Design and Implementation of a Grid System META for Executing CFD Analysis Programs on Distributed Environment


The KIPS Transactions:PartA, Vol. 13, No. 6, pp. 533-540, Dec. 2006
10.3745/KIPSTA.2006.13.6.533,   PDF Download:

Abstract

This paper describes the design and implementation of a grid system META (Metacomputing Environment using Test-run of Application) which facilitates the execution of a CFD (Computational Fluid Dynamics) analysis program on distributed environment. The grid system META allows the CFD program developers can access the computing resources distributed over the network just like one computer system. The research issues involved in the grid computing include fault-tolerance, computing resource selection, and user-interface design. In this paper, we exploits an automatic resource selection scheme for executing the parallel SPMD (Single Program, Multiple Data) application written in MPI (Message Passing Interface). The proposed resource selection scheme is informed from the network latency time and the elapsed time of the kernel loop attained from test-run. The network latency time highly influences the executional performance when a parallel program is distributed and executed over several systems. The elapsed time of the kernel loop can be used as an estimator of the whole execution time of the CFD program due to a common characteristic of CFD programs. The kernel loop consumes over 90% of the whole execution time of a CFD program.


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Cite this article
[IEEE Style]
K. W. Kang and G. Woo, "Design and Implementation of a Grid System META for Executing CFD Analysis Programs on Distributed Environment," The KIPS Transactions:PartA, vol. 13, no. 6, pp. 533-540, 2006. DOI: 10.3745/KIPSTA.2006.13.6.533.

[ACM Style]
Kyung Woo Kang and Gyun Woo. 2006. Design and Implementation of a Grid System META for Executing CFD Analysis Programs on Distributed Environment. The KIPS Transactions:PartA, 13, 6, (2006), 533-540. DOI: 10.3745/KIPSTA.2006.13.6.533.