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Parallel processing (Electronic computers) --- Computer architecture. --- Parallélisme (Informatique) --- Ordinateurs --- Architecture --- Computer architecture --- High performance computing --- Multiprocessors --- Parallel programming (Computer science) --- Supercomputers --- Architecture, Computer --- Parallélisme (Informatique)

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High Performance Computing is an integrated computing environment for solving large-scale computational demanding problems in science, engineering and business. Newly emerging areas of HPC applications include medical sciences, transportation, financial operations and advanced human-computer interface such as virtual reality. High performance computing includes computer hardware, software, algorithms, programming tools and environments, plus visualization. The book addresses several of these key components of high performance technology and contains descriptions of the state-of-the-art compu

High performance computing.

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Introduction The PARA workshops in the past were devoted to parallel computing methods in science and technology. There have been seven PARA meetings to date: PARA’94, PARA’95 and PARA’96 in Lyngby, Denmark, PARA’98 in Umea, ? Sweden, PARA 2000 in Bergen, N- way, PARA 2002 in Espoo, Finland, and PARA 2004 again in Lyngby, Denmark. The ?rst six meetings featured lectures in modern numerical algorithms, computer science, en- neering, and industrial applications, all in the context of scienti?c parallel computing. This meeting in the series, the PARA 2004 Workshop with the title “State of the Art in Scienti?c Computing”, was held in Lyngby, Denmark, June 20–23, 2004. The PARA 2004 Workshop was organized by Jack Dongarra from the University of Tennessee and Oak Ridge National Laboratory, and Kaj Madsen and Jerzy Was ´niewski from the Technical University of Denmark. The emphasis here was shifted to high-performance computing (HPC). The ongoing development of ever more advanced computers provides the potential for solving increasingly dif?cult computational problems. However, given the complexity of modern computer architectures, the task of realizing this potential needs careful attention. For example, the failure to exploit a computer’s memory hi- archy can degrade performance badly. A main concern of HPC is the development of software that optimizes the performance of a given computer. The high cost of state-of-the-art computers can be prohibitive for many workplaces, especially if there is only an occasional need for HPC.

Parallel processing (Electronic computers) --- Science --- Technology --- Parallélisme (Informatique) --- Sciences --- Technologie --- Congresses. --- Data processing --- Congrès --- Informatique --- High performance computing --- Computer Science --- Engineering & Applied Sciences --- Computer science. --- Science. --- Architecture, Computer. --- Software engineering. --- Computers. --- Algorithms. --- Computer science --- Computer Science. --- Computer System Implementation. --- Theory of Computation. --- Science, general. --- Mathematics of Computing. --- Software Engineering/Programming and Operating Systems. --- Algorithm Analysis and Problem Complexity. --- Mathematics. --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Algorism --- Algebra --- Arithmetic --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Computer software engineering --- Engineering --- Architecture, Computer --- Natural science --- Science of science --- Informatics --- Mathematics --- Foundations --- Computer network architectures. --- Information theory. --- Computer software. --- Science, Humanities and Social Sciences, multidisciplinary. --- Software, Computer --- Communication theory --- Communication --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture --- Computer science—Mathematics. --- Computer systems. --- Social sciences. --- Humanities. --- Humanities and Social Sciences. --- Software Engineering. --- Learning and scholarship --- Classical education --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- ADP systems (Computer systems) --- Computing systems --- Systems, Computer --- Electronic systems --- Cyberinfrastructure

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Parallel processing (Electronic computers) --- Vector processing (Computer science) --- Congresses.

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