## Supercomputing: applications, algorithms, and architectures : for the future of supercomputingAs the technology of Supercomputing processes, methodologies for approaching problems have also been developed. The main object of this symposium was the interdisciplinary participation of experts in related fields and passionate discussion to work toward the solution of problems. An executive committee especially arranged for this symposium selected speakers and other participants who submitted papers which are included in this volume. Also included are selected extracts from the two sessions of panel discussion, the "Needs and Seeds of Supercomputing," and "The Future of Supercomputing," which arose during a wide-ranging exchange of viewpoints. |

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### Contents

Scientific Investigations by Supercomputing | 9 |

Lattice Quantum Chromo Dynamics QCD and the Dedicated | 72 |

Computer Applications to Materials Science and Engineering | 81 |

Copyright | |

10 other sections not shown

### Other editions - View all

Supercomputing: Applications, Algorithms, and Architectures For the Future ... Jiro Kondo Limited preview - 2012 |

Supercomputing: Applications, Algorithms, and Architectures For the Future ... Jiro Kondo No preview available - 2011 |

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adaptive method algorithm annealing application approximation error architecture array atomic configurations boundary conditions calculation capability cluster composite materials Computational Mechanics computer science CRAY crystal defined density disk dislocation displacement Doyama dynamics elastic elasticity tensor electrons energy engineering equations example experimental field finite element analysis finite element methods finite element model fluid flow FORTRAN geometry GFLOPS global grid hardware high-speed homogenization method integrated interaction Japan Kikuchi lattice lattice QCD layer linear machine macroscopic main memory mathematical MATLAB matrix microstructure molecular orbital numerical analysis optimization parallel processing parameters performance Phys Rev physical potential processor PU's quench rate shock waves shown in Fig simulation solid solution solve speed stress structure supercomputer surface temperature TFLOPS theory timesteps tion topology transonic turbulence model University of Tokyo variables vector vector/parallel velocity wave function wing