Predictive Science Academic Alliance Program (PSAAP II)
*Application Due Date has been changed from June 4, 2012 to June 11, 2012.
The NNSA Office of Advanced Simulation and Computing (ASC), in collaboration with Lawrence Livermore National Laboratory (LLNL), Los Alamos National Laboratory (LANL) and Sandia National Laboratories (SNL), are initiating the next phase of the academic computational science program, called Predictive Science Academic Alliance Program II (PSAAP II). The vision for PSAAP II consists of participation by leading U.S. universities focusing on three major integrated areas:
- Predictive Science based on verification and validation and uncertainty quantification (V&V/UQ) for large-scale simulations;
- Discipline-focused research needed to further predictive science and enabled by effective Exascale computing ; and
- Developing and demonstrating technologies and methodologies to support effective Exascale computing in the context of science/engineering applications.
The PSAAP II program is anticipated to consist of the following two types of Centers:
- Multi-disciplinary Simulation Center (MSC) - whose research will focus on scalable application simulations, targeting large-scale, integrated multidisciplinary problems to be carried out on ASC's unclassified HPC systems that will be made available to the funded PSAAP II Centers. The MSC must (1) develop and demonstrate computer science technologies and methodologies that will advance Exascale computing, and (2) demonstrate an integrated, verified, validated predictive simulation with uncertainty quantification. Both (1) and (2) must be demonstrated within the context of the proposed integrated multidisciplinary application. It is expected that an MSC will demonstrate a significant advance in predictive science, in the context of their application. The overall advance may require a combination of advances in some Exascale-enabled piece of science, integration science, or UQ science, together with wider use of state-of-the-art techniques. The advance would consist of better predictive capability, manifested as predictions of a wider range of phenomena, with improved predictive accuracy and reduced uncertainty, in comparison to existing capability at the beginning of the project. Integrated system simulation results must be produced each year during the life of the program.
- Single-Discipline Center (SDC) - whose research will focus on scalable application simulations, targeting a broad single science/engineering discipline, to be carried out on ASC's unclassified HPC systems that will be made available to the funded PSAAP II Centers. The SDC must (1) develop and demonstrate computer science technologies and methodologies that will advance Exascale computing, and (2) demonstrate a verified, validated predictive simulation with uncertainty quantification. Both (1) and (2) must be demonstrated within the context of the proposed problem. It is anticipated that an SDC will demonstrate a compelling and significant scientific advance in the single discipline, enabled by Exascale computing. The technical advance should ideally represent a qualitative step up in the discipline, as opposed to incremental progress. While the research efforts within an SDC may follow several divergent paths under the broad umbrella of the single science/engineering discipline, it is required that all research paths be integrated into a single demonstration problem, for which simulation results must be produced each year during the life of the program. The demonstration problem is the vehicle by which progress in verified, validated, and uncertainty-quantified predictive simulation will be assessed each year.
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