Parallel computing based on numerical simulation of self-avoiding walk.

This paper presented a parallel Monte Carlo method for the calculation of a single polymer chain. It used self-avoiding walk method to generate the initial state of polymer chain, and simulated the random motion of the chain by the bond-fluctuation method. For no analytical solution may calculate chain partition function, properties of polymer chains tend to be calculated by large number of samples. It developed parallel program for computing the independent samples to reach the linear speedup. Parallel execution time was acceptable for parallel Monte Carlo simulation of polymer chains. [ABSTRACT FROM AUTHOR]