Monday, November 20, 2017 - 4:00pm to 4:50pm
LPSC 125

Speaker Information

Brian M. Kurkoski
Associate Professor
Japan Advanced Institute of Science and Technology

Abstract

Your smartphone has many communications receivers, not only in its various wireless interfaces, but in the flash memory controller as well.  In fixed-precision VLSI receivers, reducing the number of bits used to represent messages will reduce power consumption and increase battery life. This presentation describes the design of fixed-precision receivers from an information theory perspective. This can be called "hardware-aware information theory" because the objective is to maximize mutual information (an information theory quantity) while minimizing the number of message bits (in the hardware implementation).  Results from machine learning play a key role, because quantization can be seen as classification.  Numerical results show that LDPC decoders based on the proposed max-LUT method can outperform belief-propagation decoders.

Speaker Bio

Brian M. Kurkoski is an Associate Professor at the Japan Advanced Institute of Science and Technology (JAIST) in Nomi, Japan. Born in Portland, Oregon, he received the B.S. degree from the California Institute of Technology in 1993, and then worked at two California startups. He received the M.S. and Ph.D. degrees from the University of California San Diego in 2000 and 2004, respectively. He received a JSPS Postdoctoral Fellowship from 2004 to 2006, while at the University of Electro-Communications in Tokyo, Japan, where he continued as Associate Professor from 2007 to 2012. He has been at JAIST since 2012. He was an associate editor for IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences from 2010 to 2014. He is chair of the Data Storage Technical Committee, a technical committee of the IEEE Communications Society for 2017–2018, and was secretary for 2013–2016.