High Performance Computing System Acquisition: Towards a Petascale Computing Environment for Science and Engineering
 
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CONTACTS
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PROGRAM GUIDELINES
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Solicitation
08-573
Please be advised that the NSF Proposal & Award Policies & Procedures Guide (PAPPG) includes
revised guidelines to implement the mentoring provisions of the America COMPETES Act (ACA)
(Pub. L. No. 110-69, Aug. 9, 2007.) As specified in the ACA, each proposal that requests
funding to support postdoctoral researchers must include a description of the mentoring
activities that will be provided for such individuals. Proposals that do not comply
with this requirement will be returned without review (see the PAPP Guide Part I:
Grant Proposal Guide Chapter II for further information about the implementation of
this new requirement).
SYNOPSIS
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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.
Abstracts of Recent Awards Made Through This Program
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