GCA 2018 - 3rd International Workshop on GPU Computing and AI
Date2018-11-27 - 2018-11-30
Deadline2018-07-15
VenueTakayama, Japan
Keywords
Websitehttps://is-candar.org/gca18
Topics/Call fo Papers
Built for massive parallelism, General Purpose computing on Graphics Processing Unit (GPGPU) has superseded high-performance CPU in several important tasks, including computer graphics, physics calculations, encryption/decryption and scientific computations.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 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
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
Other CFPs
- 6th International Workshop on Computer Systems and Architectures
- 11th International Workshop on Autonomous Self-Organizing Networks
- 6th International Workshop on Applications and Fundamentals of Cellular Automata
- Sixth International Symposium on Computing and Networking
- 8th Int. Workshop on Model-Driven Requirements Engineering (MoDRE)
Last modified: 2018-04-10 21:56:46