Leadership-Class System Acquisition - Creating a Petascale Computing Environment for Science and Engineering
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Leadership-Class System Acquisition - Creating a Petascale Computing Environment for Science and Engineering: NSF’s five-year goal for high performance computing (HPC) is to enable petascale science and engineering through the deployment and support of a world-class HPC environment comprising the most capable combination of HPC assets available to the academic community. By the year 2010, the petascale HPC environment will enable investigations of computationally challenging problems that require computing systems capable of delivering sustained performance approaching 1015 floating point operations per second (petaflops) on real applications, that consume large amounts of memory, and/or that work with very large data sets. Among other things, researchers will be able to perform simulations that are intrinsically multi-scale or that involve the simultaneous interaction of multiple processes. HPC Resource Providers - those organizations willing to acquire, deploy and operate HPC systems in service to the broad science and engineering research and education community - play a key role in the provision and support of a national HPC environment. With this solicitation, NSF requests proposals from organizations willing to serve as HPC Resource Providers, and who propose to acquire and deploy a new, innovative HPC system. Competitive HPC systems will: Expand the range of computationally-challenging science and engineering applications that can be tackled with the TeraGrid HPC portfolio; Incorporate reliable, robust system software essential to optimal sustained performance; and Provide a high degree of stability and usability. A robust and effective HPC acquisition process, driven by the requirements of the science and engineering research and education community, is one of the key elements of NSF’s HPC strategy. System performance on an appropriate set of benchmarks will thus be a key factor in system selection. Benchmarks should be designed to capture the salient attributes of those science and engineering applications placing the most stringent demands on the systems to be provisioned. A set of performance requirements and benchmarks for this competition were posted on the NSF web-site at NSF 0605 in November, 2005. Proposers are also required to provide projections for additional benchmarks of their own choosing.
Federal Grant Title: | Leadership-Class System Acquisition - Creating a Petascale Computing Environment for Science and Engineering |
Federal Agency Name: | National Science Foundation |
Grant Categories: | Science and Technology |
Type of Opportunity: | Discretionary |
Funding Opportunity Number: | 08-573 |
Type of Funding: | Cooperative Agreement |
CFDA Numbers: | 47.080 |
CFDA Descriptions: | Office of Cyberinfrastructure |
Current Application Deadline: | No deadline provided |
Original Application Deadline: | Nov 28, 2008 Full Proposal Deadline(s): November |
Posted Date: | Jun 24, 2008 |
Creation Date: | Jun 24, 2008 |
Archive Date: | No date given |
Total Program Funding: | $20,000,000 |
Maximum Federal Grant Award: | $10,000,000 |
Minimum Federal Grant Award: | $2,000,000 |
Expected Number of Awards: | 4 |
Cost Sharing or Matching: | No |
- Applicants Eligible for this Grant
- Others (see text field entitled "Additional Information on Eligibility" for clarification)
- Additional Information on Eligibility
- *Organization Limit: Proposals may only be submitted by the following: -U.S. institutions of higher education and Federally Funded Research and Development Centers are eligible to apply as Resource Providers. It is recognized that FFRDCs may be positioned to make unique contributions to the HPC environment important to academic researchers. Hence for the purposes of this solicitation, NSF will consider acquiring and deploying HPC systems at FFRDC sites. However, proposing organizations must assure that open access to the HPC systems deployed will be provided to researchers from the broad range of science and engineering fields supported by NSF.
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