posted by organizer: yasuakiito || 2649 views || tracked by 3 users: [display]

GCA 2021 : The Sixth International Workshop on GPU Computing and AI

FacebookTwitterLinkedInGoogle

Link: https://is-candar.org/GCA21/
 
When Nov 23, 2021 - Nov 26, 2021
Where Matsue, Japan
Abstract Registration Due Sep 10, 2021
Submission Deadline Sep 15, 2021
Notification Due Oct 6, 2021
Final Version Due Oct 18, 2021
Categories    GPGPU   gpu   AI   machine learning
 

Call For Papers

CFP: GCA'21@CANDAR'21 (Abstract Due: August 27, extended)


====================================================
GCA'21: https://is-candar.org/GCA21/

The Sixth International Workshop on GPU Computing and AI (GCA)
https://is-candar.org/GCA21/

to be held in conjunction with

The Ninth International Symposium on Computing and Networking (CANDAR'21),
Matsue, Shimane, Japan, November 23-26, 2021

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

[Special announcement regarding COVID-19 situation]
- Although we are still working with the possibility of having
physical meetings for CANDAR 2021 as planned, the pandemic
situation may not allow it. In case physical meeting is not
possible, we will have online meetings (details will be
announced later);
- Regardless of physical or virtual meeting, we will provide
the opportunity to present the paper online for those not
able travel to Matsue 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 or virtual meeting, all accepted
papers will be published by Conference Publishing Services
(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Processing Unit (GPGPU) has superseded high-performance CPU in several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 27, 2021 (extended)
* Paper submission due: September 1, 2021 (extended)
* Paper notification: October 1, 2021
* Final camera-ready paper submission due: October 18, 2021
* Workshop: November 23-26, 2021

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

[Program Committee]
* Hidetoshi Ando (University of Yamanashi)
* Wei Der Chien (KTH Royal Institute of Technology)
* Toshio Endo (Tokyo Institute of Technology)
* Marcos Fagundes Caetano (University of Brasília)
* 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)
* Kazuhiko Komatsu (Tohoku University)
* Marcus Vinicius Lamar (University of Brasilia)
* 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)
* 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

Related Resources

GCA 2022   The Seventh International Workshop on GPU Computing and AI
MLDM 2023   18th International Conference on Machine Learning and Data Mining
AI-DH 2022   MDPI Big Data and Cognitive Computing - Special Issue on Artificial Intelligence in Digital Humanities
IJCNN 2023   International Joint Conference on Neural Networks
ITCFEC 2023   Special Issue for Submission: Internet of Things and Cloud-Fog-Edge Computing
FLAIRS 2023   FLAIRS-36 2023 : The 36th International FLAIRS Conference
PAKDD 2023   The 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining
SEKE 2023   The 35th International Conference on Software Engineering and Knowledge Engineering
CFDSP 2023   2023 International Conference on Frontiers of Digital Signal Processing (CFDSP 2023)
MobiCom 2023   The 29th Annual International Conference On Mobile Computing And Networking (Winter Deadline)