Nhut-Minh Ho

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 17

Top Topics

Symbolic Execution

Top Venues

IEEE Trans. Parallel Distributed Syst.

Publications

Nhut-Minh Ho, Duy Thanh Nguyen, John L. Gustafson, Weng-Fai Wong
Bedot: Bit Efficient Dot Product for Deep Generative Models. CoNGA (2023)
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)
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) (2023)
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) (2023)
Nhut-Minh Ho, Himeshi De Silva, John L. Gustafson, Weng-Fai Wong
Qtorch+: Next Generation Arithmetic for Pytorch Machine Learning. CoNGA (2022)
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)
Nhut-Minh Ho, Weng-Fai Wong
Tensorox: Accelerating GPU Applications via Neural Approximation on Unused Tensor Cores. IEEE Trans. Parallel Distributed Syst. 33 (2) (2022)
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)
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) (2021)
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 (2021)
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) (2021)
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)
Himeshi De Silva, Andrew E. Santosa, Nhut-Minh Ho, Weng-Fai Wong
ApproxSymate: path sensitive program approximation using symbolic execution. LCTES (2019)
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)
Nhut-Minh Ho, Ramesh Vaddi, Weng-Fai Wong
Multi-objective Precision Optimization of Deep Neural Networks for Edge Devices. DATE (2019)
Nhut-Minh Ho, Weng-Fai Wong
Exploiting half precision arithmetic in Nvidia GPUs. HPEC (2017)
Nhut-Minh Ho, Elavarasi Manogaran, Weng-Fai Wong, Asha Anoosheh
Efficient floating point precision tuning for approximate computing. ASP-DAC (2017)