Scientific Computing in the Cloud

  • Authors:
  • J. J. Rehr;F. D. Vila;J. P. Gardner;L. Svec;M. Prange

  • Affiliations:
  • Univ. of Washington, Seattle, WA, USA;-;-;-;-

  • Venue:
  • Computing in Science and Engineering
  • Year:
  • 2010

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Abstract

Large, virtualized pools of computational resources raise the possibility of a new, advantageous computing paradigm for scientific research. To help achieve this, new tools make the cloud platform behave virtually like a local homogeneous computer cluster, giving users access to high-performance clusters without requiring them to purchase or maintain sophisticated hardware.