. Apress provides high-quality, no-fluff content that helps serious technology professionals build a comprehensive pathway to career success. Since 2007, Apress has been part of Springer Science+Business Media, one of the world's leading scientific, technical, and medical publishing houses, enabling global distribution of Apress publications. For more information, please visit http://www.apress.com.
ApressOpen is the world’s most effective distribution platform for eBooks. Through ApressOpen, thought leaders in technology communities can share unique learning resources with readers around the world through free distribution of digital content. For more information, contact apressopen(at)apress.com.
Nyomi Anderson, Apress Media LLC, http://www.apress.com, +1 (212) 620-8431, [email protected]
Share this article