Programming for Hybrid Multi/Manycore MPP Systems

John Levesque, Aaron Vose

October 31, 2017 by Chapman and Hall/CRC
Reference - 305 Pages - 74 B/W Illustrations
ISBN 9781439873717 - CAT# K13413
Series: Chapman & Hall/CRC Computational Science

USD$89.95

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Features

    • Discusses how to structure applications to take advantage of large multi/manycore massively parallel systems
    • Discusses architectural features of the latest Intel Knight’s Landing (KNL) and Xeon multicore systems
    • Covers how applications can take advantage of the architecture with vectorization and cache optimization
    • Shows real world examples run on KNL and Xeon systems

    Summary

    "Ask not what your compiler can do for you, ask what you can do for your compiler."
    --John Levesque, Director of Cray’s Supercomputing Centers of Excellence

    The next decade of computationally intense computing lies with more powerful multi/manycore nodes where processors share a large memory space. These nodes will be the building block for systems that range from a single node workstation up to systems approaching the exaflop regime. The node itself will consist of 10’s to 100’s of MIMD (multiple instruction, multiple data) processing units with SIMD (single instruction, multiple data) parallel instructions. Since a standard, affordable memory architecture will not be able to supply the bandwidth required by these cores, new memory organizations will be introduced. These new node architectures will represent a significant challenge to application developers.

    Programming for Hybrid Multi/Manycore MPP Systems attempts to briefly describe the current state-of-the-art in programming these systems, and proposes an approach for developing a performance-portable application that can effectively utilize all of these systems from a single application. The book starts with a strategy for optimizing an application for multi/manycore architectures. It then looks at the three typical architectures, covering their advantages and disadvantages.

    The next section of the book explores the other important component of the target—the compiler. The compiler will ultimately convert the input language to executable code on the target, and the book explores how to make the compiler do what we want. The book then talks about gathering runtime statistics from running the application on the important problem sets previously discussed.

    How best to utilize available memory bandwidth and virtualization is covered next, along with hybridization of a program. The last part of the book includes several major applications, and examines future hardware advancements and how the application developer may prepare for those advancements.