Detail publikace

Parallel Computations Based on Automatic Transformation of Ordinary Differential Equations

Originální název

Parallel Computations Based on Automatic Transformation of Ordinary Differential Equations

Anglický název

Parallel Computations Based on Automatic Transformation of Ordinary Differential Equations

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

BibTex


@inproceedings{BUT105966,
  author="Jan {Kopřiva} and Jiří {Kunovský} and Václav {Šátek} and Martina {Drozdová} and Alexander {Schirrer}",
  title="Parallel Computations Based on Automatic Transformation of Ordinary Differential Equations",
  annote="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.",
  address="American Institute of Physics",
  booktitle="Proceedings of the 11th International Conference of Numerical Analysis and Applied Mathematics",
  chapter="105966",
  doi="10.1063/1.4825998",
  edition="NEUVEDEN",
  howpublished="print",
  institution="American Institute of Physics",
  number="1",
  year="2013",
  month="april",
  pages="2293--2296",
  publisher="American Institute of Physics",
  type="conference paper"
}