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.
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.
Produktdetails
Produktdetails
Theoretical Computer Science and General Issues 9573
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.
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.
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