Exploiting approximate computing for deep learning acceleration
- Chia-Yu Chen
- Jungwook Choi
- et al.
- 2018
- DATE 2018
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29 results for Jungwook Choi
ADaComP: Adaptive residual gradient compression for data-parallel distributed training
- Chia-Yu Chen
- Jungwook Choi
- et al.
- 2018
- AAAI 2018
POSTER: Design Space Exploration for Performance Optimization of Deep Neural Networks on Shared Memory Accelerators
- Swagath Venkataramani
- Jungwook Choi
- et al.
- 2017
- PACT 2017
Toward a pixel-parallel architecture for graph cuts inference on FPGA
- Tianqi Gao
- Jungwook Choi
- et al.
- 2017
- FPL 2017
INVITED: Accelerator Design for Deep Learning Training: Extended Abstract: Invited
- Ankur Agrawal
- Chia-Yu Chen
- et al.
- 2017
- DAC 2017
Energy-efficient simultaneous localization and mapping via compounded approximate computing
- Jinwook Oh
- Jungwook Choi
- et al.
- 2016
- SiPS 2016
Approximate computing: Challenges and opportunities
- Ankur Agrawal
- Jungwook Choi
- et al.
- 2016
- ICRC 2016
Configurable and scalable belief propagation accelerator for computer vision
- Jungwook Choi
- Rob Rutenbar
- 2016
- FPL 2016
Analysis of error resiliency of belief propagation in computer vision
- Jungwook Choi
- Ameya D. Patii
- et al.
- 2016
- ICASSP 2016