High-Performance Computing on the Intel® Xeon PhiTM

Download or Read eBook High-Performance Computing on the Intel® Xeon PhiTM PDF written by Endong Wang and published by Springer. This book was released on 2014-06-26 with total page 349 pages. Available in PDF, EPUB and Kindle.
High-Performance Computing on the Intel® Xeon PhiTM
Author :
Publisher : Springer
Total Pages : 349
Release :
ISBN-10 : 9783319064864
ISBN-13 : 331906486X
Rating : 4/5 (64 Downloads)

Book Synopsis High-Performance Computing on the Intel® Xeon PhiTM by : Endong Wang

Book excerpt: The aim of this book is to explain to high-performance computing (HPC) developers how to utilize the Intel® Xeon PhiTM series products efficiently. To that end, it introduces some computing grammar, programming technology and optimization methods for using many-integrated-core (MIC) platforms and also offers tips and tricks for actual use, based on the authors’ first-hand optimization experience. The material is organized in three sections. The first section, “Basics of MIC”, introduces the fundamentals of MIC architecture and programming, including the specific Intel MIC programming environment. Next, the section on “Performance Optimization” explains general MIC optimization techniques, which are then illustrated step-by-step using the classical parallel programming example of matrix multiplication. Finally, “Project development” presents a set of practical and experience-driven methods for using parallel computing in application projects, including how to determine if a serial or parallel CPU program is suitable for MIC and how to transplant a program onto MIC. This book appeals to two main audiences: First, software developers for HPC applications – it will enable them to fully exploit the MIC architecture and thus achieve the extreme performance usually required in biological genetics, medical imaging, aerospace, meteorology and other areas of HPC. Second, students and researchers engaged in parallel and high-performance computing – it will guide them on how to push the limits of system performance for HPC applications.


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