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Ralf Stemmer
Ralf Stemmer
Adresă de e-mail confirmată pe dlr.de
Titlu
Citat de
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Anul
Power and execution time measurement methodology for sdf applications on fpga-based mpsocs
C Schlaak, M Fakih, R Stemmer
arXiv preprint arXiv:1701.03709, 2017
132017
Probabilistic state-based RT-analysis of SDFGs on MPSoCs with shared memory communication
R Stemmer, H Schlender, M Fakih, K Grüttner, W Nebel
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2019
72019
Towards probabilistic timing analysis for SDFGs on tile based heterogeneous MPSoCs
R Stemmer, HD Vu, K Grüttner, S Le Nours, W Nebel, S Pillement
10th European Congress on Embedded Real Time Software and Systems (ERTS 2020 …, 2020
52020
Experimental evaluation of probabilistic execution-time modeling and analysis methods for SDF applications on MPSoCs
R Stemmer, HD Vu, K Grüttner, S Le Nours, W Nebel, S Pillement
Embedded Computer Systems: Architectures, Modeling, and Simulation: 19th …, 2019
52019
Towards state-based rt analysis of fsm-sadfgs on mpsocs with shared memory communication
R Stemmer, M Fakih, K Grüttner, W Nebel
Proceedings of the 9th Workshop on Rapid Simulation and Performance …, 2017
42017
A measurement-based message-level timing prediction approach for data-dependent sdfgs on tile-based heterogeneous mpsocs
R Stemmer, HD Vu, S Le Nours, K Grüttner, S Pillement, W Nebel
Applied Sciences 11 (14), 6649, 2021
32021
A fast yet accurate message-level communication bus model for timing prediction of sdfgs on mpsoc
HD Vu, SL Nours, S Pillement, R Stemmer, K Grüttner
Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021
32021
Feasibility Study of Probabilistic Timing Analysis Methods for SDF Applications on Multi-Core Processors
R Stemmer, HD Vu, M Fakih, K Grüttner, S Le Nours, S Pillement
IETR; OFFIS, 2019
32019
Towards Runtime Monitoring of Complex System Requirements for Autonomous Driving Functions
D Grundt, A Köhne, I Saxena, R Stemmer, B Westphal, E Möhlmann
arXiv preprint arXiv:2209.14032, 2022
22022
Fast Yet Accurate Timing and Power Prediction of Artificial Neural Networks Deployed on Clock-Gated Multi-Core Platforms
Q Dariol, S Le Nours, D Helms, R Stemmer, S Pillement, K Grüttner
Association for Computing Machinery (ACM), 2022
2022
A Hybrid Performance Prediction Approach for Fully-Connected Artificial Neural Networks on Multi-core Platforms
Q Dariol, S Le Nours, S Pillement, R Stemmer, D Helms, K Grüttner
Embedded Computer Systems: Architectures, Modeling, and Simulation: 22nd …, 2022
2022
Hybrid Performance Prediction Models for Fully-Connected Neural Networks on MPSoC
Q Dariol, S Le Nours, S Pillement, R Stemmer, D Helms, K Grüttner
Colloque National du GDR SOC2, 2022
2022
Setup of an Experimental Framework for Performance Modeling and Prediction of Embedded Multicore AI Architectures
Q Dariol, S Le Nours, S Pillement, K Grüttner, D Helms, R Stemmer
IETR UMR 6164, 2022
2022
A Measurement-based Performance Evaluation Framework for Neural Networks on MPSoCs
Q Dariol, S Le Nours, S Pillement, R Stemmer, K Grüttner, D Helms
15ème Colloque National du GDR SOC2, 2021
2021
Experimental Evaluation of Scenario Aware Synchronous Data Flow based Power Management
O Klemp, M Fakih, K Grüttner, R Stemmer, W Nebel
Proceedings of the International Conference on Omni-Layer Intelligent …, 2019
2019
Contribution
Q DARIOL¹, S LE NOURS¹, S PILLEMENT¹, R STEMMER, D HELMS, ...
CONTEXT-OBJECTIVE
R STEMMER, K GRÜTTNER, D HELMS
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Articole 1–17