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Algorithms and Architectures for Parallel Processing - 16th International Conference, ICA3PP 2016, Granada, Spain, December 14-16, 2016, Proceedings (Paperback, 1st ed. 2016)
Jesus Carretero, Javier Garcia Blas, Ryan K.l. Ko, Peter Mueller, Koji Nakano
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R1,591
Discovery Miles 15 910
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Ships in 10 - 15 working days
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This book constitutes the refereed 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 and 22 short papers presented
were carefully reviewed and selected from 117 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.
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Algorithms and Architectures for Parallel Processing - ICA3PP 2016 Collocated Workshops: SCDT, TAPEMS, BigTrust, UCER, DLMCS, Granada, Spain, December 14-16, 2016, Proceedings (Paperback, 1st ed. 2016)
Jesus Carretero, Javier Garcia Blas, Victor Gergel, Vladimir Voevodin, Iosif Meyerov, …
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R2,600
Discovery Miles 26 000
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Ships in 10 - 15 working days
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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.
The needs of future digital data and computer systems are expected
to be two to three orders of magnitude larger than for today's
systems, to take account of unprecedented amounts of heterogeneous
hardware, lines of source code, numbers of users, and volumes of
data. Ultrascale computing systems (UCS) are a solution. Envisioned
as large-scale complex systems joining parallel and distributed
computing systems, which can be located at multiple sites and
cooperate to provide the required resources and performance to the
users, these technologies will extend individual systems to provide
the resources that are very much needed. Based on the research work
in the COST Action IC 1305 Network for Sustainable Ultrascale
Computing (NESUS) this book presents important results and methods
towards achieving sustainable UCS. The authors present a wide range
of emerging programming models that facilitate the task of scaling
and extracting performance on continuously evolving platforms,
while providing resilience and fault-tolerant mechanisms to tackle
the increasing probability of failures throughout the entire
software stack. These methods are needed to achieve scale handling,
better programmability and adaptation to rapidly changing
underlying computing architecture, data centric programming models,
resilience, and energy-efficiency.
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