LHAM 2017 : The 5th International Workshop on Legacy HPC Application Migration
Call For Papers
CALL FOR PAPERS:
LHAM 2017: The 5th International Workshop on Legacy HPC Application Migration
November 19-22, 2017, Aomori, Japan, to be held in conjunction with CANDAR.
Workshop website: http://is-candar.org/lham17/
===== Important dates =====
* Workshop abstract submission due: August 1, 2017
* Workshop paper submission due: August 6, 2017
* Workshop author notification: September 10, 2017
* Final camera-ready paper submission due: September 22, 2017
See more details at: http://is-candar.org/schedule
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.
The LHAM is to be held in conjunction with CANDAR'17
===== Paper format =====
* Regular paper: 5-7 pages
* Poster paper: 3-4 pages
===== Submission Instruction =====
Please see Workshop Paper Submission Instruction.
===== Publication =====
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.
===== Special Issue =====
We plan to publish extended versions of selected papers in IEICE Transactions on Information and Systems (http://search.ieice.org/bin/index.php?category=D&lang=E&curr=1) and in International Journal of Networking and Computing (http://ijnc.org/). Please see the following URL
for the details.
===== Organizers =====
==== Workshop Chair: ====
* Hiroyuki Takizawa, Tohoku University, Japan
==== Program Chair: ====
* Fumihiko Ino, Osaka University, Japan
==== Advisory Committee: ====
* Wen-mei Hwu, The University of Illinois at Urbana-Champaign, USA
* Chisachi Kato, The University of Tokyo, Japan
* Michael Resch, The High Performance Computing Center Stuttgart, Germany
==== Program Committee: ====
* Ritu Arora, Texas Advanced Computing Center, University of Texas at Austin, USA
* Carlo Cavazzoni, CINECA, Italy
* Anshu Dubey, Argonne National Laboratory, USA
* Ryusuke Egawa, Tohoku University, Japan
* Toshio Endo, Tokyo Institute of Technology, Japan
* Keiichiro Fukazawa, Kyoto University, Japan
* Edgar Gabriel, University of Houston, USA
* Jose Gracia, High-Performance Computing Center Stuttgart, Germany
* Mary Hall, University of Utah, USA
* Akihiro Hayashi, Rice University, USA
* Shoichi Hirasawa, National Institute of Informatics, Japan
* Kazuhiko Komatsu, Tohoku University, Japan
* Atsushi Kubota, Hiroshima City University, Japan
* Kiyoshi Kumahata, RIKEN Advanced Institute for Computational Science, Japan
* Seyong Lee, Oak Ridge National Laboratory, USA
* Shirley Moore, Oak Ridge National Laboratory, USA
* Takeshi Nanri, Kyushu University, Japan
* Masao Okita, Osaka University, Japan
* Reiji Suda, The University of Tokyo, Japan
* Daisuke Takahashi, University of Tsukuba, Japan
* Vadim Voevodin, Lomonosov Moscow State University, Russia
* Cheng Wang, Microsoft, USA