Algorithms and architectures for parallel processing : ICA3PP 2016 collated workshops, SCDT, TAPEMS, Big Trust, UCER, DLMCS, Granada, Spain, December 14-16, 2016 : proceedings / Jesus Carretero et al. (eds.).
Material type:
TextSeries: Lecture notes in computer science ; 10049. | LNCS sublibrary. SL 1, Theoretical computer science and general issues.Publisher: Cham, Switzerland : Springer, [2016]Description: 1 online resourceContent type: - text
- computer
- online resource
- 9783319499567
- 3319499564
- Parallel processing (Electronic computers) -- Congresses
- Computer architecture -- Congresses
- Computer algorithms -- Congresses
- Parallélisme (Informatique) -- Congrès
- Ordinateurs -- Architecture -- Congrès
- Algorithmes -- Congrès
- Computer algorithms
- Computer architecture
- Parallel processing (Electronic computers)
- 005.1 23
- QA76.58 .I528 2016
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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eBook
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e-Library | eBook LNCS | Available |
Online resource; title from digital title page (viewed on December 19, 2016).
Various dimensions of parallel algorithms and architectures -- Fundamental theoretical approaches -- Practical experimental projects -- Commercial components and systems -- Beyond the limits of existing technologies -- Experimental efforts, innovative systems, and investigations -- identify weaknesses in existing parallel processing technology.
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.