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CROW for large scale macromolecular simulations.

Milan Hodoscek1, Urban Borstnik, Dusanka Janezic

  • 1National Institute of Chemistry, Hajdrihova 19, Ljubljana, Slovenia.

Cellular & Molecular Biology Letters
|April 11, 2002
PubMed
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CROW (Columns and Rows Of Workstations) is a scalable parallel computer cluster. Its point-to-point network architecture reduces cost and maintains performance with more processors.

Area of Science:

  • Computer Science
  • High-Performance Computing
  • Parallel Architectures

Background:

  • The Beowulf cluster concept provides a foundation for building parallel computers.
  • Existing cluster architectures may face limitations in scalability and cost-effectiveness with increasing processor counts.

Purpose of the Study:

  • To present the CROW (Columns and Rows Of Workstations) parallel computer cluster.
  • To demonstrate a modified Beowulf architecture designed for enhanced scalability.

Main Methods:

  • Developed a parallel computer cluster named CROW.
  • Implemented a point-to-point network architecture, avoiding network switching equipment.
  • Modified the Beowulf cluster concept to accommodate a larger number of processors.

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Main Results:

  • The CROW architecture supports a larger number of processors compared to standard Beowulf clusters.
  • The point-to-point network design eliminates the need for network switches.
  • Achieved lower system costs and sustained network performance with increased processor density.

Conclusions:

  • The CROW cluster offers a cost-effective and high-performance solution for parallel computing.
  • The point-to-point network architecture is a key factor in CROW's scalability and efficiency.
  • This architecture demonstrates a viable approach for building larger, more economical parallel computing systems.