Advanced Simulations and Computing Predictive Science Academic Alliance Program (PSAAP II)

The summary for the Advanced Simulations and Computing Predictive Science Academic Alliance Program (PSAAP II) grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the NNSA, which is the U.S. government agency offering this grant.

Advanced Simulations and Computing Predictive Science Academic Alliance Program (PSAAP II): The Advanced Simulation and Computing Program in the Office of Stockpile Stewardship, under Defense Programs within the Department of Energy?s (DOE) National Nuclear Security Administration (NNSA), created the Predictive Science Academic Alliance Program (PSAAP) to support fundamental science at U.S. universities in the emerging field of predictive science. Predictive Science is the development and application of verified and validated computational simulations, in a high-performance computing (HPC) environment, to predict the properties and dynamics of complex systems, with quantified uncertainty.This FOA includes a call for Cooperative Agreements to create either a Multidisciplinary Simulation Center (MSC) or a Single-Discipline Center (SDC) that will work toward solving a problem that advances basic science/engineering and Verification & Validation (V&V)/Uncertainty Quantification (UQ), and contributes towards achieving effective exascale computing, in order to demonstrate predictive science in an HPC environment. While true exascale computing is not likely to be achieved during this program, the computer-science emphasis of the program is on resolving the critical issues that arise in reaching towards exascale, some of which are outlined in http://www.sandia.gov/ascppc/ReferenceMaterials.html andhttp://www.sandia.gov/ascppc/Presentations.html.The phrase ?Exascale computing? used within this FOA refers to the next HPC paradigm shift to extreme, heterogeneous, multi-core on-node parallelism ? and not necessarily to any hardware or system at such scale.How MSCs and SDCs differ: The overarching problem for an MSC will advance predictive science in a multi-disciplinary integrated application, multiscale in space and time, that is expected to be enabled by exascale computing. The overall advance may require a combination of advances in some potentially exascale-enabled piece of science, integration science (see Integration Plan in Section C), or UQ science, together with wider use of state-of-the art V&V techniques. An SDC will focus on scientific advances for a problem or challenge in a single discipline that is multiscale in space and time and is expected to be enabled by exascale computing. The technical advance proposed must be compelling and significant, and make use of state of the art V&V/UQ techniques. Both types of centers must demonstrate a verified, validated, predictive simulation capability for a specific, well defined application, system, or problem, with uncertainty quantification, using specific values of key parameters for that application, system, or problem. The recipient is also expected to utilize fully integrated V&V/UQ in furthering predictive science. Proposals are expected to include plans for advancing predictive science as an important area of academic research in the computational science and engineering community.Examples of the science areas of interest to NNSA and a discussion of V&V/UQ may also be found at http://www.sandia.gov/ascppc/ReferenceMaterials.html and http://www.sandia.gov/ascppc/Presentations.html