The Fourth International Workshop on GPU Computing and AI
GCA 2019
- URL: https://is-candar.org/GCA19/
- Event Date: 2019-11-26 ~ 2019-11-29
- Abstract Submission Date: 2019-08-05
- Submission Date: 2019-08-10
- Location: Nagasaki, Japan
====================================================
GCA'19: https://is-candar.org/GCA19/
The Fourth International Workshop on GPU Computing and AI (GCA)
https://is-candar.org/GCA19/
to be held in conjunction with
The Seventh International Symposium on Computing and Networking (CANDAR'19),
Nagasaki, Japan, November 26-29, 2019
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Processing Unit (GPGPU) has superseded high-performance CPU in several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 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 5, 2019
* Paper submission due: August 10, 2019
* Paper notification: October 1, 2019
* Final camera-ready paper submission due: October 18, 2019
* Workshop: November 26-29, 2019
[Organizers]
* Workshop co-chairs
- Jacir L. Bordim (University of Brasilia)
- Yasuaki Ito (Hiroshima University)
[Program Committee]
* Toshio Endo (Tokyo Institute of Technology)
* 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)
* Keisuke Iwai (National Defense Academy)
* Kyeong Soo Kim (Xi'an Jiaotong-Liverpool University)
* Atsushi Koike (National Institute of Technology, Ichinoseki College)
* Takio Kurita (Hiroshima University)
* Marcus Vinicius Lamar (Universidade de BrasÃlia)
* Marcelo Mandelli (Universidade de BrasÃlia)
* Takeshi Morita (Keio University)
* Daichi Mukunoki (RIKEN Advanced Institute for Computational Science)
* Akira Naruse (NVIDIA)
* Takahiro Nishigaki (Aoyama Gakuin University)
* Anto Satriyo Nugroho (BPPT)
* 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)
* Yuichiro Shibata (Nagasaki University)
* Takashi Shimokawabe (The University of Tokyo)
* Koichi Shirahata (FUJITSU LABORATORIES LTD.)
* Tomah Sogabe (The University of Electro-Communications)
* Daisuke Takahashi (University of Tsukuba)
* 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
GCA'19: https://is-candar.org/GCA19/
The Fourth International Workshop on GPU Computing and AI (GCA)
https://is-candar.org/GCA19/
to be held in conjunction with
The Seventh International Symposium on Computing and Networking (CANDAR'19),
Nagasaki, Japan, November 26-29, 2019
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 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 5, 2019
* Paper submission due: August 10, 2019
* Paper notification: October 1, 2019
* Final camera-ready paper submission due: October 18, 2019
* Workshop: November 26-29, 2019
[Organizers]
* Workshop co-chairs
- Jacir L. Bordim (University of Brasilia)
- Yasuaki Ito (Hiroshima University)
[Program Committee]
* Toshio Endo (Tokyo Institute of Technology)
* 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)
* Keisuke Iwai (National Defense Academy)
* Kyeong Soo Kim (Xi'an Jiaotong-Liverpool University)
* Atsushi Koike (National Institute of Technology, Ichinoseki College)
* Takio Kurita (Hiroshima University)
* Marcus Vinicius Lamar (Universidade de BrasÃlia)
* Marcelo Mandelli (Universidade de BrasÃlia)
* Takeshi Morita (Keio University)
* Daichi Mukunoki (RIKEN Advanced Institute for Computational Science)
* Akira Naruse (NVIDIA)
* Takahiro Nishigaki (Aoyama Gakuin University)
* Anto Satriyo Nugroho (BPPT)
* 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)
* Yuichiro Shibata (Nagasaki University)
* Takashi Shimokawabe (The University of Tokyo)
* Koichi Shirahata (FUJITSU LABORATORIES LTD.)
* Tomah Sogabe (The University of Electro-Communications)
* Daisuke Takahashi (University of Tsukuba)
* 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
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