Unlock $1B for Cutting-Edge Computing Tech
Summary
This grant supports interdisciplinary teams, including academic, national lab, and industry partnerships, in developing advanced hardware and software for next-generation, high-performance computing systems. If your business is at the forefront of computer science and engineering, you could secure funding to overcome critical barriers in exascale computing.
Eligibility
Full Description
The Office of Advanced Scientific Computing Research (ASCR) of the Office of Science (SC), U.S. Department of Energy (DOE), hereby announces its interest in receiving applications from interdisciplinary teams of Computer Science/Computer Engineering researchers in the areas of Advanced Architectures and Critical Technologies for Exascale Computing. Multi institutional applications with cohesive emphasis on transformational discoveries that address key barriers on the path to exascale computing are encouraged. Partnerships among academic institutions, National Laboratories, and industry are strongly encouraged.
This program is managed in cooperation with NNSA and DARPA. Scientific challenges such as understanding the causes and potential impacts of climate change, improving the efficiency of combustion, and unraveling the mysteries of dark energy and dark matter, as well as a variety of national security challenges, require computational capabilities at extreme scale. At the same time, industry reports make it clear that the exponential growth in processor clock speeds that sustained increases in computational speed for more than 15 years has ended. Projections suggest that building an exascale computer from today?s technology would cost approximately $1 billion, with power consumption of over a Gigawatt and a mean time between failures of only ten minutes.
This Funding Opportunity Announcement invites applications for basic and applied research to address fundamental challenges in the design of energy-efficient, resilient hardware and software architectures and technology for high performance computing systems at exa-scale.