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Tools for High Performance Computing 2018 / 2019

Om Tools for High Performance Computing 2018 / 2019

This book presents the proceedings of the 12th International Parallel Tools Workshop, held in Stuttgart, Germany, during September 17-18, 2018, and of the 13th International Parallel Tools Workshop, held in Dresden, Germany, during September 2-3, 2019. The workshops are a forum to discuss the latest advances in parallel tools for high-performance computing. High-performance computing plays an increasingly important role for numerical simulation and modeling in academic and industrial research. At the same time, using large-scale parallel systems efficiently is becoming more difficult. A number of tools addressing parallel program development and analysis has emerged from the high-performance computing community over the last decade, and what may have started as a collection of a small helper scripts has now matured into production-grade frameworks. Powerful user interfaces and an extensive body of documentation together create a user-friendly environment for parallel tools.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9783030660598
  • Bindende:
  • Paperback
  • Sider:
  • 280
  • Utgitt:
  • 24. mai 2022
  • Utgave:
  • 22001
  • Dimensjoner:
  • 155x16x235 mm.
  • Vekt:
  • 429 g.
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 16. januar 2025
Utvidet returrett til 31. januar 2025
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Beskrivelse av Tools for High Performance Computing 2018 / 2019

This book presents the proceedings of the 12th International Parallel Tools Workshop, held in Stuttgart, Germany, during September 17-18, 2018, and of the 13th International Parallel Tools Workshop, held in Dresden, Germany, during September 2-3, 2019. The workshops are a forum to discuss the latest advances in parallel tools for high-performance computing.
High-performance computing plays an increasingly important role for numerical simulation and modeling in academic and industrial research. At the same time, using large-scale parallel systems efficiently is becoming more difficult. A number of tools addressing parallel program development and analysis has emerged from the high-performance computing community over the last decade, and what may have started as a collection of a small helper scripts has now matured into production-grade frameworks. Powerful user interfaces and an extensive body of documentation together create a user-friendly environment for parallel tools.

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