Scientific Discovery through Advanced Computing (SciDAC) Institutes
Abstract
LAB 25-3510: Funding opportunity solicitation in the SciDAC program; $75 million over 5 years (FY25-30)
Solicitation PDF
- Original at OSTI
- Cached local copy
Selected Pages
Selected Extracts
The DOE Office of Science (SC) program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in receiving proposals from large multi-disciplinary and multi- institutional teams for the Scientific Discovery through Advanced Computing (SciDAC) Institutes, as part of the SC SciDAC Program.
The ASCR program’s mission (https://science.osti.gov/ascr and https://science.osti.gov/ascr/Community-Resources/Program-Documents) is to advance applied mathematics and computer science; deliver the most sophisticated computational scientific applications in partnership with disciplinary science; advance computing and networking capabilities; and develop future generations of computing hardware and software tools for science and engineering, in partnership with the research community.
The SciDAC Program (https://www.scidac.gov) was initiated in 2001 as an SC-wide program to dramatically accelerate progress in scientific discovery via advanced computing. SciDAC consists of ASCR-funded SciDAC Institutes and SciDAC Partnerships co-funded by ASCR with SC and other DOE programs. Since its inception, the SciDAC program has been recognized as a leader in enabling scientific discoveries that would not have been possible without the deep collaborations between discipline scientists, applied mathematicians, and computer scientists.
This Announcement seeks proposals for SciDAC Institutes, which are a key part of the SciDAC program. Specifically, this Announcement is for the selection for award of proposals for two types of SciDAC Institutes: Computer Science Institute (CSI), and Applied Mathematics Institute (AMI).
Kalyan Perumalla
R&D Manager
Kalyan Perumalla is an R&D Manager with 25 years of experience. As a Federal Program Manager in Advanced Scientific Computing Research at the U.S. Dept. of Energy, Office of Science, Kalyan Perumalla manages a $100-million R&D portfolio covering AI, HPC, Quantum, SciDAC, and Basic Computer Science. He previously led advanced R&D as Distinguished Research Staff Member at the Oak Ridge National Laboratory (ORNL) developing scalable software and applications on the world’s largest supercomputers for 17 years, including as a line manager and a founding group leader. He has held senior faculty and adjunct appointments at UTK, GT, and UNL, and was an IAS Fellow at Durham University.