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|Title=International Conference on Parallel Processing | |Title=International Conference on Parallel Processing | ||
|Type=Conference | |Type=Conference | ||
| − | |||
|Homepage=https://www.hpcs.cs.tsukuba.ac.jp/icpp2019/ | |Homepage=https://www.hpcs.cs.tsukuba.ac.jp/icpp2019/ | ||
|City=Kyoto | |City=Kyoto | ||
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|Start Date=2019/08/05 | |Start Date=2019/08/05 | ||
|End Date=2019/08/08 | |End Date=2019/08/08 | ||
| + | |Academic Field=Parallel Processing | ||
}} | }} | ||
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 held at the Kyoto Research Park (KRP), Kyoto, Japan, in the Old Capital City of Japan. ICPP is one of the oldest computer science conferences and is a premier venue for presenting the latest research on all aspects of parallel processing. | 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 held at the Kyoto Research Park (KRP), Kyoto, Japan, in the Old Capital City of Japan. ICPP is one of the oldest computer science conferences and is a premier venue for presenting the latest research on all aspects of parallel processing. | ||
Revision as of 13:24, 24 August 2022
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 held at the Kyoto Research Park (KRP), Kyoto, Japan, in the Old Capital City of Japan. ICPP is one of the oldest computer science conferences and is a premier venue for presenting the latest research on all aspects of parallel processing.
Topics
- Algorithms: Combinatorial & Numerical, Scheduling, Power-Aware/Energy-Efficient, Machine Learning, Modeling & Analysis
- Applications: Big Data, Data Analytics, Computational Science & Engineering
- Architecture: Processor, Memory, I/O, Network, Instruction-/Thread-/Data-Level Parallelism,Accelerators & other Special-Purpose Hardware, Power-Aware/Energy-Efficient
- Performance: Scalability, Modeling, Evaluation of Hardware & Algorithms, Visualization, Tools.
- Software: Systems Software, Middleware, Programming Models, Languages & Environments, Compilers, Operating Systems, Run-Time Systems, Resource Management
Submissions
Important Dates
Committees
General Chair
- Taisuke Boku (University of Tsukuba, Japan)
Deputy Chair
- Hiroto Tadano (University of Tsukuba, Japan)
Program Co-Chair
- Kengo Nakajima (The University of Tokyo/RIKEN R-CCS, Japan)
- Martin Schulz (Technische Universität München, Germany)
Program Deputy Chair
- Tetsuya Hoshino (The University of Tokyo, Japan)
Workshop Co-Chair
- Toshio Endo (Tokyo Institute of Technology, Japan)
- Federico Silla (Universitat Politècnica de València, Spain)
Poster Chair
- Ryusuke Egawa (Tohoku University, Japan)
Financial Chair
- Toshihiro Hanawa (The University of Tokyo, Japan)
Proceedings Chairs
- Chair: Daisuke Takahshi (University of Tsukuba, Japan)
- Vice chair: Philip C. Roth (Oak Ridge National Laboratory)
Publicity Chair
- Ryohei Kobayashi (University of Tsukuba, Japan)
Local Arrangement Co-Chair
- Tasuku Hiraishi (Kyoto University, Japan)
- Keiichiro Fukazawa (Kyoto University, Japan)
