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Computing Gamma Calculus on Computer Cluster

Author

Listed:
  • Hong Lin

    (University of Houston-Downtown, USA)

  • Jeremy Kemp

    (University of Houston-Downtown, USA)

  • Padraic Gilbert

    (University of Houston-Downtown, USA)

Abstract

Gamma Calculus is an inherently parallel, high-level programming model, which allows simple programming molecules to interact, creating a complex system with minimum of coding. Gamma calculus modeled programs were written on top of IBM’s TSpaces middleware, which is Java-based and uses a “Tuple Space” based model for communication, similar to that in Gamma. A parser was written in C++ to translate the Gamma syntax. This was implemented on UHD’s grid cluster (grid.uhd.edu), and in an effort to increase performance and scalability, existing Gamma programs are being transferred to Nvidia’s CUDA architecture. General Purpose GPU computing is well suited to run Gamma programs, as GPU’s excel at running the same operation on a large data set, potentially offering a large speedup.

Suggested Citation

  • Hong Lin & Jeremy Kemp & Padraic Gilbert, 2010. "Computing Gamma Calculus on Computer Cluster," International Journal of Technology Diffusion (IJTD), IGI Global, vol. 1(4), pages 42-52, October.
    • Handle: RePEc:igg:jtd000:v:1:y:2010:i:4:p:42-52
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