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High-performance computing, high-speed networks, and configurable computing environments: progress toward fully

W E Johnston1, V L Jacobson, S C Loken

  • 1Lawrence Berkeley Laboratory, University of California, Berkeley.

Critical Reviews in Biomedical Engineering
|January 1, 1992
PubMed
Summary
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Future distributed computing will assemble network components into virtual systems for complex problem-solving. Researchers are developing applications, like 3D MRI visualization, to test these configurable environments.

Area of Science:

  • Computer Science
  • High-Performance Computing
  • Scientific Visualization

Background:

  • Distributed computing environments are evolving with maturing technologies.
  • Networks will enable the configuration of independent computing, storage, and I/O elements into "virtual systems" for optimal problem-solving.
  • This approach democratizes access to powerful, logically assembled computing systems.

Purpose of the Study:

  • To demonstrate a prototype application for a configurable, distributed computing environment.
  • To test and exercise available elements of this environment using a network-based configuration of heterogeneous supercomputers and workstations.
  • To illuminate the issues and potential of using networks to configure virtual systems.

Main Methods:

  • Developed a distributed application for interactive visualization of large 3D scalar fields (voxel data sets).

Related Experiment Videos

  • Configured a virtual system comprising a Connection Machine-2 (CM-2) for surface reconstruction, a Cray Y-MP for rendering, and a workstation for user interface and display.
  • Utilized various network technologies for inter-process communication (IPC) between geographically distributed computing elements.

    • Main Results:

    • Successfully demonstrated interactive visualization of 3D magnetic resonance imaging (MRI) data using a network-configured virtual system.
    • Validated the feasibility of assembling heterogeneous computing resources into a functional virtual system for complex visualization tasks.
    • Identified key interdependent technologies crucial for enabling this configurable environment, including software, hardware, and communication protocols.

    Conclusions:

    • The integration of diverse computing resources via networks is a viable approach for creating powerful, accessible virtual systems.
    • This distributed, configurable environment holds significant potential for advancing scientific visualization and other computationally intensive applications.
    • Further development in user interface, IPC, network protocols, and telecommunications infrastructure is essential for realizing the full capabilities of transparently distributed computing.