01 Overview

2017 Conference on Advanced Topics and Auto Tuning in
High-Performance Scientific Computing
March 10-11, 2017
 Room 202, Astronomy-Mathematics Building
National Taiwan University

Plenary Speaker

Invited Speakers

  • Ming-Hung Chen (National Taiwan University)
  • Ray-Bing Chen (National Cheng Kung University)
  • Cheng-Ying Chou (National Taiwan University, Taiwan)
  • Ryusuke Egawa (Tohoku University)
  • Akihiro Fujii (Kogakuin University)
  • Feng-Nan Hwang (National Central University)
  • Akihiro Ida(The University of Tokyo)
  • Toshiyuki Imamura (RIKEN AICS)
  • Hsueh-Fen Juan (National Taiwan University)
  • Takahiro Katagiri (Nagoya University)
  • Kazuhiko Komatsu (Tohoku University)
  • Yueh-Cheng Kuo (National University of Kaohsiung)
  • Te-Sheng Lin (National Chiao-Tung University)
  • Tsung-Lin Lee (National Sun Yat-sen University)
  • Koki Masui (Nagoya University)
  • Toru Nagai (Nagoya University)
  • Kengo Nakajima (Information Techology Cetner, The University of Tokyo)
  • Junji Nakano (The Institute of Statistical Mathematics)
  • Satoshi Ohshima (The University of Tokyo)
  • Reiji Suda (the University of Tokyo)
  • Daisuke Takahashi (University of Tsukuba)
  • Hiroyuki Takizawa (Tohoku University)
  • Teruo Tanaka (Kogakuin University)
  • Yung-Yu Zhuang (National Central University)

Organizing Committee

Aims and Scope

The Conference on Advanced Topics and Auto Tuning in High-Performance Scientific Computing focuses on the scientific impacts due to the latest computer architectures and the approaches to achieve high-performance computing on these leading-edge computers. Advances in many-core architectures and high-end computers have unveiled their significances in the scientific discoveries and engineering achievements. The complexity of these newly developed computers, however, also leads to contemporary challenges to achieve the best efficiency of the highly promising computational capabilities. The conference encourages interdisciplinary communications between researchers from applied mathematics, statistics, computer science, physical sciences, engineering and industry to prompt innovations and breakthroughs in this exciting field. The main themes include, but not limited to, simulations, numerical methods, applications, hardware, and particularly software and algorithm auto-tuning via statistical methods.

Contact Person

Ms. Chia-Ling Lee (peggylee@ncts.ntu.edu.tw)