Encyclopedia of Parallel Computing

2011
ISBN: 978-0-387-09765-7
Verlag: Springer US

Buch, Englisch, 2175 Seiten, Format (B × H): 198 mm x 266 mm, Gewicht: 5652 g

The Encyclopedia of Parallel Computing covers machine organization, programming, algorithms, and applications. Within each topic area, the Encyclopedia covers concepts, designs, and specific implementations.

The Algorithms area covers concepts such as cache-oblivious algorithms and systolic algorithms; specific numerical and non-numerical algorithms such as parallel matrix-matrix multiplication and graph algorithms; and implementations of algorithms in the form of widely used libraries such as LAPACK. In the area of Architectures, the Encyclopedia reviews sequential consistency and cache coherency; machine classes such as shared-memory multiprocessors and dataflow machines; and specific machines such as IBM’s cell processor and Intel’s multicore machines. The Software area covers concepts such as races and autoparallelization; and designs in the form of parallel programming languages, library interfaces, and operating systems. The Encyclopedia also covers application issues,emphasizing the type of parallel computation involved and the magnitude in terms of computational requirements of the applications.

Zielgruppe

Research

Autoren/Hrsg.

Padua, David

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Verteilte Systeme (Netzwerke)
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Funktionale, Logische, Parallele und Visuelle Programmierung
• Mathematik | Informatik EDV | Informatik Technische Informatik Grid-Computing & Paralleles Rechnen
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing

Inhaltsverzeichnis

General concepts: Speedup.- Efficiency.- Redundancy.- Efficiency.- Isoefficiency.- Amdahl's law.- Computer architecture: Concepts.- Parallel machine designs.- Machines.- Benchmarks.- Parallel programming: Concepts.- Designs.- Algorithms: Concepts.- Algorithms.- Libraries.- SuperLU.- Parallel applications: Computational fluid dynamics.- Bio-molecular simulation (NMAD).- Cosmology.- Quantum Chemistry.

Über Autor(innen)

Padua, David
David Padua is the Donald Biggar Willett Professor of Computer Science at the University of Illinois. His research interests include compiler and languages for parallel computing, race detection, compilation of dynamic languages, and autotuning techniques. He is author or co-author of more than 150 papers in these areas. At Illinois, he has taught courses on compilers and parallel programming and supervised 25 PhD Dissertations. He has served his university and the computer science community as vice-chair of the College of Engineering Executive Committee, chair of the steering committee for the Symposia on Principles and Practices of Parallel Programming (PPoPP), and editorial board member of the Journal of Parallel programming, the Journal of Parallel and Distributed Computing, the IEEE transactions of Parallel and Distributed Processing, and the ACM Transactions on Programming Languages and Systems. He is a fellow of the IEEE and the ACM.