Parallel Processing and Applied Mathematics: 11th International Conference, PPAM 2015, Krakow, Poland, September 6-9, 2015. Revised Selected Papers, Part I: Lecture Notes in Computer Science, cartea 9573
Editat de Roman Wyrzykowski, Ewa Deelman, Jack Dongarra, Konrad Karczewski, Jacek Kitowski, Kazimierz Wiatren Limba Engleză Paperback – 3 apr 2016
This two-volume set LNCS 9573 and LNCS 9574 constitutes the refereed proceedings of the 11th International Conference of Parallel Processing and Applied Mathematics, PPAM 2015, held in Krakow, Poland, in September 2015.
The 111 revised full papers presented in both volumes were carefully reviewed and selected from 196 submissions. The focus of PPAM 2015 was on models, algorithms, and software tools which facilitate efficient and convenient utilization of modern parallel and distributed computing architectures, as well as on large-scale applications, including big data problems.
Toate formatele și edițiile | Preț | Express |
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Paperback (2) | 342.70 lei 6-8 săpt. | |
Springer International Publishing – 3 apr 2016 | 342.70 lei 6-8 săpt. | |
Springer International Publishing – 3 apr 2016 | 342.70 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783319321486
ISBN-10: 331932148X
Pagini: 622
Ilustrații: XXIV, 622 p. 229 illus.
Dimensiuni: 155 x 235 x 33 mm
Greutate: 0.89 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Cham, Switzerland
ISBN-10: 331932148X
Pagini: 622
Ilustrații: XXIV, 622 p. 229 illus.
Dimensiuni: 155 x 235 x 33 mm
Greutate: 0.89 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Cham, Switzerland
Cuprins
Parallel Architectures and Resilience.- Numerical Algorithms and Parallel Scientific Computing.- Parallel Non-Numerical Algorithms.- Tools and Environments for Parallel/Distributed/Cloud Computing.- Application of Parallel Computing.- Neural Networks, Evolutionary Computing and Metaheuristics.- Minisymposium on GPU Computing.- Special Session on Efficient Algorithms for Problems with Matrix and Tensor Decompositions.
Caracteristici
Includes supplementary material: sn.pub/extras