The synopsis for this grant opportunity is detailed below, following
this paragraph. This synopsis contains all of the updates to this
document that have been posted as of
04/17/2012
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Description of Modification
Document Type:
Modification to Previous
Grants Notice
Funding Opportunity Number:
DE-FOA-0000728
Opportunity Category:
Discretionary
Posted Date:
Apr 17, 2012
Creation Date:
Jun 05, 2012
Original Closing Date for Applications:
Jun 11, 2012
Applications must be received on Grants.gov by Monday 06/11/2012, 11:59:59 PM Eastern Time.
Current Closing Date for Applications:
Jun 11, 2012
Applications must be received on Grants.gov by Monday 06/11/2012, 11:59:59 PM Eastern Time.
Archive Date:
Sep 30, 2012
Funding Instrument Type:
Cooperative Agreement
Category of Funding Activity:
Energy
Category Explanation:
Expected Number of Awards:
6
Estimated Total Program Funding:
$100,000,000
Award Ceiling:
$20,000,000
Award Floor:
$3,000,000
CFDA Number(s):
81.124
--
Predictive Science Academic Alliance Program
Cost Sharing or Matching Requirement:
Yes
Eligible Applicants
Public and State controlled institutions of higher education
Private institutions of higher education
Additional Information on Eligibility:
Agency Name
NNSA
Description
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
The following files represent the modifications to this synopsis
with the changes noted within the documents. The list of files is
arranged from newest to oldest with the newest file representing the
current synopsis. Changed sections from the previous document are shown
in a light grey background.
