Programming for Hybrid Multi/Manycore MPP Systems Programming for Hybrid Multi/Manycore MPP Systems
Chapman & Hall/CRC Computational Science

Programming for Hybrid Multi/Manycore MPP Systems

    • ‏59٫99 US$
    • ‏59٫99 US$

وصف الناشر

"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.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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١٠ أكتوبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
CRC Press
البائع
Taylor & Francis Group
الحجم
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‫م.ب.‬
Multicore and GPU Programming Multicore and GPU Programming
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Scaling OpenMP for Exascale Performance and Portability Scaling OpenMP for Exascale Performance and Portability
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Evolving OpenMP in an Age of Extreme Parallelism Evolving OpenMP in an Age of Extreme Parallelism
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OpenMP: Heterogenous Execution and Data Movements OpenMP: Heterogenous Execution and Data Movements
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OpenMP in a New Era of Parallelism OpenMP in a New Era of Parallelism
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Data Parallel C++ Data Parallel C++
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The Art of Brewing and Fermenting The Art of Brewing and Fermenting
٢٠١٣
High Performance Computing High Performance Computing
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GPU Parallel Program Development Using CUDA GPU Parallel Program Development Using CUDA
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Introduction to Modeling and Simulation with MATLAB® and Python Introduction to Modeling and Simulation with MATLAB® and Python
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Fundamentals of Parallel Multicore Architecture Fundamentals of Parallel Multicore Architecture
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Computational Methods in Plasma Physics Computational Methods in Plasma Physics
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High Performance Computing High Performance Computing
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Introduction to Scheduling Introduction to Scheduling
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