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An OpenCL design for tomographic reconstruction on FPGA. Innovate Europe Design Contest Winners
Maxime Martelli
,
Mickael Seznec
,
Nicolas Heemeryck
,
Nicolas Gac
27th international conference on field programmable logic and applications, Sep 2017, Ghent, Belgium. 2017
Poster communications
hal-01851828v1
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An efficiency-driven approach for real-time optical flow processing on parallel hardware
Mickael Seznec
,
Nicolas Gac
,
F. Orieux
,
A. Sashala Naik
IEEE International Conference on Image Processing, Oct 2020, Abu Dhabi, United Arab Emirates
Conference papers
hal-02604755v1
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Computing Large 2D Convolutions on GPU Efficiently with the im2tensor Algorithm
Mickael Seznec
,
Nicolas Gac
,
François Orieux
,
Alvin Sashala Naik
Journal articles
hal-03742005v1
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MobileFlow : modèle et mise en œuvre pour une inférence de flot optique efficace
Mickael Seznec
,
Agathe Archet
,
Nicolas Gac
,
François Orieux
,
Alvin Sashala Naik
et al.
28eme Colloque GRETSI Traitement du Signal & des Images, Sep 2022, Nancy, France
Conference papers
hal-03695558v2
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From the algorithm to the targets, optimization flow for high performance computing on embedded GPUs
Mickaël Seznec
Distributed, Parallel, and Cluster Computing [cs.DC]. Université Paris-Saclay, 2021. English. ⟨NNT : 2021UPASG074⟩
Theses
tel-03836248v1
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A new convolutions algorithm to leverage tensor cores
Mickael Seznec
,
Nicolas Gac
,
F. Orieux
,
A. Sashala Naik
GPU Technology Conference (GTC), May 2020, Silicon Valley, United States
Poster communications
hal-02605077v1
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Real-Time Optical Flow Processing on Embedded GPU: a Hardware-Aware Algorithm to Implementation Strategy
Mickaël Seznec
,
Nicolas Gac
,
François Orieux
,
Alvin Sashala Naik
Journal articles
hal-03457011v1
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A Study on Convolution Operator Using Half Precision Floating Point Numbers on GPU for Radioastronomy Deconvolution
Mickael Seznec
,
Nicolas Gac
,
André Ferrari
,
François Orieux
Conference papers
hal-01837982v1
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