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portada High-Performance Computing on the Intel(r) Xeon Phi(tm): How to Fully Exploit MIC Architectures
Type
Physical Book
Author
Publisher
Language
English
Pages
338
Format
Paperback
Dimensions
23.4 x 15.6 x 1.9 cm
Weight
0.51 kg.
ISBN13
9783319358796
Edition No.
1
Categories

High-Performance Computing on the Intel(r) Xeon Phi(tm): How to Fully Exploit MIC Architectures

Qing Zhang (Author) · Bo Shen (Author) · Endong Wang (Author) · Springer · Paperback

High-Performance Computing on the Intel(r) Xeon Phi(tm): How to Fully Exploit MIC Architectures - Wang, Endong ; Zhang, Qing ; Shen, Bo

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Synopsis "High-Performance Computing on the Intel(r) Xeon Phi(tm): How to Fully Exploit MIC Architectures"

The aim of this book is to explain to high-performance computing (HPC) developers how to utilize the Intel(R) Xeon Phi(TM) 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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