Major topics and areas of research & development
Exploring the applications of AI/ML algorithms, models, and systems towards intelligent HPC systems
Developing data-driven frameworks that optimize energy consumption across supercomputing facilities, ensuring sustainability without compromising performance.
Bridging the gap between data to insights in HPC data centers
Research on optimizing OS internals to enhance user percieved performance of high-performance NVM based storage devices
Building scalable monitoring systems for large scale distributed systems and networks.
Analytics and AI Methods at Scale Group (AAIMS), Oak Ridge National Laboratory, USA
