Nguyen Homepage

Publications:

• 2023

  1. Duy-Thanh Nguyen, Abhiroop Bhattacharjee, Abhishek Moitra and Priyadarshini Panda, "DeepCAM: A fully CAM-based inference accelerator with variable hash lengths for energy-efficient deep neural networks", Design, Automation and Test in Europe Conference, Antwerp, Belgium, April 17-19, 2023 (DATE 2023)

  2. Nhut-Minh Ho, Duy-Thanh Nguyen, John L. Gustafson, Weng-Fai Wong, "Bedot: Bit Efficient Dot Product for Deep Generative Models", Conference on Next Generation Arithmetic, Singapore, February 27-28, 2023 (CoNGA 2023)

• 2021

  1. Nhut-Minh Ho, Duy-Thanh Nguyen, Himeshi De Silva, John L. Gustafson, Weng-Fai Wong, and Ik-Joon Chang, "Posit Arithmetic for the Training and Deployment of Generative Adversarial Networks", Design, Automation and Test in Europe Conference, Virtual Conference, February 1-5, 2021 (DATE 2021) (link)(slide)

  2. Duy-Thanh Nguyen, Nhut-Minh Ho, Minh-Son Le, Weng-Fai Wong, and Ik-Joon Chang, "ZEM:  Zero-cycle bit-masking module for deep learning refresh-less DRAM", IEEE Access (2021) and Work-In-Progress at 58th Design Automation Conference, San Francisco, Dec 5-9, 2021 (DAC-WIP 2021) (link)(poster)

  3. Duy-Thanh Nguyen, Nhut-Minh Ho, Weng-Fai Wong, and Ik-Joon Chang, "OBET: On-the-Fly Byte-Level Error Tracking for Correcting and Detecting Faults in Unreliable DRAM Systems", Sensors (2021) (link) and Google Research Paper Rewards 2023 for security-critical

  4. Duy-Thanh Nguyen, Nhut-Minh Ho, and Ik-Joon Chang, “Soft-refresh: Targeted refresh for energy-efficient dram systems via software and operating systems support”, in the International Symposium on Memory Systems, September 27-30, 2021 (MEMSYS 2021) (link).

• 2020

  1. Boyeal Kim, SangHyun Lee, Hyun Kim, Duy-Thanh Nguyen, Minh-Son Le, Ik-Joon Chang, Dohun Kwon, Jin Hyeok Yoo, Jun Won Choi, and Hyuk-Jae Lee, "PCM: Precision-Controlled Memory System for Energy Efficient Deep Neural Network Training", Design, Automation and Test in Europe Conference, Grenoble, France, March 9-13, 2020 (DATE 2020) (link)(slide)

  2. Duy-Thanh Nguyen, Chang-Hong Min, Nhut-Minh Ho, and Ik-Joon Chang, "DRAMA: An Approximate DRAM Architecture for High-performance and Energy-efficient Deep Training System", 39th IEEE/ACM International Conference on Computer-Aided Design, San Diego, Nov 2-5, 2020 (ICCAD 2020) (link)(slide)

• 2019

  1. Duy-Thanh Nguyen, Nhut-Minh Ho, and Ik-Joon Chang. “St-DRC: Stretchable DRAM Refresh Controller with No Parity-overhead Error Correction Scheme for Energy-efficient DNNs”, 56th Design Automation Conference, Las Vegas, Jun 2-6, 2019 (DAC 2019) (link)(slide)