Applications of high-performance computing in engineering IV

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書誌事項

Applications of high-performance computing in engineering IV

editor, H. Power

Computational Mechanics Publications, c1995

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注記

"Fourth International Conference on Applications of High-Performance Computing in Engineering, ASE 95. Organised by Wessex Institute of Technology, UK."

Conference held in Milan, Italy, from 19-21 June 1995

Includes bibliographical references and index

内容説明・目次

内容説明

The increasing speed and expanded storage capacity of moder high-performance computers, together with new advanced numerical methods and programming techniques, have greatly improved the ability to solve complex engineering problems. In order to tackle these problems it is necessary to resort to high-performance computing. This usually involves the numerical solution of a system of partial differential equations, with large numbers of degrees of freedom. As the power of computers grows, the problems which can be solved become more elaborate. The application of high-performance computing for numerically intensive problems brings several new issues that do not appear in standard computing. New algorithms and codes are required in order to effectively exploit the use of these novel computer architectures. These conference proceedings discuss the application of high performance computing for numerical intensive problems.

目次

  • Part 1 Algorithms for parallelization and vectorization: parallel approach for transients in grounding systems
  • an efficient parallel approach to reduce sparse matrices with invariant entries. Part 2 Distributed computer systems and networking: using workstation networks for parallel computing
  • genetic algorithms on distributed systems. Part 3 Performance and benchmarking: communciations over ATM - optimizing the communication software
  • comparing the performance of 15 processors using the CPS unit. Part 4 Vector and parallel finite and boundary elements: finite difference and finite element analyses using a cluster of workstations. Part 5 Applications in fluid flow: the explicit alternating direction methods for partial differential equations
  • VIPER - a tool concept to control parallel CFD applications. Part 6 Applications in structural mechanics: MIMD implementation of finite element analysis of viscoelastic polymer matrix composite structures. Part 7 Applications in applied science: a parallel pattern recognition algorithm for biomedical waveform analysis
  • artificial neural networks and real world problems - character recognition and chemical compounds classification. Part 8 Applications in visualization: performance aspects in a complex cognitive architecture for artificial vision
  • resource reservation and media scaling techniques for multimedia communication.

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