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Mickael Seznec
Mickael Seznec
在 nvidia.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Smoothquant: Accurate and efficient post-training quantization for large language models
G Xiao, J Lin, M Seznec, H Wu, J Demouth, S Han
International Conference on Machine Learning, 38087-38099, 2023
5092023
A study on convolution using half-precision floating-point numbers on GPU for radio astronomy deconvolution
M Seznec, N Gac, A Ferrari, F Orieux
2018 IEEE International Workshop on Signal Processing Systems (SiPS), 170-175, 2018
112018
Real-time optical flow processing on embedded GPU: an hardware-aware algorithm to implementation strategy
M Seznec, N Gac, F Orieux, AS Naik
Journal of Real-Time Image Processing 19 (2), 317-329, 2022
52022
Smoothquant: Accurate and efficient post-training quantization for large language models, 2022
G Xiao, J Lin, M Seznec, J Demouth, S Han
URL https://arxiv. org/abs/2211.10438, 0
5
Computing large 2D convolutions on GPU efficiently with the im2tensor algorithm
M Seznec, N Gac, F Orieux, A Sashala Naik
Journal of Real-Time Image Processing 19 (6), 1035-1047, 2022
42022
An efficiency-driven approach for real-time optical flow processing on parallel hardware
M Seznec, N Gac, F Orieux, AS Naik
2020 IEEE International Conference on Image Processing (ICIP), 3055-3059, 2020
22020
A new convolutions algorithm to leverage tensor cores
M Seznec, N Gac, F Orieux, AS Naik
GPU Technology Conference (GTC), 2020
22020
MobileFlow: modèle et mise en œuvre pour une inférence de flot optique efficace
M Seznec, A Archet, N Gac, F Orieux, AS Naik
GRETSI 2022-XXIIXème Colloque Francophone de Traitement du Signal et des Images, 2022
2022
From the algorithm to the targets, optimization flow for high performance computing on embedded GPUs
M Seznec
Université Paris-Saclay, 2021
2021
An OpenCL design for tomographic reconstruction on FPGA. Innovate Europe Design Contest Winners
M Martelli, M Seznec, N Heemeryck, N Gac
27th international conference on field programmable logic and applications, 2017
2017
MobileFlow: modèle et mise en œuvre pour une inférence de flot optique efficace
M Seznec, A Archet, N Gac, F Orieux, A Sashala
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