Nhut-Minh Ho

19 papers A* 1A 3B 1Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Secure and Efficient Interledger Communication With Trusted Hardware.
IEEE Trans. Knowl. Data Eng.
Kunpeng Ren, Nhut-Minh Ho, Tien Tuan Anh Dinh, Dumitrel Loghin, Shizheng Hou
2023 — conf
Bedot: Bit Efficient Dot Product for Deep Generative Models.
CoNGA
Nhut-Minh Ho, Duy Thanh Nguyen, John L. Gustafson, Weng-Fai Wong
2023 J jnl
Interoperability in Blockchain: A Survey.
IEEE Trans. Knowl. Data Eng.
Kunpeng Ren, Nhut-Minh Ho, Dumitrel Loghin, Thanh-Toan Nguyen, Beng Chin Ooi, Quang-Trung Ta, Feida Zhu
2023 J jnl
Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips.
IEEE Trans. Parallel Distributed Syst.
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
2023 — conf
Towards a Better 16-Bit Number Representation for Training Neural Networks.
CoNGA
Himeshi De Silva, Hongshi Tan, Nhut-Minh Ho, John L. Gustafson, Weng-Fai Wong
2022 — conf
On the Performance of Cellular Networks with Adaptive Modulation and Energy Harvesting - A Stochastic Geometry Approach.
RICE
Nhut-Minh Ho, Sang Quang Nguyen, Thanh-Toan Phan, Lam-Thanh Tu
2022 — conf
Qtorch+: Next Generation Arithmetic for Pytorch Machine Learning.
CoNGA
Nhut-Minh Ho, Himeshi De Silva, John L. Gustafson, Weng-Fai Wong
2022 J jnl
Tensorox: Accelerating GPU Applications via Neural Approximation on Unused Tensor Cores.
IEEE Trans. Parallel Distributed Syst.
Nhut-Minh Ho, Weng-Fai Wong
2021 J jnl
GRAM: A Framework for Dynamically Mixing Precisions in GPU Applications.
ACM Trans. Archit. Code Optim.
Nhut-Minh Ho, Himeshi De Silva, Weng-Fai Wong
2021 J jnl
OBET: On-the-Fly Byte-Level Error Tracking for Correcting and Detecting Faults in Unreliable DRAM Systems.
Sensors
Duy Thanh Nguyen, Nhut-Minh Ho, Weng-Fai Wong, Ik-Joon Chang
2021 A conf
Posit Arithmetic for the Training and Deployment of Generative Adversarial Networks.
DATE
Nhut-Minh Ho, Duy Thanh Nguyen, Himeshi De Silva, John L. Gustafson, Weng-Fai Wong, Ik Joon Chang
2021 J jnl
ZEM: Zero-Cycle Bit-Masking Module for Deep Learning Refresh-Less DRAM.
IEEE Access
Duy Thanh Nguyen, Nhut-Minh Ho, Minh-Son Le, Weng-Fai Wong, Ik-Joon Chang
2020 A conf
DRAMA: An Approximate DRAM Architecture for High-performance and Energy-efficient Deep Training System.
ICCAD
Duy Thanh Nguyen, Changhong Min, Nhut-Minh Ho, Ik-Joon Chang
2019 B conf
ApproxSymate: path sensitive program approximation using symbolic execution.
LCTES
Himeshi De Silva, Andrew E. Santosa, Nhut-Minh Ho, Weng-Fai Wong
2019 — ch.
Compilation and Other Software Techniques Enabling Approximate Computing.
Approximate Circuits
Weng-Fai Wong, Pooja Roy, Rajashi Ray, Nhut-Minh Ho
2019 A conf
Multi-objective Precision Optimization of Deep Neural Networks for Edge Devices.
DATE
Nhut-Minh Ho, Ramesh Vaddi, Weng-Fai Wong
2019 A* conf
St-DRC: Stretchable DRAM Refresh Controller with No Parity-overhead Error Correction Scheme for Energy-efficient DNNs.
DAC
Duy Thanh Nguyen, Nhut-Minh Ho, Ik-Joon Chang
2017 — conf
Efficient floating point precision tuning for approximate computing.
ASP-DAC
Nhut-Minh Ho, Elavarasi Manogaran, Weng-Fai Wong, Asha Anoosheh
2017 — conf
Exploiting half precision arithmetic in Nvidia GPUs.
HPEC
Nhut-Minh Ho, Weng-Fai Wong