Mickaël Seznec

Orcid: 0000-0002-6012-8685

According to our database1, Mickaël Seznec authored at least 7 papers between 2018 and 2023.

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

Timeline

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Links

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Bibliography

2023
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models.
Proceedings of the International Conference on Machine Learning, 2023

2022
Computing large 2D convolutions on GPU efficiently with the im2tensor algorithm.
J. Real Time Image Process., 2022

Real-time optical flow processing on embedded GPU: an hardware-aware algorithm to implementation strategy.
J. Real Time Image Process., 2022

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models.
CoRR, 2022

2021
From the algorithm to the targets, optimization flow for high performance computing on embedded GPUs. (De l'algorithme à l'implémentation, flot d'optimisations pour le calcul haute performance sur GPU embarqués).
PhD thesis, 2021

2020
An Efficiency-Driven Approach For Real-Time Optical Flow Processing On Parallel Hardware.
Proceedings of the IEEE International Conference on Image Processing, 2020

2018
A Study on Convolution using Half-Precision Floating-Point Numbers on GPU for Radio Astronomy Deconvolution.
Proceedings of the 2018 IEEE International Workshop on Signal Processing Systems, 2018


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