High Performance Computing System Acquisition: Building a More Inclusive Computing Environment for Science and Engineering
National Science Foundation
Limited Submission Program (LSP): This funding opportunity and the Limited Submission Program (LSP) is open to all Texas A&M faculty and principal investigators who meet the eligibility requirements. The University and the System agencies jointly administer this process to select the proposal(s) that will be submitted to the sponsor in response to this solicitation.
Institutional Eligibility: An organization may submit only one proposal but may be a sub-awardee on other proposals responding to this solicitation.
The proposal will be prepared and submitted by the Office of Sponsored Research Services (OSRS).
Proposal Limit: 1 per organization
Summary: The NSF's vision for Advanced Computing Infrastructure (ACI), which is part of its Cyberinfrastructure for 21st Century Science and Engineering (CIF21), focuses specifically on ensuring that the science and engineering community has ready access to the advanced computational and data-driven capabilities required to tackle the most complex problems and issues facing today's scientific and educational communities. To accomplish these goals requires advanced computational capabilities within the context of a multilevel comprehensive and innovative infrastructure that benefits all fields of science and engineering. Previous solicitations have concentrated on enabling petascale capability through the deployment and support of a world-class High Performance Computing (HPC) environment. In the past decade the NSF has provided the open science and engineering community with a number of state-of-the art HPC assets ranging from loosely coupled clusters, to large scale instruments with many thousands of computing cores communicating via fast interconnects, and more recently with diverse heterogeneous architectures. Recent developments in computational science have begun to focus on complex, dynamic, and diverse workflows. Some of these involve applications that are extremely data intensive and may not be dominated by floating point operation speed. While a number of the earlier acquisitions have addressed a subset of these issues, the current solicitation emphasizes this even further.
The current solicitation requests innovative proposal of two types:
The first is intended to complement previous NSF investments in advanced computational infrastructure. Consistent with the ACI Strategic Plan, the current solicitation is focused on expanding the use of high end resources to a much larger and more diverse community. To quote from the ACI Strategic Plan, the goal is to "...position and support the entire spectrum of NSF-funded communities "....and to promote a more comprehensive and balanced portfolio .... to support multidisciplinary computational and data-enabled science and engineering that in turn supports the entire scientific, engineering, and educational community." Thus, while continuing to provide essential and needed resources to the more traditional users of HPC, it is important to enlarge the horizon to include research communities that are not users of traditional HPC systems, but who would benefit from advanced computational capabilities at the national level. Building, testing, and deploying these resources within the collaborative ecosystem that encompasses national, regional, and campus resources continues to remain a high priority for the NSF and one of increasing importance to the science and engineering community.
The second type is devoted to the increasing pressure on the existing infrastructure to store and process very large amounts of data coming from simulation and from experimental resources such as telescopes, genome data banks, or sensors. As recently stated in BIGDATA (NSF 12-499), "Pervasive sensing and computing across natural, built, and social environments is generating heterogeneous data at unprecedented scale and complexity. Today, scientists, biomedical researchers, engineers, educators, citizens, and decision-makers live in an era of observation: data come from many disparate sources, such as sensor networks; scientific instruments, such as medical equipment, telescopes, colliders, satellites, environmental networks, and scanners; video, audio, and click streams; financial transaction data; email, weblogs, twitter feeds, and picture archives; spatial graphs and maps; and scientific simulations and models. This plethora of data sources has given rise to a phenomenal diversity in data types; data can be temporal, spatial, or dynamic and can be derived from both structured and unstructured sources. Data may have different representation types, media formats, and levels of granularity, and may be used across multiple scientific disciplines. These new sources of data and their increasing complexity contribute to an explosion of information."
February 4, 2013, 5:00 p.m.: Deadline for an email of intent including the title of the internal proposal and a 1-3 sentence description of the project.
Send email of intent to firstname.lastname@example.org
February 11, 2013, 5:00 p.m.: Deadline to submit an internal proposal. All proposals for the LSP must be submitted electronically using the e-proposal on-line application system.
Be prepared to upload your internal proposal. The sections will include a 1-3 page Research Plan Summary, Bio-sketch, and budget (if required).
The e-proposal site is password protected. Texas A&M principal investigators may use their NetID and password to access the system. If you do not have a NetID, from the e-proposal site, click on “Signup,” fill in the pertinent information and an account will be created for you.
If you have any questions, please contact email@example.com or 979.862.2233.
March 4, 2013: Target date for the notifications to PIs of the result of the internal competition.
April 15, 2013: Sponsor deadline for the full application.
Internal Selection Procedures:
Texas A&M University has established a procedure to identify limited submission opportunities and internally select proposals for Texas A&M submissions. Please contact us if you have any questions about the limited submission process.