Elements of Parallel Computing (Chapman & Hall/CRC by Eric Aubanel

By Eric Aubanel

Designed for introductory parallel computing classes on the complex undergraduate or starting graduate point, Elements of Parallel Computing provides the basic strategies of parallel computing no longer from the perspective of undefined, yet from a extra summary view of algorithmic and implementation styles. the purpose is to facilitate the educating of parallel programming by means of surveying a few key algorithmic constructions and programming versions, including an summary illustration of the underlying undefined. The presentation is pleasant and casual. The content material of the booklet is language impartial, utilizing pseudocode that represents universal programming language models.

The first 5 chapters current center options in parallel computing. SIMD, shared reminiscence, and allotted reminiscence computing device versions are coated, besides a quick dialogue of what their execution types seem like. The e-book additionally discusses decomposition as a primary job in parallel algorithmic layout, beginning with a naive instance, and carrying on with with a dialogue of a few key algorithmic buildings. vital programming versions are offered extensive, in addition to very important options of functionality research, together with work-depth research of activity graphs, verbal exchange research of dispensed reminiscence algorithms, key functionality metrics, and a dialogue of boundaries to acquiring strong functionality.

The moment a part of the e-book provides 3 case experiences that toughen the innovations of the sooner chapters. One function of those chapters is to distinction diverse ideas to an analogous challenge, utilizing decide upon difficulties that are not mentioned often in parallel computing textbooks. They contain the only resource Shortest course challenge, the Eikonal equation, and a classical computational geometry challenge: computation of the two-dimensional convex hull. After featuring the matter and sequential algorithms, each one bankruptcy first discusses the resources of parallelism then surveys parallel algorithms.



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