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Superconcurrent simulation of polymer chains on heterogeneous networks

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3 Author(s)
Nakanishi, H. ; Dept. of Phys. & CS, Purdue Univ., West Lafayette, IN, USA ; Rego, V. ; Sunderam, V.

The authors present the results of an experiment on massively parallel stochastic simulation of polymer chains for measuring scale-invariant phenomena at critical temperatures. The parallelization is achieved through the EcliPSe toolkit and conducted on a flexible, tree-structured virtual machine made up of arbitrary and heterogeneous computing nodes dispersed across the country. These nodes cooperate to perform the simulation and pool results together in real time at a central node which initiates the parallel simulation. The advantage of the tree-structure is that it allows for a fault-resilient, flexible environment for long-running parallel simulations. The authors present results on sheer performance, price performance, and toolkit-based parallelization by monitoring the same computations on a CRAY Y-MP and making detailed comparisons. Most significant are the excellent price-performance ratios given by the heterogeneous computing environment

Published in:

Supercomputing '92., Proceedings

Date of Conference:

16-20 Nov 1992