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An Introduction to Parallel and Vector Scientific Computation (Hardcover, New)
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An Introduction to Parallel and Vector Scientific Computation (Hardcover, New)
Series: Cambridge Texts in Applied Mathematics
Expected to ship within 12 - 17 working days
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Total price: R1,860
Discovery Miles: 18 600
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In this text, students of applied mathematics, science and
engineering are introduced to fundamental ways of thinking about
the broad context of parallelism. The authors begin by giving the
reader a deeper understanding of the issues through a general
examination of timing, data dependencies, and communication. These
ideas are implemented with respect to shared memory, parallel and
vector processing, and distributed memory cluster computing.
Threads, OpenMP, and MPI are covered, along with code examples in
Fortran, C, and Java. The principles of parallel computation are
applied throughout as the authors cover traditional topics in a
first course in scientific computing. Building on the fundamentals
of floating point representation and numerical error, a thorough
treatment of numerical linear algebra and eigenvector/eigenvalue
problems is provided. By studying how these algorithms parallelize,
the reader is able to explore parallelism inherent in other
computations, such as Monte Carlo methods.
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