Výsledky vyhledávání - "Renate Knecht"

Publikováno v: International Journal of Modern Physics C. :893-897

From presumed world-record simulations up to 48003 and 1125 and from the Ito algorithm applied to smaller 3D lattices we obtain the dynamical critical exponent z near 2.05 in three dimensions and J/kBTc = 0.11391 in five.

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https://doi.org/10.1142/s0129183196000740

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Parallel Computing 91

Autor: Renate Knecht, Hans-Christian Hege

Publikováno v: BASE-Bielefeld Academic Search Engine

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https://doi.org/10.1016/s0167-8191(09)80001-x

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CONPAR 90 — VAPP IV

Autor: Renate Knecht, Siegfried Knecht

Publikováno v: Parallel Computing. 17:113-115

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https://doi.org/10.1016/s0167-8191(05)80024-9

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Size segregation of granular materials in a 3D rotating drum

Autor: Renate Knecht, Christian M. Dury, Gerald H. Ristow

Publikováno v: High-Performance Computing and Networking ISBN: 9783540644439
HPCN Europe

Particle simulations were among the first applications to be implemented on scalar computers over forty years ago, and have since played an important role in many science and engineering applications [ 1, 41. Because of the inherent parallelism in al

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https://doi.org/10.1007/bfb0037214

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Massively Parallel Computing in a Production Environment iPSC/860 Installation at KFA Jülich

Autor: Jutta Docter, Rudolf Berrendorf, Ulrich Detert, Inge Gutheil, Renate Knecht, U. Ehrhart, Michael Gerndt

Publikováno v: Informatik — Wirtschaft — Gesellschaft ISBN: 9783540571926
GI Jahrestagung
Berlin, Heidelberg : Springer Berlin Heidelberg, Informatik aktuell 489-494 (1993). doi:10.1007/978-3-642-78486-6_87
Informatik — Wirtschaft — Gesellschaft / Chapter 87 ISBN: 978-3-540-57192-6=978-3-642-78486-6
Informatik — Wirtschaft — Gesellschaft / Chapter 87 ISBN: 978-3-540-57192-6=978-3-642-78486-623. GI-Jahrestagung, Dresden, Germany, 1993-09-27-1993-10-01

The Research Centre Jülich installed the first Intel Paragon production system in Europe. Prior to that installation an Intel iPSC/860 system was made available last year to allow users to develop parallel programs for such an architecture. This art

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https://doi.org/10.1007/978-3-642-78486-6_87

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Intel Paragon XP/S - Architecture and Software Environment

Autor: Rüdiger Esser, Renate Knecht

Publikováno v: Berlin, Heidelberg : Springer, Informatik aktuell 121-141 (1993). doi:10.1007/978-3-642-78348-7_13
Supercomputer ’93 Chapter 13 ; ISBN: 978-3-540-56948-0=978-3-642-78348-7
Supercomputer ’93 Chapter 13 ; ISBN: 978-3-540-56948-0=978-3-642-78348-7Supercomputer '93, Mannheim, Germany, 1993-06-24-1993-06-26
Supercomputer ’93 ISBN: 9783540569480
Supercomputer

The paper describes the hardware and software components of the Intel Paragon XP/S system, a distributed memory scalable multicomputer. The Paragon processing nodes, which are based on the Intel i860 XP RISC processor, are connected by a two-dimensio

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https://hdl.handle.net/2128/11841

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Implementation of divide-and-conquer algorithms on multiprocessors

Autor: Renate Knecht

Publikováno v: Parallelism, Learning, Evolution ISBN: 9783540550273
Parallelism, Learning, Evolution

Algorithms with a divide-and-conquer structure are suitable candidates for parallelization. The idea of the divide-and-conquer paradigm is to fragment a problem into subproblems of the same kind, to solve the subproblems recursively, and, finally, to

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https://doi.org/10.1007/3-540-55027-5_7

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Parallelizing divide-and-conquer algorithms — Microtasking versus autotasking

Autor: Renate Knecht

Publikováno v: CONPAR 90 — VAPP IV ISBN: 9783540530657
CONPAR

Algorithms based on a divide-and-conquer strategy are well qualified for being implemented in a multitasking environment. The idea of the divide-and-conquer paradigm is to fragment a problem into subproblems of the same kind, to solve the subproblems

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https://doi.org/10.1007/3-540-53065-7_132

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Multitasking: Experience with applications on a CRAY X-MP

Autor: Wolfgang E. Nagel, Renate Knecht, Friedel Hossfeld

Publikováno v: Parallel Computing. 12:259-283

On the multiprocessor vector-supercomputer CRAY X-MP, parallelism—beyond vectorization—can be exploited on the programming language level by two multitasking strategies: macrotasking and, more recently, microtasking. In this paper, multitasking r

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https://doi.org/10.1016/0167-8191(89)90086-0

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