DE-FOA-0002497 – EXPRESS: Randomized Algorithms for Extreme Scale Sciences
Slots: All slots have been granted.
Internal Deadline: Contact ORIF if interested; first-come, first-served due to time constraint.
LOI: April 16, 2021, 5pm ET
External Deadline: May 19, 2021
Award Type: Grants / National Laboratory Authorizations
Anticipated Amount: Awards are $150,000 per year for grants and $400,000 per year for DOE National Laboratories.
Process for Limited Submissions: PIs must submit their application as a Limited Submission through the Office of Research Application Portal: https://research.usc.edu/usc-grants/.
Materials to submit include:
(1) Single Page Proposal Summary (0.5” margins; single-spaced; font type: Arial, Helvetica, or Georgia typeface; font size: 11 pt). Page limit includes references and illustrations. Pages that exceed the 1-page limit will be excluded from review.
(2) CV – (5 pages maximum)
Note: The portal requires information about the PIs and Co-PIs in addition to department and contact information, including the 10-digit USC ID#, Gender, and Ethnicity. Please have this material prepared before beginning this application.
Who May Serve as PI: Individuals with the skills, knowledge, and resources necessary to carry out the proposed research as Principal Investigators (PIs) are invited to work with their organizations to develop an application. Individuals from underrepresented groups as well as individuals with disabilities are always encouraged to apply.
Purpose: 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.
The research and development of randomized algorithms will provide an important foundation for advances in AI, data science, and scientific computing. Fundamental properties of randomness can be harnessed to address massive data and post-Moore computational grand challenges. Research topic areas of interest include approaches for dealing with:
- High computation and communication complexity and the development of efficient algorithms,
- High data dimensionality and finding sparse representations for data from scientific instruments and user facilities,
- Better algorithm scalability for low-power, high-performance edge computing,
- Reduced ill-conditioning and sensitivity for inverse problems, and
- Improved algorithm reliability and robustness to noise.
Budgetary Requirements: Cost sharing for basic and fundamental research is not required pursuant to an exclusion from the requirements of Section 988 of the Energy Policy Act of 2005.
Visit our Institutionally Limited Submission webpage for more updates and other announcements.