The DOE SC program in Advanced Scientific Computing Research (ASCR) is offering a grant to support research applications focusing on randomized algorithms for scientific computing and extreme-scale science. The grant aims to explore high-impact approaches in this field. The closing date for applications is May 19, 2021, 12:00:00 AM EDT.
Opportunity ID: 332386
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | DE-FOA-0002497 |
| Funding Opportunity Title: | EXPRESS: Randomized Algorithms for Extreme-Scale Science |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Grant |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | 10 |
| Assistance Listings: | 81.049 — Office of Science Financial Assistance Program |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 1 |
| Posted Date: | Mar 25, 2021 |
| Last Updated Date: | Mar 25, 2021 |
| Original Closing Date for Applications: | May 19, 2021 |
| Current Closing Date for Applications: | May 19, 2021 |
| Archive Date: | Jun 18, 2021 |
| Estimated Total Program Funding: | $8,000,000 |
| Award Ceiling: | $400,000 |
| Award Floor: | $150,000 |
Eligibility
| Eligible Applicants: | 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 nonprofit organizations described in section 501(c)(4) of the Internal Revenue Code of 1986 that engaged in lobbying activities after December 31, 1995. Applicants that are not domestic organizations should be advised that: • Individual applicants are unlikely to possess the skills, abilities, and resources to successfully accomplish the objectives of this FOA. Individual applicants are encouraged to address this concern in their applications and to demonstrate how they will accomplish the objectives of this FOA. • Non-domestic applicants are advised that successful applications from non-domestic applicants include a detailed demonstration of how the applicant possesses skills, resources, and abilities that do not exist among potential domestic applicants. Applications that are submitted by applicants that have not submitted a required pre-application will be declined without further review. Federally-affiliated entities must adhere to the eligibility standards below: 1. DOE/NNSA National Laboratories DOE/NNSA National Laboratories are eligible to submit applications under this FOA and may be proposed as subrecipients under another organization’s application. If recommended for funding as a lead applicant, funding will be provided through the DOE Field-Work Proposal System. If recommended for funding as a proposed subrecipient, the value of the proposed subaward will be removed from the prime applicant’s award and will be provided to the laboratory through the DOE Field-Work Proposal System. No administrative provisions of this FOA will apply to the laboratory or any laboratory subcontractor. Additional instructions for securing authorization from the cognizant Contracting Officer are found in Section VIII of this FOA. 2. Non-DOE/NNSA FFRDCs 8 Non-DOE/NNSA FFRDCs are not eligible to submit applications under this FOA but may be proposed as subrecipients under another organization’s application. If recommended for funding as a proposed subrecipient, the value of the proposed subaward may be removed from the prime applicant’s award and will be provided through an Inter-Agency Award to the FFRDC’s sponsoring Federal Agency. Additional instructions for securing authorization from the cognizant Contracting Officer are found in Section VIII of this FOA. 3. Other Federal Agencies Other Federal Agencies are neither eligible to submit applications under this FOA nor to be proposed as subrecipients under another organization’s application. |
Additional Information
| Agency Name: | Office of Science |
| Description: |
The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in research applications to explore potentially high-impact approaches in the development and use of randomized algorithms for scientific computing and extreme-scale science |
| Link to Additional Information: | Program Funding Opportunity Website |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
Steven Lee
Program Manager Phone 301-903-5710 Email:Steven.Lee@science.doe.gov |
Version History
| Version | Modification Description | Updated Date |
|---|---|---|
Related Documents
Folder 332386 Full Announcement-EXPRESS -> DE-FOA-0002497.pdf
Packages
| Agency Contact Information: | Steven Lee Program Manager Phone 301-903-5710 Email: Steven.Lee@science.doe.gov |
| Who Can Apply: | Organization Applicants |
| Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
|---|---|---|---|---|---|---|
| 81.049 | DE-FOA-0002497 | EXPRESS: Randomized Algorithms for Extreme-Scale Science | PKG00266175 | Mar 26, 2021 | May 19, 2021 | View |
Package 1
Mandatory forms
332386 RR_SF424_2_0-2.0.pdf
332386 RR_Budget_1_4-1.4.pdf
332386 PerformanceSite_2_0-2.0.pdf
332386 RR_OtherProjectInfo_1_4-1.4.pdf
Optional forms
332386 RR_SubawardBudget_1_4-1.4.pdf
332386 SFLLL_1_2-1.2.pdf
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