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15 résultats
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triés par
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A Lattice Basis Reduction Approach for the Design of Finite Wordlength FIR FiltersIEEE Transactions on Signal Processing, 2018, 66 (10), pp.2673-2684. ⟨10.1109/TSP.2018.2812739⟩
Article dans une revue
hal-01308801v3
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A robust and scalable implementation of the Parks-McClellan algorithm for designing FIR filtersACM Transactions on Mathematical Software, 2016, 43 (1), pp.7:1 - 7:24
Article dans une revue
hal-01136005v5
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Table-Based versus Shift-And-Add constant multipliers for FPGAsARITH 2019 - 26th IEEE Symposium on Computer Arithmetic, Jun 2019, Kyoto, Japan. pp.1-8
Communication dans un congrès
hal-02147078v1
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Rational Minimax Approximation via Adaptive Barycentric RepresentationsSIAM Journal on Scientific Computing, 2018, 40 (4), pp.A2427-A2455
Article dans une revue
hal-01942974v1
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Automatic generation of hardware FIR filters from a frequency domain specification2017
Pré-publication, Document de travail
hal-01308377v2
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Robust tools for weighted Chebyshev approximation and applications to digital filter designSignal and Image Processing. Université de Lyon, 2016. English. ⟨NNT : 2016LYSEN063⟩
Thèse
tel-01447081v1
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MPTorch and MPArchimedes: Open Source Frameworks to Explore Custom Mixed- Precision Operations for DNN Training on Edge DevicesROAD4NN 2021 - 2nd ROAD4NN Workshop: Research Open Automatic Design for Neural Networks, Dec 2021, San Francisco, United States
Communication dans un congrès
hal-03494256v1
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A High Throughput Polynomial and Rational Function Approximations EvaluatorARITH 2018 - 25th IEEE Symposium on Computer Arithmetic, Jun 2018, Amherst, MA, United States. pp.99-106, ⟨10.1109/ARITH.2018.8464778⟩
Communication dans un congrès
hal-01774364v1
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AdaQAT: Adaptive Bit-Width Quantization-Aware Training2024
Pré-publication, Document de travail
hal-04549245v1
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Mixing Low-Precision Formats in Multiply-Accumulate Units for DNN TrainingFPT 2022 - IEEE International Conference on Field Programmable Technology, Dec 2022, Hong Kong, Hong Kong SAR China. pp.1-9
Communication dans un congrès
hal-03885471v1
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Smooth random functions, random ODEs, and Gaussian processesSIAM Review, 2019, 61 (1), pp.185-205. ⟨10.1137/17M1161853⟩
Article dans une revue
hal-01944992v1
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Approximations in Deep LearningApproximate Computing Techniques - From Component- to Application-Level, pp.467-512, 2022, 978-3-030-94704-0. ⟨10.1007/978-3-030-94705-7_15⟩
Chapitre d'ouvrage
hal-03494874v1
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AdequateDL: Approximating Deep Learning AcceleratorsDDECS 2021 - 24th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, Apr 2021, Vienna (virtual), Austria. pp.37-40, ⟨10.1109/DDECS52668.2021.9417026⟩
Communication dans un congrès
hal-03266861v1
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Low-Precision Floating-Point for Efficient On-Board Deep Neural Network ProcessingEuropean Data Handling & Data Processing Conference (EDHPC), European Space Agency (ESA), Oct 2023, Juan-Les-Pins, France. pp.1-8, ⟨10.23919/EDHPC59100.2023.10396014⟩
Communication dans un congrès
hal-04252197v1
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Design of Optimal Multiplierless FIR Filters with Minimal Number of AddersIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022, ⟨10.1109/TCAD.2022.3179221⟩
Article dans une revue
hal-02392522v4
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