Nhut-Minh Ho

Orcid: 0000-0002-3864-8027

Affiliations:
  • National University of Singapore, Singapore


According to our database1, Nhut-Minh Ho authored at least 18 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Interoperability in Blockchain: A Survey.
IEEE Trans. Knowl. Data Eng., December, 2023

Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips.
IEEE Trans. Parallel Distributed Syst., October, 2023

Towards a Better 16-Bit Number Representation for Training Neural Networks.
Proceedings of the Next Generation Arithmetic - 4th International Conference, 2023

Bedot: Bit Efficient Dot Product for Deep Generative Models.
Proceedings of the Next Generation Arithmetic - 4th International Conference, 2023

2022
Tensorox: Accelerating GPU Applications via Neural Approximation on Unused Tensor Cores.
IEEE Trans. Parallel Distributed Syst., 2022

On the Performance of Cellular Networks with Adaptive Modulation and Energy Harvesting - A Stochastic Geometry Approach.
Proceedings of the Seventh International Conference on Research in Intelligent and Computing in Engineering, 2022

Qtorch+: Next Generation Arithmetic for Pytorch Machine Learning.
Proceedings of the Next Generation Arithmetic - Third International Conference, 2022

2021
GRAM: A Framework for Dynamically Mixing Precisions in GPU Applications.
ACM Trans. Archit. Code Optim., 2021

OBET: On-the-Fly Byte-Level Error Tracking for Correcting and Detecting Faults in Unreliable DRAM Systems.
Sensors, 2021

ZEM: Zero-Cycle Bit-Masking Module for Deep Learning Refresh-Less DRAM.
IEEE Access, 2021

Posit Arithmetic for the Training and Deployment of Generative Adversarial Networks.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020
DRAMA: An Approximate DRAM Architecture for High-performance and Energy-efficient Deep Training System.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

2019
ApproxSymate: path sensitive program approximation using symbolic execution.
Proceedings of the 20th ACM SIGPLAN/SIGBED International Conference on Languages, 2019

Multi-objective Precision Optimization of Deep Neural Networks for Edge Devices.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

St-DRC: Stretchable DRAM Refresh Controller with No Parity-overhead Error Correction Scheme for Energy-efficient DNNs.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Compilation and Other Software Techniques Enabling Approximate Computing.
Proceedings of the Approximate Circuits, Methodologies and CAD., 2019

2017
Exploiting half precision arithmetic in Nvidia GPUs.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Efficient floating point precision tuning for approximate computing.
Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017


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