At the 2017 IEEE/ACM International Symposium on Microarchitecture, Philip Dunham Reed Professor of Electrical and Computer Engineering Mikko Lipasti received the Test of Time Award for his PhD thesis, “Exceeding the dataflow limit via value prediction.” Published in the 1996 MICRO conference proceedings, the paper has received 147 citations and 864 downloads since its publication. The 2017 award recognizes the most influential papers out of 156 total published in the conference proceedings between 1995 and 1999. In the paper, Lipasti and coauthor John Paul Shen of Carnegie Mellon University proposed a new technique, called value prediction, for exceeding the limit that allows data-dependent instructions to issue and execute in parallel without violating program semantics. For more than a decade and a half, Lipasti and his students have focused on improving performance, power consumption and reliability for computing systems with one or more processing cores.
Author: Renee Meiller