Masaaki Kondo

The University of Tokyo, Japan

A Lightweight Graph Processing Framework for Edge Devices

Abstract

Edge computing provides an effective way to alleviate the burden of cloud computing, enabling lower latency, faster response, and more comprehensive data analyses. Graph-based data has emerged especially in the form of social networks, transportation, biological networks, and so on, which becomes high-impact domains for building smart society. A graph processing solution with low latency and low overhead with edge computing will be necessary but challenging as the resources on end devices are strictly constrained, In this talk, we introduce a graph processing framework specially designed for resource constrained edge devices and show use cases of it.

Biography

Masaaki Kondo received the BS degree in information engineering, in 1998, the MS degree in engineering from the University of Tsukuba, in 2000, and the Ph.D. degree from The University of Tokyo, in 2003. He is currently a professor of information and computer science at Keio University. He is also working at the RIKEN Center for Computational Science as the team leader of Next Generation High Performance Architecture Research Team. Currently, his research interests include computer architecture, high performance computing, VLSI designs, artificial intelligence, and quantum computing.