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GCA'22: https://is-candar.org/GCA22/

The Seventh International Workshop on GPU Computing and AI (GCA)
https://is-candar.org/GCA22/

to be held in conjunction with

The Tenth International Symposium on Computing and Networking (CANDAR'22),
Himeji, Hyogo, Japan, November 21-24, 2022

https://is-candar.org/
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[Special announcement regarding COVID-19 situation]
- We are working with the possibility of having a physical/hybrid/virtual meeting.
- Regardless of physical/hybrid/virtual meeting, we will provide the opportunity to present the paper online for those not able to travel to Himeji for any reason. The details of online presentation will be informed later.
- The review process will be conducted as in previous editions.
- Regardless of physical/hybrid/virtual meeting, all accepted papers will be published on IEEE CPS as in 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Processing Unit (GPGPU) has superseded high-performance CPU in several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 sharing 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: September 5, 2022 (extended, firm)
* Paper submission due: September 10, 2022 (extended, firm)
* Paper notification: October 1, 2022
* Final camera-ready paper submission due: October 21, 2022
* Workshop: November 21-24, 2022

[Organizers]
* Workshop co-chairs
- Jacir L. Bordim (University of Brasilia)
- Yasuaki Ito (Hiroshima University)

[Program Committee]
* Ulisses Rodrigues Afonseca (Federal Institute of Goiás-Brazil)
* Eduardo Adilio Pelinson Alchieri (University of Brasília)
* Hidetoshi Ando (University of Yamanashi)
* Wei Der Chien (KTH Royal Institute of Technology)
* Lucas Rodrigues Costa (University of Brasília)
* Toshio Endo (Tokyo Institute of Technology)
* Marcos Fagundes Caetano (University of Brasília)
* 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)
* Kyeong Soo Kim (Xi'an Jiaotong-Liverpool University)
* Atsushi Koike (National Institute of Technology, Ichinoseki College)
* Kazuhiko Komatsu (Tohoku University)
* Takahiro Nishigaki (Aoyama Gakuin University)
* Yoshiaki Okubo (Hokkaido University)
* Tomonobu Ozaki (Nihon University)
* Max Plauth (Hasso Plattner Institute, University of Potsdam)
* Hiroyuki Sato (The University of Tokyo)
* Takashi Shimokawabe (The University of Tokyo)
* Koichi Shirahata (FUJITSU LABORATORIES LTD.)
* Nobuhiko Yamaguchi (Saga University)
* Tetsuya Yoshida (Nara Women's University)
* TBA