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  • Even though the idea of parallel computing and parallel connection of high amount of microprocessors is attractive, it is not easy to reach big increase in performance compared to single processor approach. The potential of parallel data processing has already been studied. It was found, that even a small percentage of sequential steps may lead to high reduction of performance of the entire system. This is the consequence of the fact, that most algorithms were not developed for heavy parallel systems.
  • Even though the idea of parallel computing and parallel connection of high amount of microprocessors is attractive, it is not easy to reach big increase in performance compared to single processor approach. The potential of parallel data processing has already been studied. It was found, that even a small percentage of sequential steps may lead to high reduction of performance of the entire system. This is the consequence of the fact, that most algorithms were not developed for heavy parallel systems. (en)
Title
  • Parallel Computations Based on Automatic Transformation of Ordinary Differential Equations
  • Parallel Computations Based on Automatic Transformation of Ordinary Differential Equations (en)
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  • Parallel Computations Based on Automatic Transformation of Ordinary Differential Equations
  • Parallel Computations Based on Automatic Transformation of Ordinary Differential Equations (en)
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  • RIV/00216305:26230/13:PU108086!RIV14-MSM-26230___
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  • P(ED1.1.00/02.0070), Z(MSM0021630528)
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  • 95286
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  • RIV/00216305:26230/13:PU108086
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  • Modified Numerical Integration Methods, Parallel Computations, Initial Value Problems, Ordinary Differential Equations (en)
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  • [638473411FFD]
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  • Rhodes
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  • Proceedings of the 11th International Conference of Numerical Analysis and Applied Mathematics
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  • Kopřiva, Jan
  • Kunovský, Jiří
  • Šátek, Václav
  • Drozdová, Martina
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  • 000331472800534
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  • 10.1063/1.4825998
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  • American Institute of Physics
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  • 978-0-7354-1184-5
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  • 26230
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