Plenary Speakers


2

Prof. Katsuki Fujisawa

Title: Advanced Computing & Optimization Infrastructure for Extremely Large-Scale Graphs on Post Peta-Scale Supercomputers

Prof. Katsuki Fujisawa (Kyushu University, Japan & Advanced Industrial Science and Technology, Japan)

Abstract

In this talk, we present our ongoing research project. The objective of this project is to develop advanced computing and optimization infrastructures for extremely large-scale graphs on post peta-scale supercomputers. We explain our challenge to Graph 500 benchmarks that are designed to measure the performance of a computer system for applications that require irregular memory and network access patterns. In 2014 to 2016, our project team was a winner of the 8th and 10th to 13th Graph500 benchmark.
We have started the research project for developing the Urban OS (Operating System) on a large-scale city from 2013. The Urban OS, which is regarded as one of emerging applications of cyber-physical system (CPS), gathers big data sets of people and transportation movements by utilizing different sensor technologies and storing them to the cloud storage system. The Urban OS employs the graph analysis system developed by our research project above and provides a feedback to a predicting and controlling center to optimize many social systems and services. We briefly explain our ongoing research project for realizing the Urban OS.

Biography

Professor Katsuki Fujisawa has been a Full Professor at the Institute of Mathematics for Industry (IMI) of Kyushu University. He had also been a research director of the JST (Japan Science and Technology Agency) CREST (Core Research for Evolutional Science and Technology) post-Peta High Performance Computing from 2011 to 2017. He received his Ph. D. from the Tokyo Institute of Technology in 1998. The objective of the JST CREST project is to develop an advanced computing and optimization infrastructure for extremely large-scale graphs on post peta-scale supercomputers. His project team has challenged the Graph500 benchmark, which is designed to measure the performance of a computer system for applications that require irregular memory and network access patterns. In 2014 to 2016, his project team was a winner of the 8th and 10th to 13th Graph500 benchmark. In 2017, He received the Prize for Science and Technology (Research Category), Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology, Japan


 

obayashi

Prof. Shigeru Obayashi

Title: Industrial Applications of Multi-Objective Design Exploration 

Prof. Shigeru Obayashi (Tohoku University, Japan)

Abstract

Evolutionary Computation is a powerful computational tool for engineering design. Design space can be mathematically defined by design variables and design objectives. If multiple design objectives are specified, design space can be regarded as a multi-objective optimization problem. Among the multiple design objectives, conflicting objectives are essential and they will provide Pareto-optimal solutions, which form a Pareto front, a key feature in the design space. The shape of the Pareto front tells various aspects of design tradeoffs. Data mining techniques, such as Self-Organizing Map, has been successfully applied to extract design knowledge from the Pareto solutions.

The first commercial jet aircraft developed in Japan, named the Mitsubishi Regional Jet (MRJ), completed its first flight on November 11, 2015. The development of MRJ focused on environmental issues, such as reduction of exhaust emissions and noise. Moreover, in order to bring the jet to market, lower-cost development methods using computer-aided design were also employed. Collaborating with Mitsubishi Heavy Industries, Ltd. (MHI), the design of the aircraft was formulated as a Multidisciplinary Design Optimization (MDO) problem and a new approach named Multi-Objective Design Exploration (MODE) was developed. MODE reveals the structure of the design space from trade-off information and to visualize it as a panorama for a decision maker by using the Pareto front. Industrial applications of MODE will be reviewed, including the development of MRJ.

Biography

Professor Shigeru Obayashi is a full professor and director of Institute of Fluid Science (IFS) at Tohoku University, Japan. His research interests include Computational Fluid Dynamics (CFD), Multidisciplinary Design Optimization (MDO), Multi-Objective Design Exploration (MODE), Evolutionary Computation, Data Mining, Experimental Fluid Dynamics and Data Assimilation. Prof. Obayashi received his PhD degree in Engineering at University of Tokyo. He was a senior researcher at NASA Ames Research Center and helped to develop the three-dimensional unsteady Navier-Stokes numerical algorithms. He joined the department of aeronautics and space engineering at Tohoku University since 1994, promoted to a full professor in 2003 and served as the director of Transdisciplinary Fluid Integration Research Center under IFS from 2008-2013. He is IEEE Fellow, associate fellow of American Institute of Aeronautics and Astronautics (AIAA), fellow of Japan Society of Mechanical Engineers (JSME), Japan Society of Fluid Dynamics and Japan Society for Aeronautical and Space Sciences, and President of Japan Society for Evolutionary Computation for 2015-2016. He received several research awards, including JSME’s 2007 Funai award and The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology, 2014.