Computational Infrastructure for Parallel, Distributed, and
Grid-based Monte Carlo Computations
Michael Mascagni
Department of Computer Science, Florida State University
Thursday, October 9, 2003 15:00-16:00,
Room 145, NIST North (820)
Gaithersburg
Thursday, October 9, 2003 13:00-14:00,
Room 5000
Boulder
Abstract:
In this talk we summarize some of our work in creating computational
infrastructure to enable Monte Carlo computations in parallel,
distributed, and Grid-based environments. We begin with a brief
overview of the Scalable Parallel Random Number Generators (SPRNG)
Library. This
provides high quality pseudorandom numbers in all the above
environments. We also discuss quasirandom numbers based on scrambling
in this context. We then discuss specific Grid services for Monte Carlo
that we recently developed. These services reduce wallclock time and
improve the trustworthiness and integrity of Grid-based computations.
Contact: R. F. BoisvertNote: Visitors from outside NIST must contact
Robin Bickel; (301) 975-3668;
at least 24 hours in advance.
|
