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GCA 2023 : The Eighth International Workshop on GPU Computing and AI

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Link: https://is-candar.org/GCA23/
 
When Nov 28, 2023 - Dec 1, 2023
Where Matsue, Japan
Abstract Registration Due Aug 30, 2023
Submission Deadline Sep 4, 2023
Notification Due Sep 26, 2023
Final Version Due Oct 16, 2023
Categories    GPGPU   gpu   AI   machine learning
 

Call For Papers

====================================================
GCA'23: https://is-candar.org/GCA23/

The Eighth International Workshop on GPU Computing and AI (GCA)
https://is-candar.org/GCA23/

to be held in conjunction with

The Eleventh International Symposium on Computing and Networking (CANDAR'23),
Matsue, Shimane, Japan, November 28 to December 1, 2023

https://is-candar.org/
====================================================

[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Processing Unit (GPGPU) has superseded high-performance CPU in several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: August 30, 2023 (extended, firm)
* Paper submission due: September 4, 2023 (extended, firm)
* Paper notification: September 26, 2023
* Final camera-ready paper submission due: October 16, 2023
* Workshop: November 28 to December 1, 2023

[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)
* Tingxing Dong (Radeon Technologies Group, AMD.)
* Toshio Endo (Tokyo Institute of Technology)
* Marcos Fagundes Caetano (University of Brasília)
* Ken-ichi Fukui (Osaka University)
* Jing Gong (KTH Royal Institute of Technology)
* Kohei Hatano (Kyushu University)
* Takumi Honda (Fujitsu Limited)
* Tsutomu Inamoto (Ehime University)
* Humayun Kabir (Microsoft)
* Krzysztof Kaczmarski (Warsaw University of Technology)
* Kyeong Soo Kim (Xi'an Jiaotong-Liverpool University)
* Kazuhiko Komatsu (Tohoku University)
* Daniel Sundfeld Lima (University of Brasília)
* Takahiro Nishigaki (Takushoku University )
* Tomonobu Ozaki (Nihon University)
* Hiroyuki Sato (The University of Tokyo)
* Kazem Shekofteh (Heidelberg University)
* Takashi Shimokawabe (The University of Tokyo)
* Koichi Shirahata (Fujitsu Limited)
* Ryousei Takano (National Institute of Advanced Industrial Science and Technology (AIST))
* Nobuhiko Yamaguchi (Saga University)
* Tetsuya Yoshida (Nara Women's University)

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