GCA'20
The 5th International Workshop on GPU Computing and AI
To be held in conjunction with CANDAR'20.
Built for massive parallelism, General Purpose computing on Graphics Processing Unit (GPGPU) has superseded high-performance CPU in several important tasks, including computer graphics, physics calculations, encryption/decryption and scientific computations.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 topic of this workshop is not only “Both GPU and AI”, but also “Either GPU or AI.”)
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
Organizers
Workshop co-chairs
- Jacir L. Bordim (University of Brasilia)
- Yasuaki Ito (Hiroshima University)
Program Committee
- Toshio Endo (Tokyo Institute of Technology)
- 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)
- Takeshi Morita (Keio University)
- Akira Naruse (NVIDIA)
- 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)
- Janche Sang (Cleveland State University)
- Hiroyuki Sato (The University of Tokyo)
- Takashi Shimokawabe (The University of Tokyo)
- Koichi Shirahata (FUJITSU LABORATORIES LTD.)
- Ryousei Takano (National Institute of Advanced Industrial Science and Technology (AIST))
- Toru Tamaki (Hiroshima University)
- Danilo V. Vargas (Kyushu University)
- Keiji Yanai (The University of Electro-Communications)
- Tetsuya Yoshida (Nara Women's University)
- TBA
