Hybrid application mapping for composable many-core systems: Overview and future perspective B Pourmohseni, M Glaß, J Henkel, H Khdr, M Rapp, V Richthammer, ... Journal of Low Power Electronics and Applications 10 (4), 38, 2020 | 15 | 2020 |
Run-time enforcement of non-functional application requirements in heterogeneous many-core systems J Teich, B Pourmohseni, O Keszocze, J Spieck, S Wildermann 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 629-636, 2020 | 15 | 2020 |
Scenario-based soft real-time hybrid application mapping for MPSoCs J Spieck, S Wildermann, J Teich 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 9 | 2020 |
Data-driven scenario-based application mapping for heterogeneous many-core systems J Spieck, S Wildermann, T Schwarzer, J Teich, M Glaß 2019 IEEE 13th International Symposium on Embedded Multicore/Many-core …, 2019 | 9 | 2019 |
A learning-based methodology for scenario-aware mapping of soft real-time applications onto heterogeneous mpsocs J Spieck, S Wildermann, J Teich ACM Transactions on Design Automation of Electronic Systems 28 (1), 1-40, 2022 | 7 | 2022 |
Run-time scenario-based MPSoC mapping reconfiguration using machine learning models J Spieck, S Wildermann, J Teich 2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD), 1-6, 2019 | 5 | 2019 |
RAVEN: reinforcement learning for generating verifiable run-time requirement enforcers for MPSoCs K Esper, J Spieck, PL Sixdenier, S Wildermann, J Teich Fourth Workshop on Next Generation Real-Time Embedded Systems (NG-RES 2023), 2023 | 4 | 2023 |
On Transferring Application Mapping Knowledge Between Differing MPSoC Architectures J Spieck, S Wildermann, J Teich IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 4 | 2022 |
Hybrid genetic reinforcement learning for generating run-time requirement enforcers J Spieck, PL Sixdenier, K Esper, S Wildermann, J Teich Proceedings of the 21st ACM-IEEE International Conference on Formal Methods …, 2023 | 3 | 2023 |
Domain-adaptive soft real-time hybrid application mapping for MPSoCs J Spieck, S Wildermann, J Teich 2021 ACM/IEEE 3rd Workshop on Machine Learning for CAD (MLCAD), 1-6, 2021 | 3 | 2021 |
Invasive Computing N Anantharajaiah, T Asfour, M Bader, L Bauer, J Becker, S Bischof, ... FAU University Press, 2022 | 1 | 2022 |
A Scenario-Based DVFS-Aware Hybrid Application Mapping Methodology for MPSoCs J Spieck, S Wildermann, J Teich ACM Transactions on Design Automation of Electronic Systems, 2024 | | 2024 |
3 Characterisation and Analysis of Invasive Algorithmic Patterns M Bader, S Wildermann, M Glaß, A Pöppl, B Pourmohseni, T Schwarzer, ... Teich/Henkel/Herkersdorf (Eds.), 97, 0 | | |