Grid solutions for biological and physical cross-site simulations on the teragrid

Authors:
S. Dong;N. T. Karonis;G. E. Karniadakis
Affiliations:
Division of Applied Mathematics, Brown University, Providence, RI;Department of Computer Science, Northern Illinois University, DeKalb, IL and Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL;Division of Applied Mathematics, Brown University, Providence, RI
Venue:
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Year:
2006

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Abstract

Computational grids and grid middleware offer unprecedented computational power and storage capacity, and thus, have opened the possibility of solving problems that were previously not possible on even the largest single computational resources. These opportunities not withstanding, the development of grid applications that run efficiently remains a challenge due to the inherent heterogeneity of networks and system architectures inherent in such environments. We present grid solutions to two grand challenge problems in computational mechanics. To study the scalability of our solutions we implemented both as MPI applications and ran them on the TeraGrid using NEKTAR and MPICH-G2. We present the results of our study which demonstrate near linear scalability in both applications when run across multiple TeraGrid sites and at a scale of hundreds or processors.