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 | 13 | 2017 |
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 | 7 | 2019 |
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 | 5 | 2020 |
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 | 5 | 2019 |
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 | 4 | 2017 |
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 | 3 | 2021 |
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 | 3 | 2021 |
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 | 3 | 2019 |
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 | 2 | 2022 |
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 | | |