The combination of fast, low-latency networks and high-performance, distributed tools for mathematical software has resulted in widespread, affordable scientific computing facilities. Practitioners working in the fields of computer communication networks, distributed computing, computational algebra and numerical analysis have been brought together to contribute to this volume and explore the emerging distributed and parallel technology in a scientific environment. This collection includes surveys and original research on both software infrastructure for parallel applications and hardware and architecture infrastructure. Among the topics covered are switch-based high-speed networks, ATM over local and wide area networks, network performance, application support, finite element methods, eigenvalue problems, invariant subspace decomposition, QR factorization and Todd-Coxseter coset enumeration.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Research
Illustrationen
45
45 s/w Abbildungen
VIII, 237 p. 45 illus.
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 14 mm
Gewicht
ISBN-13
978-3-540-76169-3 (9783540761693)
DOI
Schweitzer Klassifikation
Introduction: High performance computing and the technology of switch-based computer networks.- High Performance Computing and Communication research at the National Science Foundation.- Practical parallel coset enumeration.- High performance computing over switch-based high-speed networks.- ATM High Performance Distributed Computing Laboratory.- Switched Virtual Networking.- Parallel large scale finite element computations.- Employing Deterministic and Stochastic Petri Nets for the analysis of Usage Parameter Control in ATM-networks.- Parallel algorithms for computing rank-revealing QR factorizations.- A distributed algorithm for the construction of invariant subspaces.- ATM in practice.- Measurements, proper scaling and application of communication parameters.- Matrix multiplication over small finite fields on MIMD architectures.- Parallel algorithms for dense eigenvalue problems.- Enhanced communication support for networked applications.
