ABSTRACT
This talk focuses on several related research projects that aim to improve the performance of Cloud and emerging Big Data applications. At UNT, we have been developing simulators and tracing tools in order to identify performance bottlenecks and evaluate techniques for minimizing the impact of these bottlenecks. 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 customizing cache address mapping (or indexing) for different threads and/or different objects within an application, simultaneous existence of multiple address mappings, eliminating unnecessary write-backs in memory hierarchy and better memory management. We are also evaluating our approaches in the context of emerging memory technologies including 3D DRAMs and non-volatile memories.

BIOGRAPHY
Dr. Krishna Kavi is currently a Professor of Computer Science and Engineering and the Director of the NSF Industry/University Cooperative Research Center for Net-Centric Software and Systems at the University of North Texas. 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 Scientific Program Manger at US National Science Foundation during 1993-1995. He served on several editorial boards and program committees.

His research is primarily on Computer Systems Architecture including multi-threaded and multi-core processors, cache memories and hardware assisted memory managers. He also conducted research in the area of formal methods, parallel processing, and real-time systems. He published more than 150 technical papers in these areas. He received more than US $5 M in research grants. He graduated 14 PhDs and more than 35 MS students. He received his PhD from Southern Methodist University in Dallas Texas and a BS in EE from the Indian Institute of Science in Bangalore, India.

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