The grant could provide up to $500,000.
The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in basic research to explore potentially high-impact approaches in scientific computing and extreme-scale science. SUPPLEMENTARY INFORMATION Extreme-scale science recognizes that disruptive technology changes are occurring across science applications, algorithms, computer architectures and ecosystems. Recent reports point to emerging trends and advances in high-end computing, massive datasets, scientific machine learning, artificial intelligence (AI) on increasingly heterogeneous architectures, including neuromorphic and quantum systems. Significant innovation will be required in the development of effective paradigms and approaches for realizing the full potential of scientific computing from emerging technologies. Proposed research should not focus strictly on a specific science use case, but rather on creating the body of knowledge and understanding that will inform future advances in extreme-scale science. Consequently, the funding from this FOA is not intended to incrementally extend current research in the area of the proposed project. It is expected that the proposed projects will significantly benefit from the exploration of innovative ideas or from the development of unconventional approaches. DOE is committed to promoting the diversity of investigators and institutions it supports, as indicated by the ongoing use of program policy factors (see Section V) in making selections of awards. To strengthen this commitment, DOE encourages applications that are led by, or include partners from Established Program to Stimulate Competitive Research (EPSCoR)[1] states, that are underrepresented in the ASCR portfolio[2] and applications led by individuals from groups historically underrepresented in STEM. RESEARCH OPPORTUNITIES Exploratory Research for Extreme-Scale Science (EXPRESS) opportunities exist for the following research topics: A) Modeling Future Supercomputing Systems B) Programming Techniques for Computational Physical Systems C) Quantum Algorithms across Models [1] https://beta.nsf.gov/funding/initiatives/epscor/state-websites [2] Information about SC awards can be found in the Public Award Search at https://pamspublic.science.energy.gov/WebPAMSExternal/Interface/Awards/AwardSearchExternal.aspx
