Easy distributed grid architecture for research: easy access to supercomputing
Brent Wilson, Michael Vandeberg · Digital Commons - George Fox University (George Fox University) · 2015
Current distributed systems present many challenges for students who may not be very skilled at programming parallel applications for use on such systems. Grid computing is a cost effective means of providing supercomputing computation for both scientists and students of computing. Easy Distributed Grid Architecture for Research (EDGAR) is a grid computing solution that meets two critical constraints, namely ease of application programming for users and platform independence in implementation. Satisfying these two constraints makes EDGAR one of the only time and cost effective grid computing solutions. EDGAR creates an easy of use high performance solution for scientists and students in solving computationally intense problems. EDGAR provides easy access to supercomputing. The work presented in this paper represents a working implementation of a conceptual grid architecture presented in concept in 2009.