Scientific Data Management, Analysis and Visualization at Extreme Scale
The summary for the Scientific Data Management, Analysis and Visualization at Extreme Scale 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.
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Scientific Data Management, Analysis and Visualization at Extreme Scale: The Office of Advanced Scientific Computing Research (ASCR) in the Office of Science (SC), U.S. Department of Energy (DOE), hereby invites applications for basic research that significantly advances management, analysis and visualization of data in disciplines supported by DOE in the context of emerging architectures for extreme scale computing platforms. The purpose of this announcement is to invite applications for basic computer science research on five major themes: 1. Usability and user interface design; 2. In situ methods for data management, analysis and visualization; 3. Design of in situ workflows to support data management, processing, analysis and visualization; 4. New approaches to scalable interactive visual analytic environments; and/or 5. Proxy applications or workflows and/or simulations for data management, analysis and visualization software to support co-design of extreme scale systems. The supported research will lay the foundation for building the software infrastructure to support scientific data management, analysis and visualization in the context of extreme scale computing. A companion Program Announcement to DOE Laboratories (LAB 14-1043) will be posted on the SC Grants and Contracts web site at: http://science.energy.gov/grants/ The full text of the Funding Opportunity Announcement (FOA) is located on FedConnect. Instructions for completing the Grant Application Package are contained in the full text of the FOA which can be obtained at: https://www.fedconnect.net/FedConnect/?doc=DE-FOA-0001043&agency=DOE.
Federal Grant Title: | Scientific Data Management, Analysis and Visualization at Extreme Scale |
Federal Agency Name: | Office of Science |
Grant Categories: | Science and Technology |
Type of Opportunity: | Discretionary |
Funding Opportunity Number: | DE-FOA-0001043 |
Type of Funding: | Cooperative Agreement |
CFDA Numbers: | 81.049 |
CFDA Descriptions: | Office of Science Financial Assistance Program |
Current Application Deadline: | Mar 19, 2014 |
Original Application Deadline: | Mar 19, 2014 |
Posted Date: | Dec 19, 2013 |
Creation Date: | Dec 19, 2013 |
Archive Date: | Jun 19, 2014 |
Total Program Funding: | $0 |
Maximum Federal Grant Award: | $0 |
Minimum Federal Grant Award: | $0 |
Expected Number of Awards: | |
Cost Sharing or Matching: | No |
- Applicants Eligible for this Grant
- Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility"
- Additional Information on Eligibility
- All types of applicants are eligible to apply, except Federally Funded Research and Development Center (FFRDC) Contractors, and nonprofit organizations described in section 501(c)(4) of the Internal Revenue Code of 1986 that engaged in lobbying activities after December 31, 1995.
A given institution may submit at most two applications to this FOA, including participation as a sub-awardee or collaborating institution.
Individuals with the skills, knowledge, and resources necessary to carry out the proposed research as a Principal Investigator are invited to work with their organizations to develop an application for assistance. Individuals from underrepresented groups as well as individuals with disabilities are always encouraged to apply for assistance.
A given individual may participate in at most two applications to this FOA, including participation as a sub-awardee or collaborator.
- Link to Full Grant Announcement
- FedConnect
- Grant Announcement Contact
- Lucille T. Nowell, Technical-Scientific Program Contact, 301-903-3191
[email protected]
[email protected]
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