Lecturer:Tian Min

Abstract:

High performance computing technology is one of the technological commanding heights for the development of technology in the age of information. In recent years, China has made rapid progress in supercomputer development technology while lagging behind in software development. It is necessary to develop new algorithms and extend the implementation technology intended for the complex architecture of exascale computing and the complex application characteristics, so as to meet the need of complex applications for precise numerical simulation. This report introduces the design and optimization methods of parallel numerical algorithms, such as super-large scale matrix equation solving, and their typical applications, taking into account the architecture characteristics of the Sunway domestic supercomputer platform.

Science Lecture by Professional Committee on Numerical Methods for Oil and Water Resources, China Society of Industrial and Applied Mathematics (CSIAM)

Introduction to the Lecturer:

Tian Min, associate researcher at Shandong Computer Science Center (National Supercomputing Center in Jinan), team leader of High Performance Math Library. Main research areas: high performance computing, parallel numerical algorithm design and optimization. Tian Min has led or participated in more than 10 scientific research programs such as National Key Technology Research and Development Program, and High Performance Computing supported by National Key R&D Program, has 12 SCI/CI papers published in domestic and international academic journals and conferences, and owns two granted patents for invention.

Invitee:

Xi Kaihua

Time:

14:30-15:30, June 9 (Wednesday)

Venue:

Academic Hall #924, Block B, Zhixin Building, Central Campus

Hosted by the School of Mathematics, Shandong University