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ORCIDDaniel Ménard
- > Home > Persons > Daniel Ménard
Publications
- 2019
[j25]Erwan Nogues
, Daniel Ménard, Maxime Pelcat:
Algorithmic-Level Approximate Computing Applied to Energy Efficient HEVC Decoding. IEEE Trans. Emerg. Top. Comput. 7(1): 5-17 (2019)- [c70]Erwan Nogues, Alexandre Mercat, Florian Arrestier, Maxime Pelcat, Daniel Ménard:
Convex Energy Optimization of Streaming Applications for MPSoCs. ICASSP 2019: 1557-1561 - 2017
- [j22]Carlo Sau, Francesca Palumbo, Maxime Pelcat, Julien Heulot, Erwan Nogues, Daniel Ménard, Paolo Meloni, Luigi Raffo:
Challenging the Best HEVC Fractional Pixel FPGA Interpolators With Reconfigurable and Multifrequency Approximate Computing. IEEE Embed. Syst. Lett. 9(3): 65-68 (2017) - [j21]Erwan Nogues, Julien Heulot, Glenn Herrou, Ladislas Robin, Maxime Pelcat, Daniel Ménard, Erwan Raffin, Wassim Hamidouche:
Efficient DVFS for low power HEVC software decoder. J. Real Time Image Process. 13(1): 39-54 (2017) - [j19]Simon Holmbacka, Erwan Nogues, Maxime Pelcat, Sébastien Lafond, Daniel Ménard, Johan Lilius:
Energy-Awareness and Performance Management with Parallel Dataflow Applications. J. Signal Process. Syst. 87(1): 33-48 (2017) - [c59]Erwan Nogues, Daniel Ménard, Alexandre Mercat, Maxime Pelcat:
On Learning the Energy Model of an MPSoC for Convex Optimization. Conf. Computing Frontiers 2017: 385-390 - [c56]Naty Ould Sidaty, Julien Heulot, Wassim Hamidouche, Erwan Nogues, Maxime Pelcat, Daniel Ménard:
Reducing computational complexity in HEVC decoder for mobile energy saving. EUSIPCO 2017: 1026-1030 - 2016
- [j17]Erwan Raffin, Erwan Nogues, Wassim Hamidouche, Seppo Tomperi, Maxime Pelcat, Daniel Ménard:
Low power HEVC software decoder for mobile devices. J. Real Time Image Process. 12(2): 495-507 (2016) - [j15]Riham Nehmeh, Daniel Ménard, Erwan Nogues, Andrei Banciu, Thierry Michel, Romuald Rocher:
Fast Integer Word-length Optimization for Fixed-point Systems - Integer Word-length Optimization. J. Signal Process. Syst. 85(1): 113-128 (2016) - [c52]Justine Bonnot, Erwan Nogues, Daniel Ménard:
New non-uniform segmentation technique for software function evaluation. ASAP 2016: 131-138 - [c51]Erwan Raffin, Wassim Hamidouche, Erwan Nogues, Maxime Pelcat, Daniel Ménard:
Scalable HEVC decoder for mobile devices: Trade-off between energy consumption and quality. DASIP 2016: 18-25 - [c49]Justine Bonnot, Erwan Nogues, Daniel Ménard:
New evaluation scheme for software function approximation with non-uniform segmentation. EUSIPCO 2016: 632-636 - [c48]Erwan Nogues, Maxime Pelcat, Daniel Ménard, Alexandre Mercat:
Energy Efficient Scheduling of Real Time Signal Processing Applications through Combined DVFS and DPM. PDP 2016: 622-626 - 2015
- [c47]Erwan Nogues, Erwan Raffin, Maxime Pelcat, Daniel Ménard:
A modified HEVC decoder for low power decoding. Conf. Computing Frontiers 2015: 60:1-60:6 - [c46]Erwan Raffin, Wassim Hamidouche, Erwan Nogues, Maxime Pelcat, Daniel Ménard, Seppo Tomperi:
Energy efficiency of a parallel HEVC software decoder for embedded devices. Conf. Computing Frontiers 2015: 62:1-62:6 - [c45]Erwan Nogues, Romain Berrada, Maxime Pelcat, Daniel Ménard, Erwan Raffin:
A DVFS based HEVC decoder for energy-efficient software implementation on embedded processors. ICME 2015: 1-6 - 2014
- [c39]Erwan Nogues, Simon Holmbacka, Maxime Pelcat, Daniel Ménard, Johan Lilius:
Power-aware HEVC decoding with tunable image quality. SiPS 2014: 38-43 - [c38]Erwan Nogues, Daniel Ménard:
Efficient fixed-point refinement of DSP dataflow systems. SiPS 2014: 310-315
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