Computing Gamma Calculus on Computer Cluster

Hong Lin, Jeremy Kemp and Padraic Gilbert
Additional contact information
Hong Lin: University of Houston-Downtown, USA
Jeremy Kemp: University of Houston-Downtown, USA
Padraic Gilbert: University of Houston-Downtown, USA

International Journal of Technology Diffusion (IJTD), 2010, vol. 1, issue 4, 42-52

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.

Date: 2010
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... .4018/jtd.2010100104 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jtd000:v:1:y:2010:i:4:p:42-52

Access Statistics for this article

International Journal of Technology Diffusion (IJTD) is currently edited by Ali Hussein Saleh Zolait

More articles in International Journal of Technology Diffusion (IJTD) from IGI Global
Bibliographic data for series maintained by Journal Editor ().