Computer Architecture and Parallel Processing Lab
About the Laboratory & Research Area
Computer architecture and parallel processing (CAPP) Lab. has studied SoC development of signal processing such as H.264 / HEVC video codec, image recognition and other computer vision applications.
Further information about CAPP lab. are available on CAPP website.
Further information about CAPP lab. are available on CAPP website.
Research Interests & Projects
Research Interest
- SoC Design, Compute Architecture and Memory, Deep Learning based Image Processing
Main Research Project
- Processing-In-Memory based AI workload acceleration
- Memory intensive workload acceleration on CXL protocol
- AI accelerator design and modeling
- Multi-View Object Detection for unmanned store
- SoC Design, Compute Architecture and Memory, Deep Learning based Image Processing
Main Research Project
- Processing-In-Memory based AI workload acceleration
- Memory intensive workload acceleration on CXL protocol
- AI accelerator design and modeling
- Multi-View Object Detection for unmanned store
Journals & Patents
[1] D. T. Nguyen, T. N. Nguyen, H. Kim and H. -J. Lee, "A High-Throughput and Power-Efficient FPGA Implementation of YOLO CNN for Object Detection," in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 27, no. 8, pp. 1861-1873, Aug. 2019
[2] J. Choi, B. Kim, J. -Y. Jeon, H. -J. Lee, E. Lim and C. E. Rhee, "A Lightweight and Efficient GPU for NDP Utilizing Data Access Pattern of Image Processing," in IEEE Transactions on Computers, vol. 71, no. 1, pp. 13-26, 1 Jan. 2022
[2] J. Choi, B. Kim, J. -Y. Jeon, H. -J. Lee, E. Lim and C. E. Rhee, "A Lightweight and Efficient GPU for NDP Utilizing Data Access Pattern of Image Processing," in IEEE Transactions on Computers, vol. 71, no. 1, pp. 13-26, 1 Jan. 2022
