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Take an in-depth look at techniques for the design and analysis of parallel algorithms with this new text. The broad, balanced coverage of important core topics includes sorting and graph algorithms, discrete optimization techniques, and scientific computing applications. The authors focus on parallel algorithms for realistic machine models while avoiding architectures that are unrealizable in practice. They provide numerous examples and diagrams illustrating potentially difficult subjects and conclude each chapter with an extensive list of bibliographic references. In addition, problems of varying degrees of difficulty challenge readers at different levels. Introduction to Parallel Computing is an ideal tool for students and professionals who want insight into problem-solving with parallel computers.
Features:Audience:
Junior/Senior/Graduate Computer Science and Computer Engineering majors
Professional/Reference
Courses:
Distributed Computing
Parallel Programming
Parallel Algorithms
Prerequisites:
Operating Systems and Analysis of Algorithms
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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