Best paper and poster of ICPP2019
A Parallel Graph Algorithm for Detecting Mesh Singularities in Distributed Memory Ice Sheet Simulations
Ian A. Bogle (Rensselaer Polytechnic Institute), Karen Devine (Sandia National Laboratories), Mauro Perego (Sandia National Laboratories), Siva Rajamanickam (Sandia National Laboratories), George M. Slota (Rensselaer Polytechnic Institute)
Implementation of Partitioning of Hierarchical Matrices using Task Parallel Languages
Zhengyang Bai (Kyoto University), Tasuku Hiraishi (Kyoto University), Hiroshi Nakashima (Kyoto University), Akihiro Ida (The University of Tokyo), Masahiro Yasugi (Kyushu Institute of Technology)
Call for Participation
The registration site has been opened!!
If you have any troubles about the registration, please feel free to e-mail to firstname.lastname@example.org
The 48th International Conference on Parallel Processing (ICPP 2019) will be held in Kyoto, Japan on August 5-8, 2019.
High performance computing is a key technology to solve large problems in science, engineering, and business by utilizing computing power which has been evolving to the future. The International Conference on Parallel Processing (ICPP) is one of the oldest continuously running computer science conferences in parallel computing in the world. It is a premier forum for researchers, scientists, and practitioners in academia, industry, and government to present their latest research findings in all aspects of the field.
Parallel and distributed computing is a central topic in science, engineering and society. ICPP, the International Conference on Parallel Processing, provides a forum for engineers and scientists in academia, industry and government to present their latest research findings in all aspects of parallel and distributed computing.
ICPP 2019 will be organized around the following tracks (but not limited to):
- Algorithms, including combinatorial and numerical; scheduling; power- aware/energy-efficient; machine learning; modeling & analysis.
- Applications, including big data; data analytics; computational science & engineering (e.g., aerospace, arts; biology, finance, geology).
- Architecture, including processor; memory; I/O; network; instruction-, thread- and data-level parallelism; accelerators & other special-purpose hardware; power-aware/energy-efficient.
- Performance, including scalability; modeling; evaluation of hardware & algorithms; visualization; tools.
- Software, including systems software; middleware; programming models, languages, and environments; compilers; operating systems; run-time systems; resource management.
We are looking forward to your great contributions and seeing you in the beautiful and historical city of Japan!!