2008 DOE CSGF Annual Program Review Videos

Tuesday, June 17 – Thursday, June 19
Washington Court Hotel, Washington, D.C.

Tuesday, June 17
Welcome
Barbara Helland Office of Science, U.S. Department of Energy Office of Science Computational Science Graduate Fellowship
David Crandall National Nuclear Security Administration, U.S. Department of Energy Science and Technology for National Security
Keynote
Randall LeVeque University of Washington Literate Programming and Reproducible Research in Computational Science
Session I
Amber Sallerson Jackson University of North Carolina Modeling of Multiphase Flow in Porous Medium Systems
Stefan Wild Cornell University When Life Hands You Lemons: Optimize Away!
David Potere Princeton University Cities from space: new portraits of the global urban fabric
2008 Howes Scholar Award
David Brown Lawrence Livermore National Laboratory Introduction
Mala Radhakrishnan Wellesley College The Many Roles of Computational Science in Drug Design and Analysis
Session II
Jasmine Foo Brown University Efficient Techniques for Quantifying Uncertainty
John ZuHone University of Chicago Simulating Everything: Galaxy Cluster Mergers in a Supercomputer
Michael Veilleux Cornell University An explicit approach to stochastically modeling fatigue crack formation
Jeffrey Drocco Princeton University Fluctuation theorem in colloidal systems with quenched disorder
Poster Session
W. Steven Goodrum National Nuclear Security Administration, USDOE SSGF/CSGF Fellows Poster Session Opening Remarks, Part 1
Michael Kreisler National Nuclear Security Administration, USDOE SSGF/CSGF Fellows Poster Session Opening Remarks, Part 2
Wednesday, June 18
Mary Ann Leung Krell Institute Discovering new science through HPC: An Alumna’s Story
Session III
Bonnie Kirkpatrick University of Illinois Phasing for Pedigrees when SNPs are Densely Placed
Michael Bybee Rice University Hydrodynamic Simulations of Colloidal Suspensions with Short-Range Attraction and Long-Range Repulsion
Jimena Davis North Carolina State University Quantifying Uncertainty in the Estimation of Probability Distributions
Erik Allen Massachusetts Institute of Technology A Novel Algorithm for Creating Coarse-Grained, Implicit Solvent Models for the Simulation of Surfactant Systems
Session IV
Special Session on High Performance Computing (HPC)
Barbara Helland Office of Science, U.S. Department of Energy High Performance Computing Facilities
Robert Harrison Oak Ridge National Laboratory Chemistry beyond the petascale
David Skinner National Energy Research Scientific Computing Center SciDAC Outreach Center