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Nhut-Minh Ho

Interoperability in Blockchain: A Survey
2023 · Kunpeng Ren, Nhut-Minh Ho, et al. · IEEE Transactions on Knowledge and Data Engineering · 136
Exploiting half precision arithmetic in Nvidia GPUs
2017 · Nhut-Minh Ho, Weng-Fai Wong · IEEE High Performance Extreme Computing Conference · 72
Efficient floating point precision tuning for approximate computing
2017 · Nhut-Minh Ho, Elavarasi Manogaran, et al. · Asia and South Pacific Design Automation Conference (ASP-DAC) · 57
St-DRC: Stretchable DRAM Refresh Controller with No Parity-overhead Error Correction Scheme for Energy-efficient DNNs
2019 · Duy-Thanh Nguyen, Nhut-Minh Ho, et al. · ACM/IEEE Design Automation Conference (DAC) · 29
GRAM: A Framework for Dynamically Mixing Precisions in GPU Applications
2021 · Nhut-Minh Ho, Himeshi De silva, et al. · ACM Transactions on Architecture and Code Optimization · 20
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Posit Arithmetic for the Training and Deployment of Generative Adversarial Networks
2021 · Nhut-Minh Ho, Duy-Thanh Nguyen, et al. · Design, Automation, and Test in Europe · 19
Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips
2023 · Huaipeng Zhang, Nhut-Minh Ho, et al. · IEEE Transactions on Parallel and Distributed Systems · 13
ApproxSymate: path sensitive program approximation using symbolic execution
2019 · Himeshi De Silva, Andrew E. Santosa, et al. · ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES) · 11
Qtorch+: Next Generation Arithmetic for Pytorch Machine Learning
2022 · Nhut-Minh Ho, Himeshi De Silva, et al. · Lecture notes in computer science · 9
Tensorox: Accelerating GPU Applications via Neural Approximation on Unused Tensor Cores
2021 · Nhut-Minh Ho, Weng-Fai Wong · IEEE Transactions on Parallel and Distributed Systems · 9
ZEM: Zero-Cycle Bit-Masking Module for Deep Learning Refresh-Less DRAM
2021 · Duy-Thanh Nguyen, Nhut-Minh Ho, et al. · IEEE Access · 8
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Multi-objective Precision Optimization of Deep Neural Networks for Edge Devices
2019 · Nhut-Minh Ho, Ramesh Vaddi, et al. · Design, Automation, and Test in Europe · 8
Multi-agent simulation on multiple GPUs
2015 · N.M. Ho, N. Thoai, et al. · Simulation Modelling Practice and Theory · 7
Towards a Better 16-Bit Number Representation for Training Neural Networks
2023 · Himeshi De Silva, Hongshi Tan, et al. · Lecture notes in computer science · 5
OBET: On-the-Fly Byte-Level Error Tracking for Correcting and Detecting Faults in Unreliable DRAM Systems
2021 · Duy-Thanh Nguyen, Nhut-Minh Ho, et al. · Sensors · 3
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DRAMA: an approximate DRAM architecture for high-performance and energy-efficient deep training system
2020 · Duy-Thanh Nguyen, Chang-Hong Min, et al. · 2
Compilation and Other Software Techniques Enabling Approximate Computing
2018 · Weng-Fai Wong, Pooja Roy, et al. · Springer eBooks · 1
NB2P: Generating Data Science Pipelines from Computational Notebooks
2026 · Haotian Gao, Quang Trung Ta, et al. · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
Secure and Efficient Interledger Communication With Trusted Hardware
2026 · Kunpeng Ren, Nhut-Minh Ho, et al. · IEEE Transactions on Knowledge and Data Engineering
Bedot: Bit Efficient Dot Product for Deep Generative Models
2023 · Nhut-Minh Ho, Duy-Thanh Nguyen, et al. · Lecture notes in computer science
On the Performance of Cellular Networks with Adaptive Modulation and Energy Harvesting—A Stochastic Geometry Approach
2022 · Nhut-Minh Ho, Sang Quang Nguyen, et al. · Annals of Computer Science and Information Systems
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Works count: 21
Citation count: 409
H-index: 9
I10-index: 8
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