Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The Haifa 2000 Workshop on ""Inherently Parallel Algorithms for Feasibility and Optimization and their Applications"" brought together top scientists in this area. The objective of the Workshop was to discuss, analyze and compare the latest developments in this fast growing field of applied mathematics and to identify topics of research which are of special interest for industrial applications and for further theoretical study. Inherently parallel algorithms, that is, computational methods which are, by their mathematical nature, parallel, have been studied in various contexts for m

Mathematical optimization --- Parallel algorithms --- Algorithms

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Die ersten Kapitel konzentrieren sich auf die Informatik und beinhalten informatische Grundbegriffe, Rechnerarchitekturen und ein Performancemodell, OpenMP als Programmierumgebung für Mehrkernrechner und MPI und PVM als Programmiermodelle für Rechner mit verteiltem Speicher. Anschließend werden mathematische Algorithmen, Performancebetrachtungen, Design paralleler Programme und Ausführungen zu Simulationsprogrammen aus den Ingenieur- und Naturwissenschaften gegenübergestellt. Die nächsten Kapitel sind Performancebetrachtungen und Parallelisierungsstrategien für mathematische Algorithmen gewidmet, bevor abschließend GPUs behandelt und Teile der zuvor erläuterten Algorithmen auf diese übertragen und diskutiert werden. Roter Faden durch das mit vielen Erläuterungen und Quelltextbeispielen angereicherte Buch ist die Performanceanalyse unterschiedlicher Speicherungstechniken von Feldern am Beispiel der algorithmischen Lösung linearer Gleichungssysteme. Dazu wird zunächst das Gaußsche Eliminationsverfahren auf ein Blockverfahren umgestellt und dieses mit sehr hoher Performance auf einem Mehrkernrechner parallelisiert. Bei der iterativen Lösung linearer Gleichungssysteme steht das konjugierte Gradienten-Verfahren und seine fein granulare Parallelisierung im Vordergrund. Besonderes Augenmerk richtet sich dabei auf die Matrix-Vektor-Multiplikation und die Abhängigkeit der Performance von der Speicherungstechnik der Matrix. Gebietszerlegungsmethoden zur Lösung linearer Gleichungssysteme bieten einen grob granularen Parallelisierungsansatz, der für das massiv parallele Rechnen der fein granularen Parallelisierung auf Schleifenebene überlegen ist.

Parallel processing (Electronic computers) --- Parallel algorithms. --- Algorithms --- High performance computing --- Multiprocessors --- Parallel programming (Computer science) --- Supercomputers

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

mathematics --- modeling --- physics --- numerical analysis --- parallel algorithms --- economical modeling --- Mathematical analysis --- Mathematical models --- Models, Mathematical --- Simulation methods --- 517.1 Mathematical analysis --- Mathematical analysis. --- Mathematical models. --- Advanced calculus --- Analysis (Mathematics) --- Algebra

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This is the first in a new series of books presenting research results and developments concerning the theory and applications of parallel computers, including vector, pipeline, array, fifth/future generation computers, and neural computers.All aspects of high-speed computing fall within the scope of the series, e.g. algorithm design, applications, software engineering, networking, taxonomy, models and architectural trends, performance, peripheral devices.Papers in Volume One cover the main streams of parallel linear algebra: systolic array algorithms, message-passing systems, algorithms for p

Algebras, Linear --- Numerical calculations --- Parallel processing (Electronic computers) --- Parallel algorithms --- Algorithms --- High performance computing --- Multiprocessors --- Parallel programming (Computer science) --- Supercomputers --- Numerical analysis --- Linear algebra --- Algebra, Universal --- Generalized spaces --- Mathematical analysis --- Calculus of operations --- Line geometry --- Topology --- Algèbre linéaire --- Calculs numériques --- Calculs numériques --- Algèbre linéaire --- Parallélisme (Informatique) --- Parallel algorithms. --- Algebras, Linear. --- Numerical calculations. --- Algorithmes --- Analyse numérique. --- Itération (mathématiques) --- Iterative methods (Mathematics) --- Analyse numérique. --- Itération (mathématiques)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book presents major advances in high performance computing as well as major advances due to high performance computing. It contains a collection of papers in which results achieved in the collaboration of scientists from computer science, mathematics, physics, and mechanical engineering are presented. From the science problems to the mathematical algorithms and on to the effective implementation of these algorithms on massively parallel and cluster computers we present state-of-the-art methods and technology as well as exemplary results in these fields. This book shows that problems which seem superficially distinct become intimately connected on a computational level.

Parallel algorithms. --- Parallel processing (Electronic computers) --- Electronic data processing --- Distributed processing. --- Distributed computer systems in electronic data processing --- Distributed computing --- Distributed processing in electronic data processing --- Computer networks --- High performance computing --- Multiprocessors --- Parallel programming (Computer science) --- Supercomputers --- Algorithms --- Computer science. --- Data structures (Computer scienc. --- Computer Communication Networks. --- Computer science --- Mechanical engineering. --- Computational Science and Engineering. --- Data Structures. --- Computational Mathematics and Numerical Analysis. --- Theoretical, Mathematical and Computational Physics. --- Mechanical Engineering. --- Mathematics. --- Engineering, Mechanical --- Engineering --- Machinery --- Steam engineering --- Computer mathematics --- Discrete mathematics --- Informatics --- Science --- Mathematics --- Data structures (Computer science) --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- File organization (Computer science) --- Abstract data types (Computer science) --- Computer mathematics. --- Data structures (Computer science). --- Computer communication systems. --- Mathematical physics. --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Physical mathematics --- Physics --- Distributed processing