Simulations of computational models are limited in size and speed by the power and capacity of the computational platform. We have parallelized the GENESIS object-oriented neural simulator  for networked workstations, multiprocessors and massively parallel supercomputers. These can provide two orders of magnitude increase in the size of the models that can be effectively simulated. As larger models are partitioned across many processors, interprocessor communication can limit the effective speedup obtainable. This suggests two classes of problems that may benefit most from parallel simulation: parameter searching and network models.
|Title of host publication||Computational Neuroscience|
|Subtitle of host publication||Trends in Research, 1997|
|Editors||James M. Bower|
|Place of Publication||Boston, MA|
|Number of pages||7|
|Publication status||Published - 1997|