Alexey L. Lastovetsky – författare
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2 produkter
2 produkter
Del 78 - Wiley Series on Parallel and Distributed Computing
High Performance Heterogeneous Computing
Inbunden, Engelska, 2009
1 404 kr
Skickas inom 5-8 vardagar
An analytical overview of the state of the art, open problems, and future trends in heterogeneous parallel and distributed computingThis book provides an overview of the ongoing academic research, development, and uses of heterogeneous parallel and distributed computing in the context of scientific computing. Presenting the state of the art in this challenging and rapidly evolving area, the book is organized in five distinct parts: Heterogeneous Platforms: Taxonomy, Typical Uses, and Programming IssuesPerformance Models of Heterogeneous Platforms and Design of Heterogeneous AlgorithmsPerformance: Implementation and SoftwareApplicationsFuture TreHigh Performance Heterogeneous Computing is a valuable¿reference for researchers and practitioners in the area of high performance heterogeneous computing. It also serves as an excellent supplemental text for graduate and postgraduate courses in related areas.
Del 10049 - Lecture Notes in Computer Science
Algorithms and Architectures for Parallel Processing
ICA3PP 2016 Collocated Workshops: SCDT, TAPEMS, BigTrust, UCER, DLMCS, Granada, Spain, December 14-16, 2016, Proceedings
Häftad, Engelska, 2016
556 kr
Skickas inom 10-15 vardagar
This book constitutes the refereed workshop proceedings of the 16th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2016, held in Granada, Spain, in December 2016. The 30 full papers presented were carefully reviewed and selected from 58 submissions. They cover many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems trying to push beyond the limits of existing technologies, including experimental efforts, innovative systems, and investigations that identify weaknesses in existing parallel processing technology.