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■ Research Goals
◦ Development of distributed parallel framework for high-speed processing of large-scale real-time image based on deep learning
■ Research contents
◦ Distributed parallel execution applications on multiple machines
◦ Simultaneous fine-grained and coarse-grained operations with virtualization of secondary processors such as GPU and XeonPhi for high-speed execution of large-scale vector and matrix operations
■ Research Goals
◦ Developing techniques and software for high-speed parallel processing on GPU or Multicore-based computers
■ Research contents
◦ 3D object tracking and AR matching based on distributed parallel environment
- GPU and Multicore based 3D object tracking
- Solution for realistically matching C input image and virtual object
■ Research Goals
◦ Development of the distributed parallel framework for processing large scale deep learning model
■ Research Contents
◦ Distributed Parallel Processing Model for large scale deep learning processing
◦ Run-time system Techniques for large scale deep learning processing
■ Research Goals
◦ The Next Generation Distributed Parallel Processing Cloud Platform (PaaS) Layer Core Technology Study
for supporting rapid and easy development of various social media services
■ Research content
◦ Agent-based large-scale distributed parallel processing Cloud platform structure study
- Cloud-based distributed parallel data processing platform technology
-Cloud Infrastructure Management Platform Technology
고려대학교 분산슈퍼컴퓨팅연구실 서울특별시 성북구 안암로 145, 고려대학교 자연계캠퍼스 공과대학 신공학관 509호
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