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GCA 2018 : The Third International Workshop on GPU Computing and AI

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Link: http://is-candar.org/GCA18/
 
When Nov 27, 2018 - Nov 30, 2018
Where Hida Takayama, Japan
Abstract Registration Due Aug 10, 2018
Submission Deadline Aug 15, 2018
Notification Due Oct 1, 2018
Final Version Due Oct 18, 2018
Categories    gpu   GPGPU   AI   deep learning
 

Call For Papers

====================================================
GCA'18: http://is-candar.org/GCA18/

The Third International Workshop on GPU Computing and AI (GCA)
http://is-candar.org/GCA18/

to be held in conjunction with

The Sixth International Symposium on Computing and Networking (CANDAR'18),
Hida Takayama, Japan, November 27-30, 2018

http://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Processing Unit (GPGPU) has superseded high-performance CPU in several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.

[Special Issue]
A Special Issue, on selected papers from CANDAR'18 main conference and
Workshops, is planned. Please see Special Issue for the details.
http://is-candar.org/special_issue

[Important dates]
* Abstract submission: August 10, 2018
* Paper submission: August 15, 2018
* Notification of paper acceptance: October 1, 2018
* Submission of camera-ready papers: October 18, 2018

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

[Program Committee]
* Masaki Aono (Toyohashi University of Technology)
* Toshio Endo (Tokyo Institute of Technology)
* Ken-ichi Fukui (Osaka University)
* Jing Gong (KTH Royal Institute of Technology)
* Kohei Hatano (Kyushu University)
* Hideitsu Hino (The Institute of Statistical Mathematics)
* Tsutomu Inamoto (Ehime University)
* Fumihiko Ino (Osaka University)
* Takashi Ishida (Tokyo Institute of Technology)
* Keisuke Iwai (National Defense Academy)
* Yoshinobu Kawahara (Osaka University)
* Atsushi Koike (National Institute of Technology, Ichinoseki College)
* Marcus Vinicius Lamar (Universidade de Brasília)
* Marcelo Mandelli (Universidade de Brasília)
* Daichi Mukunoki (RIKEN Advanced Institute for Computational Science)
* Akira Naruse (NVIDIA)
* Anto Satriyo Nugroho (BPPT)
* Satoshi Ohshima (Kyushu University)
* Max Plauth (Hasso Plattner Institute, University of Potsdam)
* Janche Sang (Cleveland State University)
* Hiroyuki Sato (The University of Tokyo)
* Bertil Schmidt (University of Mainz)
* 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)
* Tomoaki Tsumura (Nagoya Institute of Technology)
* Cristina Vasconcelos (UFF)
* Cheng Wang (University of Houston)
* Keiji Yamanaka (Universidade Federal de Uberlândia)
* Keiji Yanai (The University of Electro-Communications)
* TBA

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