Parallel Processing and Applied Mathematics

11th International Conference, PPAM 2015, Krakow, Poland, September 6-9, 2015. Revised Selected Papers, Part I
1. Auflage 2016
ISBN: 978-3-319-32148-6
Verlag: Springer International Publishing

Buch, Englisch, Band 9573, 622 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 966 g

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Wyrzykowski, Roman

Deelman, Ewa

Wiatr, Kazimierz

Dongarra, Jack

Karczewski, Konrad

Kitowski, Jacek

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Funktionale, Logische, Parallele und Visuelle Programmierung
• Mathematik | Informatik EDV | Informatik Informatik Berechenbarkeitstheorie, Komplexitätstheorie
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Technische Informatik Grid-Computing & Paralleles Rechnen
• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker

Inhaltsverzeichnis

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.