EXPRESS: 2022 Exploratory Research for Extreme Scale Science
Event details
| Date | 23.06.2022 |
| Category | Call for proposal |
AIM: 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.
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.
RESEARCH OPPORTUNITIES
Exploratory Research for Scientific Computing (EXPRESS) opportunities exist for the following research topics:
A. Federated Scientific Machine Learning
B. Differentiable Programming
C. Explainable Artificial Intelligence
D. Parallel Discrete Event Simulation
E. Quantum Algorithms and Mathematical Methods
F. Quantum Computing at the Edge
DEADLINE: A pre-application (two pages) is required and must be submitted by May 12, 2022 5:00 PM ET. Submission Deadline for Applications is June 23, 2022 at 11:59 PM ET.
ELIGIBILITY: EPFL researchers are eligible to participate as subawardee or as a prime if they possess skills, resources and abilities that do not exist among potential applicants in the U.S.
HOW TO APPLY: Get in touch with potential partners in the U.S. if you wish to participate as a partner in a collaborative project. To apply as a prime, pre-applications must be submitted electronically through the DOE SC Portfolio Analysis and Management System (PAMS) website https://pamspublic.science.energy.gov/ .
FOR FURTHER INFORMATION: DOE anticipates making awards with a project period of two years. ($200’000 per year). Please refer to the DE-FOA-0002717 and contact the Research Office for any question and assistance.
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.
RESEARCH OPPORTUNITIES
Exploratory Research for Scientific Computing (EXPRESS) opportunities exist for the following research topics:
A. Federated Scientific Machine Learning
B. Differentiable Programming
C. Explainable Artificial Intelligence
D. Parallel Discrete Event Simulation
E. Quantum Algorithms and Mathematical Methods
F. Quantum Computing at the Edge
DEADLINE: A pre-application (two pages) is required and must be submitted by May 12, 2022 5:00 PM ET. Submission Deadline for Applications is June 23, 2022 at 11:59 PM ET.
ELIGIBILITY: EPFL researchers are eligible to participate as subawardee or as a prime if they possess skills, resources and abilities that do not exist among potential applicants in the U.S.
HOW TO APPLY: Get in touch with potential partners in the U.S. if you wish to participate as a partner in a collaborative project. To apply as a prime, pre-applications must be submitted electronically through the DOE SC Portfolio Analysis and Management System (PAMS) website https://pamspublic.science.energy.gov/ .
FOR FURTHER INFORMATION: DOE anticipates making awards with a project period of two years. ($200’000 per year). Please refer to the DE-FOA-0002717 and contact the Research Office for any question and assistance.
Practical information
- General public
- Free