Parallel GENESIS for Large-Scale Modeling

Nigel H. Goddard, Greg Hood

Research output: Chapter in Book/Report/Conference proceedingChapter


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 [1] 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.
Original languageEnglish
Title of host publicationComputational Neuroscience
Subtitle of host publicationTrends in Research, 1997
EditorsJames M. Bower
Place of PublicationBoston, MA
PublisherSpringer US
Number of pages7
ISBN (Electronic)978-1-4757-9800-5
ISBN (Print)978-1-4757-9802-9
Publication statusPublished - 1997


Dive into the research topics of 'Parallel GENESIS for Large-Scale Modeling'. Together they form a unique fingerprint.

Cite this