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An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style.
From Parallel to Emergent Computing provides a visionary statement on how computing will advance in the next 25 years and what new fields of science will be involved... Læs mere
New techniques (z-transform, graphic, algebraic) for studying and analyzing parallel algorithms and how to use them Case studies throughout th book Problems at the end of each chapter and available solutions manual A companion website to include lecture notes .
This book assumes familiarity with threads (in a language such as Ada, C#, or Java) and introduces the entity-life modeling (ELM)... Læs mere
High Performance Parallel Database Processing and Grid Databases targets the theoretical/conceptual details needed to form a base of... Læs mere
Parallel Computing presents scientific computing techniques applied to parallel computing for the numerical simulation of large-scale problems, which result from systems modeled by partial differential equations.
This book teaches GPU programming by introducing CPU multi-threaded programming and bases GPU massively-parallel programming on this foundation. The... Læs mere
How to become a parallel programmer by learning the twenty-one essential components of OpenMP.
This book constitutes the refereed proceedings of the 19th International Conference on CParallel and Distributed Computing, Applications and Technologies, PDCAT 2018, held in Jeju Island, South Korea, in August 2018.
This book discusses and compares several new trends that can be used to overcome Moore’s law limitations, including Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing.