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Computer Systems Research at the University of North Texas

This talk focuses on several related research projects that aim to improve the performance of HPC, Cloud and emerging Big Data applications. It is an understatement to say that the performance of multicore 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. Software solutions include profiling of data access patterns, relocating data, and restructuring code to improve performance. Hardware solutions include heterogeneous memories that are built using different memory technologies, and near data processing (also known as processing in memory or PIMs). We are evaluating different architectures, including dataflow, coarse gained reconfigurable systems, GPUs and simple in-order RISC processors as PIM elements. 

Bio

Dr. Krishna Kavi is currently a Professor of Computer Science and Engineering at the University of North Texas and the Director of the NSF Industry/University Cooperative Research Center for Net-Centric and Cloud Software and Systems (NCSS I/UCRC). During 2001-2009, he served as the Chair of the department. He also held an Endowed Chair Professorship in Computer Engineering at the University of Alabama in Huntsville, and served on the faculty of the University Texas at Arlington. He was a Program Manager at the National Science Foundation during 1993-1995. He served on several editorial boards and program committees. He published nearly 2000 technical papers, received more than $6.5M in extramural funding and graduated 15 PhDs and more than 40 MS students. He received his BS in Electrical from the Indian Institute of Science and PhD from Southern Methodist University.

Speaker

Krishna Kavi

Date

Thursday, September 22, 2016

Time

1 - 2 pm

Location

IACS Building, Seminar Room

Media

Recording