By Eric Aubanel

Designed for introductory parallel computing classes on the complex undergraduate or starting graduate point, Elements of Parallel Computing provides the basic thoughts of parallel computing now not from the perspective of undefined, yet from a extra summary view of algorithmic and implementation styles. the purpose is to facilitate the instructing of parallel programming by way of surveying a few key algorithmic constructions and programming types, 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 middle recommendations in parallel computing. SIMD, shared reminiscence, and dispensed reminiscence desktop types are coated, besides a quick dialogue of what their execution versions appear like. The publication additionally discusses decomposition as a basic job in parallel algorithmic layout, beginning with a naive instance, and carrying on with with a dialogue of a few key algorithmic constructions. very important programming versions are awarded intensive, in addition to very important suggestions of functionality research, together with work-depth research of job graphs, communique research of allotted reminiscence algorithms, key functionality metrics, and a dialogue of limitations to acquiring stable functionality.

The moment a part of the e-book provides 3 case reports that toughen the strategies of the sooner chapters. One function of those chapters is to distinction varied recommendations to an identical challenge, utilizing pick out 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 offering the matter and sequential algorithms, each one bankruptcy first discusses the resources of parallelism then surveys parallel algorithms.



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