Building the Paradigm of Big Model + Big Computational Platform for Universal Representation Learning and Deep Consensus Learning
In the big data era, improved computing performance enables academic research to gain insights and innovate faster. GPU-based computational infrastructure is essential for the success of deep learning, artificial intelligence, and big data. To support research topics, a Big Model + Big Computational Platform is being designed and constructed with a focus on GPU-based computational infrastructure. NC State seeks to leverage this platform to better support research and innovation.
Sponsor
US Army - Army Research Office
The grant—running from February 1, 2022 to January 31, 2023—is for a total of $209,858.
Principle Investigators
Tianfu Wu
More Details
In the unprecedented big data era, computing performance matters in improving academic research, gaining insights and innovating faster at scale. GPU based computational infrastructure platform is one of the most important aspects enabling the recent remarkable success in deep learning and artificial intelligence, together with big data. In designing and constructing the proposed Big Model + Big Computational Platform for the proposed research topics, we are also interested in GPU-based computational infrastructure platform.