This talk focuses on several related research projects on micro-architecture design as well as memory systems that aim to improve the performance of HPC, ML, Cloud and emerging Big Data applications. It is an understatement to say that the performance of computer systems is limited by their memory systems’ performance. Our research has developed both hardware and software solutions to improve the performance of cache memories, and how new memory technologies such as 3D stacked DRAMs, Phase Change Memories can be included in the memory hierarchies. We are also working on off-loading some functions to processing-in-memory or near-memory-processing logic, particularly runtime and OS functions. We will also outline our approach to mitigate recent security attacks based on cache memories and speculative execution used in most processing systems.
Somewhat unrelated to computer systems, we have also been investigating the use of Ontologies for capturing and analyzing cyber security threats.
Dr. Krishna Kavi is currently a Regents Professor of Computer Science and Engineering at the University of North Texas. He also served as the Director of the NSF Industry/University Cooperative Research Center for Net-Centric and Cloud Software and Systems (NCSS I/UCRC), and as the Chair of CSE department at UNT. Prior to joining UNT, he held an Endowed Chair Professorship in Computer Engineering at the University of Alabama in Huntsville and on the faculty of the University Texas at Arlington. He was an NSF program manager between 1993-1995. He served on several editorial boards and program committees. He published more than 200 technical papers, received more than $10M in extramural funding and graduated 20 PhDs. He received his BS in Electrical from the Indian Institute of Science and PhD from Southern Methodist University.
Friday, March 26 at 2:30pm to 3:30pmVirtual Event