Loop Transformations for Performance and Message Latency Hiding in Parallel Object-oriented Frameworks

Loop Transformations for Performance and Message Latency Hiding in Parallel Object-oriented Frameworks

Author:

Publisher:

Published: 2006

Total Pages:

ISBN-13:

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Application codes reliably achieve performance far less than the advertised capabilities of existing architectures, and this problem is worsening with increasingly-parallel machines. For large-scale numerical applications, stencil operations often impose the greater part of the computational cost, and the primary sources of inefficiency are the costs of message passing and poor cache utilization. This paper proposes and demonstrates optimizations for stencil and stencil-like computations for both serial and parallel environments that ameliorate these sources of inefficiency. Additionally, the authors argue that when stencil-like computations are encoded at a high level using object-oriented parallel array class libraries these optimizations, which are beyond the capability of compilers, may be automated.


Computing in Object-Oriented Parallel Environments

Computing in Object-Oriented Parallel Environments

Author: Satoshi Matsuoka

Publisher: Springer

Published: 2006-12-29

Total Pages: 212

ISBN-13: 3540466975

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This book constitutes the refereed proceedings of the Third International Symposium on Computing in Object-Oriented Parallel Environments, ISCOPE 99, held in San Francisco, CA, USA in December 1999. The 14 revised full papers presented together with six short papers were selected from 41 submissions. The papers are devoted to compilers and optimization techniques, new application fields, components and metacomputing, numerical frameworks, generic programming and skeletons, application-specific frameworks, and runtime systems and techniques.


Object Oriented Methods for Interoperable Scientific and Engineering Computing

Object Oriented Methods for Interoperable Scientific and Engineering Computing

Author: Michael E. Henderson

Publisher: SIAM

Published: 1999-01-01

Total Pages: 340

ISBN-13: 9780898714456

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Contains papers presented at the October 1998 SIAM Workshop on Object Oriented Methods for Interoperable Scientific and Engineering Computing that covered a variety of topics and issues related to designing and implementing computational tools for science and engineering.


Improving Scalability with Loop Transformations and Message Aggregation in Parallel Object-oriented Frameworks for Scientific Computing

Improving Scalability with Loop Transformations and Message Aggregation in Parallel Object-oriented Frameworks for Scientific Computing

Author:

Publisher:

Published: 1998

Total Pages: 7

ISBN-13:

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Application codes reliably achieve performance far less than the advertised capabilities of existing architectures, and this problem is worsening with increasingly-parallel machines. For large-scale numerical applications, stencil operations often impose the great part of the computational cost, and the primary sources of inefficiency are the costs of message passing and poor cache utilization. This paper proposes and demonstrates optimizations for stencil and stencil-like computations for both serial and parallel environments that ameliorate these sources of inefficiency. Achieving scalability, they believe, requires both algorithm design and compile-time support. The optimizations they present are automatable because the stencil-like computations are implemented at a high level of abstraction using object-oriented parallel array class libraries. These optimizations, which are beyond the capabilities of today compilers, may be performed automatically by a preprocessor such as the one they are currently developing.


Programming Massively Parallel Processors

Programming Massively Parallel Processors

Author: David B. Kirk

Publisher: Newnes

Published: 2012-12-31

Total Pages: 519

ISBN-13: 0123914183

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Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing. This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers. New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing


并行程序设计

并行程序设计

Author: Foster

Publisher:

Published: 2002

Total Pages: 381

ISBN-13: 9787115103475

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国外著名高等院校信息科学与技术优秀教材


Performance Analysis and Tuning on Modern CPUs

Performance Analysis and Tuning on Modern CPUs

Author:

Publisher: Independently Published

Published: 2020-11-16

Total Pages: 238

ISBN-13:

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Performance tuning is becoming more important than it has been for the last 40 years. Read this book to understand your application's performance that runs on a modern CPU and learn how you can improve it. The 170+ page guide combines the knowledge of many optimization experts from different industries.


GPU Programming in MATLAB

GPU Programming in MATLAB

Author: Nikolaos Ploskas

Publisher: Morgan Kaufmann

Published: 2016-08-25

Total Pages: 320

ISBN-13: 0128051337

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GPU programming in MATLAB is intended for scientists, engineers, or students who develop or maintain applications in MATLAB and would like to accelerate their codes using GPU programming without losing the many benefits of MATLAB. The book starts with coverage of the Parallel Computing Toolbox and other MATLAB toolboxes for GPU computing, which allow applications to be ported straightforwardly onto GPUs without extensive knowledge of GPU programming. The next part covers built-in, GPU-enabled features of MATLAB, including options to leverage GPUs across multicore or different computer systems. Finally, advanced material includes CUDA code in MATLAB and optimizing existing GPU applications. Throughout the book, examples and source codes illustrate every concept so that readers can immediately apply them to their own development. Provides in-depth, comprehensive coverage of GPUs with MATLAB, including the parallel computing toolbox and built-in features for other MATLAB toolboxes Explains how to accelerate computationally heavy applications in MATLAB without the need to re-write them in another language Presents case studies illustrating key concepts across multiple fields Includes source code, sample datasets, and lecture slides


GPU Gems 2

GPU Gems 2

Author: Matt Pharr

Publisher: Addison-Wesley Professional

Published: 2005

Total Pages: 814

ISBN-13: 9780321335593

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More useful techniques, tips, and tricks for harnessing the power of the new generation of powerful GPUs.