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Item Details
Title: SCIENTIFIC COMPUTING WITH MULTICORE AND ACCELERATORS
By: Jack J. Dongarra (Editor), David A. Bader (Editor), Jakub Kurzak (Editor)
Format: Hardback

List price: £200.00
Our price: £180.00
Discount:
10% off
You save: £20.00
ISBN 10: 143982536X
ISBN 13: 9781439825365
Availability: Usually dispatched within 1-3 weeks.
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Publisher: TAYLOR & FRANCIS INC
Pub. date: 7 December, 2010
Series: Chapman & Hall/CRC Computational Science
Pages: 514
Description: A work on the use of Cell BE and GPUs as accelerators for numerical kernels, algorithms, and computational science and engineering applications. It covers a range of topics on the increased role of these accelerators in scientific computing.
Synopsis: The hybrid/heterogeneous nature of future microprocessors and large high-performance computing systems will result in a reliance on two major types of components: multicore/manycore central processing units and special purpose hardware/massively parallel accelerators. While these technologies have numerous benefits, they also pose substantial performance challenges for developers, including scalability, software tuning, and programming issues. Researchers at the Forefront Reveal Results from Their Own State-of-the-Art Work Edited by some of the top researchers in the field and with contributions from a variety of international experts, Scientific Computing with Multicore and Accelerators focuses on the architectural design and implementation of multicore and manycore processors and accelerators, including graphics processing units (GPUs) and the Sony Toshiba IBM (STI) Cell Broadband Engine (BE) currently used in the Sony PlayStation 3.The book explains how numerical libraries, such as LAPACK, help solve computational science problems; explores the emerging area of hardware-oriented numerics; and presents the design of a fast Fourier transform (FFT) and a parallel list ranking algorithm for the Cell BE. It covers stencil computations, auto-tuning, optimizations of a computational kernel, sequence alignment and homology, and pairwise computations. The book also evaluates the portability of drug design applications to the Cell BE and illustrates how to successfully exploit the computational capabilities of GPUs for scientific applications. It concludes with chapters on dataflow frameworks, the Charm++ programming model, scan algorithms, and a portable intracore communication framework. Explores the New Computational Landscape of Hybrid Processors By offering insight into the process of constructing and effectively using the technology, this volume provides a thorough and practical introduction to the area of hybrid computing.It discusses introductory concepts and simple examples of parallel computing, logical and performance debugging for parallel computing, and advanced topics and issues related to the use and building of many applications.
Illustrations: 163 black & white illustrations, 37 black & white tables
Publication: US
Imprint: CRC Press Inc
Returns: Returnable
Some other items by this author:
ACCURACY AND RELIABILITY IN SCIENTIFIC COMPUTING (PB)
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APPLIED PARALLEL COMPUTING. COMPUTATIONS IN PHYSICS, CHEMISTRY AND ENGINEERING SCIENCE (PB)
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COMPUTATIONAL SCIENCE (PB)
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COMPUTATIONAL SCIENCE - ICCS 2002 (PB)
COMPUTATIONAL SCIENCE - ICCS 2002 (PB)
COMPUTATIONAL SCIENCE - ICCS 2002 (PB)
COMPUTATIONAL SCIENCE - ICCS 2007 (PB)
COMPUTATIONAL SCIENCE - ICCS 2007 (PB)
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HIGH PERFORMANCE COMPUTING FOR COMPUTATIONAL SCIENCE, VECPAR 2002 (PB)
HIGH PERFORMANCE COMPUTING FOR COMPUTATIONAL SCIENCE, VECPAR 2004 (PB)
HIGH PERFORMANCE HETEROGENEOUS COMPUTING
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LINPACK USER'S GUIDE (PB)
MATRIX EIGENSYSTEM ROUTINES - EISPACK GUIDE (PB)
MATRIX EIGENSYSTEM ROUTINES - EISPACK GUIDE EXTENSION (PB)
MPI - THE COMPLETE REFERENCE (PB)
NUMERICAL LINEAR ALGEBRA FOR HIGH-PERFORMANCE COMPUTERS (PB)
PARALLEL GRAPH ALGORITHMS
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PARALLEL NUMERICAL LINEAR ALGEBRA (HB)
PARALLEL PROCESSING AND APPLIED MATHEMATICS
PARALLEL PROCESSING AND APPLIED MATHEMATICS (PB)
PARALLEL PROCESSING AND APPLIED MATHEMATICS (PB)
PARALLEL PROCESSING AND APPLIED MATHEMATICS (PB)
PARALLEL PROCESSING AND APPLIED MATHEMATICS (PB)
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PARALLEL PROCESSING AND APPLIED MATHEMATICS (PB)
PARALLEL PROCESSING AND APPLIED MATHEMATICS (PB)
PARALLEL PROCESSING AND APPLIED MATHEMATICS, PART I (PB)
PARALLEL PROCESSING AND APPLIED MATHEMATICS, PART II (PB)
PARALLEL PROCESSING AND APPLIED MATHEMATICS, PART II (PB)
PARALLEL PROCESSING FOR SCIENTIFIC COMPUTING (PB)
PARALLEL SCIENTIFIC COMPUTING (PB)
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PETASCALE COMPUTING
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PLTMG: A SOFTWARE PACKAGE FOR SOLVING ELLIPTIC PARTIAL DIFFERENTIAL EQUATIONS (PB)
PROCEEDINGS OF THE FIFTH SIAM CONFERENCE ON PARALLEL PROCESSING FOR SCIENTIFIC COMPUTING (PB)
PROCEEDINGS OF THE SECOND WORKSHOP ON ENVIRONMENTS AND TOOLS FOR PARALLEL SCIENTIFIC COMPUTING (PB)
PVM
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RECENT ADVANCES IN PARALLEL VIRTUAL MACHINE AND MESSAGE PASSING INTERFACE (PB)
RECENT ADVANCES IN PARALLEL VIRTUAL MACHINE AND MESSAGE PASSING INTERFACE (PB)
RECENT ADVANCES IN PARALLEL VIRTUAL MACHINE AND MESSAGE PASSING INTERFACE (PB)
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SCALABLE ALGORITHMS
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SCIENTIFIC COMPUTING WITH MULTICORE AND ACCELERATORS
SCIENTIFIC COMPUTING WITH MULTICORE AND ACCELERATORS
SIMULATING, ANALYZING, AND ANIMATING DYNAMICAL SYSTEMS (PB)
SOLVING LINEAR SYSTEMS ON VECTOR AND SHARED MEMORY COMPUTERS (PB)
TEMPLATES FOR THE SOLUTION OF ALGEBRAIC EIGENVALUE PROBLEMS (PB)
TEMPLATES FOR THE SOLUTION OF LINEAR SYSTEMS (PB)
THE LANCZOS METHOD (PB)
THE SOURCEBOOK OF PARALLEL COMPUTING (HB)
THE TOP500
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UNDERSTANDING SEARCH ENGINES (PB)
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