SPRNG
- Abstract
- Monte Carlo calculations consume a large fraction of
all supercomputing cycles. The accuracy of these computations
is critically influenced by the quality of the random
number generators used. While the issue of random number
generation in sequential calculations has been well
studied, albeit on less powerful computers, there has
been comparatively less work done in the context of
parallel Monte Carlo applications. SPRNG seeks to fill
this gap by implementing parallel random number generators
that satisfy certain requirements.
- DateOfInformation
- Wed Jul 8 14:09:27 1998
- Deployment Status
- http://www.nhse.org/rib/repositories/ncsa_teamA_deployment/catalog/grid.html
- Domain
- Numerical Programs and Routines!Miscellaneous
- Name
- SPRNG
- TargetEnvironment
- Go here - http://www.ncsa.uiuc.edu/Apps/CMP/RNG/www/platforms.html
- Version
- 1.0
- Webpage
- http://www.ncsa.uiuc.edu/Apps/SPRNG/
- ContactIs
- Ashok Srinivasan
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