The problem of efficient load distribution and scaling of large-scale wireless communication system simulation on multiprocessor architectures (both shared memory and cluster arrangements) is considered. A flexible architecture based upon DaSSF, the Dartmouth Scalable Simulation Framework discrete event engine, is presented and evaluated. The architecture is designed to deal with the computationally intensive aspects of radio communication simulation in a distributed environment. Results are presented that show how the architecture scales on a shared memory multiprocessor SGI Origin with increasing problem size and available processors.
Trefor J. Delve, Nathan Smith