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This book presents the state of the art in parallel numerical
algorithms, applications, architectures, and system software. The
book examines various solutions for issues of concurrency, scale,
energy efficiency, and programmability, which are discussed in the
context of a diverse range of applications. Features: includes
contributions from an international selection of world-class
authorities; examines parallel algorithm-architecture interaction
through issues of computational capacity-based codesign and
automatic restructuring of programs using compilation techniques;
reviews emerging applications of numerical methods in information
retrieval and data mining; discusses the latest issues in dense and
sparse matrix computations for modern high-performance systems,
multicores, manycores and GPUs, and several perspectives on the
Spike family of algorithms for solving linear systems; presents
outstanding challenges and developing technologies, and puts these
in their historical context.
This book presents the state of the art in parallel numerical
algorithms, applications, architectures, and system software. The
book examines various solutions for issues of concurrency, scale,
energy efficiency, and programmability, which are discussed in the
context of a diverse range of applications. Features: includes
contributions from an international selection of world-class
authorities; examines parallel algorithm-architecture interaction
through issues of computational capacity-based codesign and
automatic restructuring of programs using compilation techniques;
reviews emerging applications of numerical methods in information
retrieval and data mining; discusses the latest issues in dense and
sparse matrix computations for modern high-performance systems,
multicores, manycores and GPUs, and several perspectives on the
Spike family of algorithms for solving linear systems; presents
outstanding challenges and developing technologies, and puts these
in their historical context.
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Parallel Algorithms for Irregularly Structured Problems - Third International Workshop, IRREGULAR '96, Santa Barbara, CA, USA, August 19 - 21, 1996. Proceedings (Paperback, 1996 ed.)
Alfonso Ferreira, Jose Rolim, Yousef Saad, Tao Yang
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R1,707
Discovery Miles 17 070
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the Third
International Workshop on Parallel Algorithms for Irregularly
Structured Problems, IRREGULAR '96, held in Santa Barbara,
California, in August 1996.
The volume presents 28 revised full papers selected from 51
submissions; also included are one full invited paper by Torben
Hagerup and abstracts of four other invited talks. The papers are
organized in topical sections on sparse matrix problems,
partitioning and domain composition, irregular applications,
communication and synchronization, systems support, and mapping and
load balancing.
Since the first edition of this book was published in 1996,
tremendous progress has been made in the scientific and engineering
disciplines regarding the use of iterative methods for linear
systems. The size and complexity of the new generation of linear
and nonlinear systems arising in typical applications has grown.
Solving the three-dimensional models of these problems using direct
solvers is no longer effective. At the same time, parallel
computing has penetrated these application areas as it became less
expensive and standardized. Iterative methods are easier than
direct solvers to implement on parallel computers but require
approaches and solution algorithms that are different from
classical methods. The second edition of Iterative Methods for
Sparse Linear Systems gives an in-depth, up-to-date view of
practical algorithms for solving large-scale linear systems of
equations. These equations can number in the millions and are
sparse in the sense that each involves only a small number of
unknowns. The methods described are iterative, i.e., they provide
sequences of approximations that will converge to the solution.
This new edition includes a wide range of the best methods
available today. The author has added a new chapter on multigrid
techniques and has updated material throughout the text,
particularly the chapters on sparse matrices, Krylov subspace
methods, preconditioning techniques, and parallel preconditioners.
Material on older topics has been removed or shortened, numerous
exercises have been added, and many typographical errors have been
corrected. The updated and expanded bibliography now includes more
recent works emphasizing new and important research topics in this
field.
This refereed volume arose from the editors' recognition that
physical scientists, engineers, and applied mathematicians are
developing, in parallel, solutions to problems of parallelization.
The cross-disciplinary field of scientific computation is bringing
about better communication between heterogeneous computational
groups, as they face this common challenge. This volume is one
attempt to provide cross-disciplinary communication. Problem
decomposition and the use of domain-based parallelism in
computational science and engineering was the subject addressed at
a workshop held at the University of Minnesota Supercomputer
Institute in April 1994. The authors were subsequently able to
address the relationships between their individual applications and
independently developed approaches. This book is written for an
interdisciplinary audience and concentrates on transferable
algorithmic techniques, rather than the scientific results
themselves. Cross-disciplinary editing was employed to identify
jargon that needed further explanation and to ensure provision of a
brief scientific background for each chapter at a tutorial level so
that the physical significance of the variables is clear and
correspondences between fields are visible.
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