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 | 509 | 2023 |
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 | 11 | 2018 |
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 | 5 | 2022 |
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 | 4 | 2022 |
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 | 2 | 2020 |
A new convolutions algorithm to leverage tensor cores M Seznec, N Gac, F Orieux, AS Naik GPU Technology Conference (GTC), 2020 | 2 | 2020 |
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 | | |