The National Science Foundation will invest $90 million in funds to support an initiative that seeks to develop a framework that will scale high-performance computing platforms and applications, HPCwire reported Monday.
The Principles and Practice of Scalable Systems program aims to address scalability gaps with artificial intelligence and machine learning approaches. It will also validate the distributed trait of applications and accommodate proof-of-principles for scalable and secure applications, tools and systems.
"We are now entering a new era, where achieving the same pace of transformative computing innovation will require a refamiliarization of different communities—algorithms, hardware, networking, software, systems—with each other’s domains and the development of new abstractions and paradigms to handle the domain-specific challenges we are already confronting,” said Rance Cleaveland, director at NSF's computing and communications foundations division.
NSF has started accepting submissions for the initiative's planning phase, while proposals for large projects will be entertained in 2021. Proposals for large projects are required to employ full-stack approaches within various areas. Fifteen projects may receive grants up to $80 million for the project phase of the program.