An Introduction To Parallel And Vector Scientific Computing (cambridge Texts In Applied Mathematics)
by Ronald W. Shonkwiler /
2006 / English / PDF
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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.
