LHAM'17

5th International Workshop on Legacy HPC Application Migration

To be held in conjunction with CANDAR'17, Aomori, Japan, November 19-22, 2017

In HPC software development, a high priority is given to performance. Many application developers usually adapt their application programs for a particular system to fully exploit the potential of the system with system-specific optimizations. Whenever their target system is updated to an emerging system, they are required to evolve the application programs to maximize the performance on the new generation system. This is so-called legacy HPC application migration. The migration cost increases with the hardware complexity of target systems, and moreover, future HPC systems are expected to be extremely massive and heterogeneous. Therefore, software evolution will require more efforts and will be essential for scaling up the performance in the upcoming extreme-scale computing era.

The goal of this workshop is to share practices and experiences on software evolution such as modernizing legacy applications on the latest HPC systems, and also discuss coming and developing technologies and research directions to improve the performance and productivity of applications on emerging systems. In particular, we will focus on the following topics of interest, but not limited to:

• Programming models, languages and frameworks for facilitating HPC software evolution and refactoring.
• Algorithms and implementation methodologies for future-generation computing systems, including manycores and accelerators (GPUs, Xeon Phi, etc).
• Automatic performance tuning techniques, runtime systems and domain-specific languages for hiding the complexity of underlying system architectures.
• Practices and experiences on porting of legacy applications and libraries.

• Regular paper: 5-7 pages
• Poster paper: 3-4 pages

Please see Workshop Paper Submission Instruction.

See details at: http://is-candar.org/schedule/

The conference and workshop proceedings will be published by Conference Publishing Service and submitted to IEEE Xplore and CSDL digital libraries. Also they are submitted for indexing through INSPEC, EI (Compendex), Thomson ISI, and other indexing services.

We plan to publish extended versions of selected papers from CANDAR'17 main conference and workshops. Please see Special Issue for the details.

• Hiroyuki Takizawa (Tohoku University)

• Fumihiko Ino (Osaka University)

• Wen-mei Hwu, The University of Illinois at Urbana-Champaign
• Chisachi Kato, The University of Tokyo
• Michael Resch, The High Performance Computing Center Stuttgart, Germany

• Ritu Arora, Texas Advanced Computing Center, University of Texas at Austin
• Carlo Cavazzoni, CINECA
• Anshu Dubey, Argonne National Laboratory
• Ryusuke Egawa, Tohoku University
• Toshio Endo, Tokyo Institute of Technology
• Keiichiro Fukazawa, Kyoto University
• Edgar Gabriel, University of Houston
• Jing Gong, KTH Royal Institute of Technology
• José Gracia, High-Performance Computing Center Stuttgart
• Mary Hall, University of Utah
• Akihiro Hayashi, Rice University
• Shoichi Hirasawa, National Institute of Informatics
• Kazuhiko Komatsu, Tohoku University
• Atsushi Kubota, Hiroshima City University
• Kiyoshi Kumahata, RIKEN Advanced Institute for Computational Science
• Seyong Lee, Oak Ridge National Laboratory
• Shirley Moore, Oak Ridge National Laboratory
• Takeshi Nanri, Kyushu University, Japan
• Masao Okita, Osaka University
• Reiji Suda, The University of Tokyo
• Daisuke Takahashi, University of Tsukuba
• Vadim Voevodin, Lomonosov Moscow State University
• Cheng Wang, Microsoft