Partner in the National Partnership for Advanced Computational Infrastructure
(NPACI). As a member of this partnership, Dr. Wolski is working to
make the research-grade software artifacts he produces available to
the community at large. The technology transfer he leads benefits
both the computer and computational science communities.
Leader, Network Weather Service Project. Dr. Wolskis research
in dynamic network performance forecasting has lead to an on-line
and supported permanent installation of the NetworkWeather Service
a facility for predicting nation-wide resource load in near
real-time.
Co-Leader, Application-level Scheduling Project. Dr. Wolski (with
his collaborator Professor Francine Berman) co-leads the Application
Level Scheduling (AppLeS) project which is building dynamic, adaptive
scheduling tools for the Computational Grid.
Wolski, R., Feo, J.T., Program Partitioning for NUMA Multiprocessor
Computer Systems, The Journal of Parallel and Distributed Computing,
Volume 19, No. 3, pp. 203-218, November, 1993.
Griswold, W., Wolski, R. Baden, S., Fink, S., Kohn, S., Programming
Language Requirements for the Next Millennium, ACM Computing Surveys,
Volume 28, No. 4, pp. 194-196, December, 1996.
Gorda, B. and Wolski, R., Time Sharing Massively Parallel Machines,
Proceedings of the International Conference on Parallel Processing,
August, 1995.
Current Collaborators: Micah Beck (Univ. Tennessee), Francine
Berman (UC San Diego), Jack Dongarra (Univ. Tennessee, ORNL) John Feo
(Tera Computer Corp.), Ian Foster (Argonne National Lab) Carl Kesselman
(USC/ISI), Reagan Moore (SDSC), James Plank (Univ. Tennessee), Margaret
Simmons (NPACI), Andrew Grimshaw (Univ. Virginia)
Graduate and Postdoctoral Advisees: James Calloway (UT),Walfredo
Cirne (UCSD), Marcio Faerman (UCSD), Gary Shao (UCSD), Alan Su (UCSD),
Martin Swany (UT)
Thesis Advisor: John Feo (now at Tera Computer Corp.)