An image from the the computational fluid dynamics simulation for prediction of
noise generated by a supersonic jet engine.
(Photo courtesy the Center for Turbulence Research, Stanford University)
The ASC Predictive Science Academic Alliance Program (PSAAP) centers focus on
the emerging field of predictive science—the application of verified and
validated computational simulations to predict the behavior of complex systems
where routine experiments are not feasible. The centers focus on unclassified
applications of interest to the National Nuclear Security Administration (NNSA)
and its three national laboratories: LLNL, LANL, and SNL. The PSAAP centers develop not only the science and engineering models
and software for their large-scale simulations but also pursue advanced computer science developments needed to enable such sophisticated simulations on the next generation of computing platforms. They are also integrating state-of-the-art practices in verification and validation (V&V)
and uncertainty quantification (UQ) into their integrated simulation plans so that precise statements can be made about the degree of confidence they have in their simulation-based predictions. For additional information, see the NNSA press release announcing PSAAP II
and the NNSA website
Recognizing the need for a healthy pipeline of top graduate students in science and technology fields, which is crucial to the success of ASC, two complementary graduate fellowship programs, both administered by the Krell Institute, are supported.
PSAAP II Centers
Additional information about PSAAP is available in the PSAAP II Reference Materials.
Computing Resources for the Alliances
Tri-lab computing resources are available to Alliance users. See the tri-lab PSAAP resources table for detailed information about these computing resources. New users should also consult the Getting Started Guide for Alliance Users.
Ana Kupresanin, Lawrence Livermore National Laboratory (email@example.com)
Fernando Grinstein, Los Alamos National Laboratory (firstname.lastname@example.org)
John Feddema, Sandia National Laboratories (email@example.com)
Refer to the Alliances archive for historical information.