FOA 24-3300: Funding opportunity solicitation in the EXPRESS program; $10.8 million over 2 years (FY24-26); Lead PM Kalyan Perumalla
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, visualization, and artificial intelligence on increasingly heterogeneous architectures. 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 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.
Exploratory Research for Extreme-Scale Science (EXPRESS) opportunities exist for the following research topics:
Applications submitted in response to this FOA must substantially address one among the preceding list of research topics.