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Related Experiment Videos

Harnessing networked workstations as a powerful parallel computer: a general paradigm illustrated using three

P L Miller1, P M Nadkarni, P A Bercovitz

  • 1Centre for Medical Informatics, Yale University School of Medicine, New Haven, CT 06510.

Computer Applications in the Biosciences : CABIOS
|April 1, 1992
PubMed
Summary

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Harness idle workstations for supercomputing power using Linda parallel programming. This approach accelerates complex biological computations like genetic linkage analysis.

Area of Science:

  • Computational Biology
  • Bioinformatics
  • High-Performance Computing

Background:

  • Biological computations are often time-consuming.
  • Parallel computing offers significant speed-up potential.
  • Existing institutional hardware is frequently underutilized.

Purpose of the Study:

  • To demonstrate the use of a machine-independent parallel programming language (Linda) for biological computations.
  • To show how networks of workstations can be utilized as a parallel machine.
  • To parallelize key genetic linkage analysis programs.

Main Methods:

  • Utilized the Linda parallel programming language.
  • Implemented parallel execution of programs on a network of workstations.
  • Applied the paradigm to three established genetic linkage analysis programs.

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Main Results:

  • Successfully parallelized genetic linkage analysis programs using Linda.
  • Demonstrated the feasibility of creating a supercomputing resource from existing hardware.
  • Achieved dramatic speed-up for time-consuming biological computations.

Conclusions:

  • Linda provides a general and effective method for parallelizing biological computations.
  • Networks of workstations can be transformed into powerful parallel computing resources.
  • The approach offers a cost-effective solution for enhancing computational capabilities in biological research.