GCA 2020 - The Fifth International Workshop on GPU Computing and AI

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GCA'20: https://is-candar.org/GCA20/
The Fifth International Workshop on GPU Computing and AI (GCA)
https://is-candar.org/GCA20/
to be held in conjunction with
The Eighth International Symposium on Computing and Networking (CANDAR'20),
Naha(virtual), Okinawa, Japan, November 24-27, 2020
https://is-candar.org/
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[Special announcement regarding COVID-19 situation]
- Due to the COVID-19 situation, CANDAR 2020 including GCA will be held virtually this year.
- The review process will be conducted as in previous editions.
- The details of online presentation will be informed later.
- All accepted papers will be published on IEEE CPS as previous years.
[Introduction]
Built for massive parallelism, General Purpose computing on Graphic
Processing Unit (GPGPU) has superseded high-performance CPU in several
important tasks, including computer graphics, physics calculations,
encryption/decryption and scientific computations. Also, GPGPUs have
been considered as a natural alternative to fulfill the computing
needs for Artificial Intelligence and Machine Learning applications.
Recent developments have shown intensive research activity in these
fields.
The goal of this workshop is to provide a forum to discuss and
evaluate emerging techniques, platforms and applications, capable of
harvesting the power of current GPGPUs as well as to share new ideas
from the research area of Artificial Intelligence.
The GCA workshop seeks for high-quality papers on various topics,
including but not limited to:
* GPU computing
- GPU applications
- Computer graphics on GPUs
- GPU compilation
- GPU programming environments
- GPU power efficiency
- GPU architectures
- GPU theoretical computing models
- GPU benchmarking/measurements
- GPU embedded systems
- Multi-GPU systems
- GPU cluster
- Heterogeneous GPU platforms
- CPU-GPU cooperation
- CUDA/OpenCL/OpenACC
- Deep learning on GPUs
* Artificial intelligence
- Artificial neural networks
- Big data analytics
- Data mining
- Deep learning
- Experts systems
- Fuzzy logic
- Machine learning
- Natural language processing
- Computer vision
- Reinforcement learning
[Paper format]
* Regular paper: 5-7 pages
* Poster paper: 3-4 pages
[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.
[Important dates]
* Abstract submission due: August 30, 2020 (extended)
* Paper submission due: September 4, 2020 (extended)
* Paper notification: October 5, 2020
* Final camera-ready paper submission due: October 23, 2020
* Workshop: November 24-27, 2020
[Organizers]
* Workshop co-chairs
- Jacir L. Bordim (University of Brasilia)
- Yasuaki Ito (Hiroshima University)
[Program Committee]
* Toshio Endo (Tokyo Institute of Technology)
* Norihisa Fujita (University of Tsukuba)
* Ken-ichi Fukui (Osaka University)
* Takayasu Fushimi (Tokyo University of Technology)
* Jing Gong (KTH Royal Institute of Technology)
* Kohei Hatano (Kyushu University)
* Tsutomu Inamoto (Ehime University)
* Fumihiko Ino (Osaka University)
* Takashi Ishida (Tokyo Institute of Technology)
* Kyeong Soo Kim (Xi'an Jiaotong-Liverpool University)
* Atsushi Koike (National Institute of Technology, Ichinoseki College)
* Takeshi Morita (Keio University)
* Akira Naruse (NVIDIA)
* Takahiro Nishigaki (Aoyama Gakuin University)
* Yoshiaki Okubo (Hokkaido University)
* Tomonobu Ozaki (Nihon University)
* Max Plauth (Hasso Plattner Institute, University of Potsdam)
* Bisser Raytchev (Hiroshima University)
* Janche Sang (Cleveland State University)
* Hiroyuki Sato (The University of Tokyo)
* Takashi Shimokawabe (The University of Tokyo)
* Koichi Shirahata (FUJITSU LABORATORIES LTD.)
* Ryousei Takano (National Institute of Advanced Industrial Science and Technology (AIST))
* Toru Tamaki (Hiroshima University)
* Danilo V. Vargas (Kyushu University)
* Cheng Wang (University of Houston)
* Keiji Yanai (The University of Electro-Communications)
* Tetsuya Yoshida (Nara Women's University)
* TBA