Power Efficient Machine Learning in Silicon

Power efficiency is a key aspect in computer systems both in high-end servers and in portable devices. The focus of this talk is to discuss how the numerical formats of data impacts the energy efficiency of the computation, and how to trade-off accuracy with power savings. Machine Learning and Deep Learning are used as case studies to present the key ideas and the benefits derived by a flexible format to represent numerical data.


When: 9.45am
Where: Aula Alfa (Piano terra Via Salaria 113)
Bio: Alberto Nannarelli is an associate professor at the Technical University of Denmark. He graduated in electrical engineering from the University of Roma "La Sapienza", Italy, in 1988 and received the M.S. and the Ph.D. in electrical and computer engineering from the University of California at Irvine in 1995 and 1999, respectively.

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