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Related Experiment Videos

mGrid: a load-balanced distributed computing environment for the remote execution of the user-defined Matlab code.

Yuliya V Karpievitch1, Jonas S Almeida

  • 1Department of Biostatistics, Bioinformatics and Epidemiology, Medical University of South Carolina, Charleston, SC 29425, USA. karpik@musc.edu

BMC Bioinformatics
|March 17, 2006
PubMed
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mGrid simplifies distributed computing for computational biology by enabling transparent, load-balanced execution of Matlab code and user-defined libraries on remote machines. This open-source environment requires minimal administration, facilitating rapid prototyping of parallel applications.

Area of Science:

  • Computational Biology
  • Bioinformatics
  • Scientific Computing

Background:

  • MATLAB is widely used in computational biology for modeling and simulation.
  • Large-scale biological system simulations demand significant computational resources beyond single-computer capabilities.
  • Existing distributed computing environments for MATLAB have limitations in ease of use, resource management, and manual library distribution.

Purpose of the Study:

  • To develop an enhanced distributed computing environment for MATLAB.
  • To address the challenges of resource limitations and complex setup in existing systems.
  • To facilitate transparent execution of user-defined code and libraries on remote machines.

Main Methods:

  • Introduced mGrid, a novel distributed system augmenting process distribution with user code distribution capabilities.

Related Experiment Videos

  • Developed an easy-to-use, native MATLAB toolbox as the client-side interface.
  • Utilized open-source components: MATLAB, PHP scripts, and Apache web server.

    • Main Results:

    • mGrid enables transparent execution of user-defined MATLAB code on remote machines.
    • Automated load balancing and transparent distribution of runtime variables and user code.
    • mGrid is an open-source environment requiring minimal system administration.

    Conclusions:

    • mGrid allows for transparent, load-balanced distribution of MATLAB toolboxes and rapid prototyping of parallel applications.
    • Simple installation and configuration due to reliance on MATLAB, PHP, and Apache.
    • Web-based infrastructure supports easy extensibility over the Internet.