18 May, 2018
Seminar on Data-Intensive Paradigms for Vehicle RoutingProf Ken Salem, Professor in the Cheriton School of Computer Science of the University of Waterloo, visited HKUST and gave a talk titled “Power Transaction Processing Proportional” on 18 May 2018. The talk was jointly held by the Big Data Institute and Department of Computer Science and Engineering of HKUST.
Servers consume a lot of power. They are more inefficient when they are not fully loaded, which is common. In this talk, Prof Ken Salem focused specifically on transaction processing servers, and considered what we can do, in software, to make such servers more power proportional.
Prof Ken Salem presented two pieces of recent work. The first focuses on improving the power proportionality of CPUs through careful management of CPU voltage and frequency scaling. The second focuses on improving the power proportionality of memory, which is of growing concern because of the demand for in-memory computing.
Prof Ken Salem is a Professor in the Cheriton School of Computer Science at the University of Waterloo, which he joined in 1994. He received his Ph.D. in computer science from Princeton University in 1989 and spent several years at the University of Maryland before moving to Waterloo. He has also held visiting research positions at IBM's Almaden Research Center and at HP Laboratories in Palo Alto. His research interests include database management, storage systems, and cloud computing. His work has led to best paper awards at the International Conference on Very Large Data Bases (VLDB) in 2011 and the ACM Symposium on Cloud Computing (SoCC) in 2015, and the influential paper award at the IEEE International Conference on Data Engineering (ICDE) in 2007. He is an ACM Distinguished Scientist.