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ORCIDNhut-Minh Ho
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- affiliation: National University of Singapore, Singapore
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2020 – today
- 2023
[j6]Kunpeng Ren
, Nhut-Minh Ho, Dumitrel Loghin, Thanh-Toan Nguyen, Beng Chin Ooi, Quang-Trung Ta, Feida Zhu:
Interoperability in Blockchain: A Survey. IEEE Trans. Knowl. Data Eng. 35(12): 12750-12769 (2023)- [j5]Huaipeng Zhang, Nhut-Minh Ho, Dogukan Yigit Polat, Peng Chen, Mohamed Wahib, Truong Thao Nguyen, Jintao Meng, Rick Siow Mong Goh, Satoshi Matsuoka, Tao Luo, Weng-Fai Wong:
Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips. IEEE Trans. Parallel Distributed Syst. 34(10): 2767-2782 (2023) - [c11]Nhut-Minh Ho, Duy Thanh Nguyen, John L. Gustafson, Weng-Fai Wong:
Bedot: Bit Efficient Dot Product for Deep Generative Models. CoNGA 2023: 19-37 - [c10]Himeshi De Silva, Hongshi Tan, Nhut-Minh Ho, John L. Gustafson, Weng-Fai Wong:
Towards a Better 16-Bit Number Representation for Training Neural Networks. CoNGA 2023: 114-133 - 2022
- [j4]Nhut-Minh Ho, Weng-Fai Wong:
Tensorox: Accelerating GPU Applications via Neural Approximation on Unused Tensor Cores. IEEE Trans. Parallel Distributed Syst. 33(2): 429-443 (2022) - [c9]Nhut-Minh Ho, Himeshi De Silva, John L. Gustafson, Weng-Fai Wong:
Qtorch+: Next Generation Arithmetic for Pytorch Machine Learning. CoNGA 2022: 31-49 - [c8]Nhut-Minh Ho, Sang Quang Nguyen, Thanh-Toan Phan, Lam-Thanh Tu:
On the Performance of Cellular Networks with Adaptive Modulation and Energy Harvesting - A Stochastic Geometry Approach. RICE 2022: 115-120 - 2021
- [j3]Duy Thanh Nguyen, Nhut-Minh Ho, Minh-Son Le, Weng-Fai Wong, Ik-Joon Chang:
ZEM: Zero-Cycle Bit-Masking Module for Deep Learning Refresh-Less DRAM. IEEE Access 9: 93723-93733 (2021) - [j2]Duy Thanh Nguyen, Nhut-Minh Ho, Weng-Fai Wong, Ik-Joon Chang:
OBET: On-the-Fly Byte-Level Error Tracking for Correcting and Detecting Faults in Unreliable DRAM Systems. Sensors 21(24): 8271 (2021) - [j1]Nhut-Minh Ho, Himeshi De Silva, Weng-Fai Wong:
GRAM: A Framework for Dynamically Mixing Precisions in GPU Applications. ACM Trans. Archit. Code Optim. 18(2): 19:1-19:24 (2021) - [c7]Nhut-Minh Ho, Duy Thanh Nguyen, Himeshi De Silva, John L. Gustafson, Weng-Fai Wong, Ik Joon Chang:
Posit Arithmetic for the Training and Deployment of Generative Adversarial Networks. DATE 2021: 1350-1355 - 2020
- [c6]Duy Thanh Nguyen, Changhong Min, Nhut-Minh Ho, Ik-Joon Chang:
DRAMA: An Approximate DRAM Architecture for High-performance and Energy-efficient Deep Training System. ICCAD 2020: 47:1-47:8
2010 – 2019
- 2019
- [c5]Duy Thanh Nguyen, Nhut-Minh Ho, Ik-Joon Chang:
St-DRC: Stretchable DRAM Refresh Controller with No Parity-overhead Error Correction Scheme for Energy-efficient DNNs. DAC 2019: 205 - [c4]Nhut-Minh Ho, Ramesh Vaddi, Weng-Fai Wong:
Multi-objective Precision Optimization of Deep Neural Networks for Edge Devices. DATE 2019: 1100-1105 - [c3]Himeshi De Silva, Andrew E. Santosa, Nhut-Minh Ho, Weng-Fai Wong:
ApproxSymate: path sensitive program approximation using symbolic execution. LCTES 2019: 148-162 - [p1]Weng-Fai Wong, Pooja Roy, Rajashi Ray, Nhut-Minh Ho:
Compilation and Other Software Techniques Enabling Approximate Computing. Approximate Circuits 2019: 443-463 - 2017
- [c2]Nhut-Minh Ho, Elavarasi Manogaran, Weng-Fai Wong, Asha Anoosheh:
Efficient floating point precision tuning for approximate computing. ASP-DAC 2017: 63-68 - [c1]Nhut-Minh Ho, Weng-Fai Wong:
Exploiting half precision arithmetic in Nvidia GPUs. HPEC 2017: 1-7
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