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DroneSE/RAPIDO@HiPEAC 2023: Toulouse, France

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Proceedings of the DroneSE and RAPIDO: System Engineering for constrained embedded systems, RAPIDO 2023, Toulouse, France, January 17-18, 2023. ACM 2023
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Réda Nouacer, Mahmoud Hussein, Paul Detterer, Eugenio Villar, Fernando Herrera, Carlo Tieri, Emmanuel Grolleau:
Towards a European Network of Enabling Technologies for Drones. 1-11
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Guillaume Ollier, Fabio Arnez, Morayo Adedjouma, Raphaël Lallement, Simos Gerasimou, Chokri Mraidha:
Towards an Ontological Methodology for Dynamic Dependability Management of Unmanned Aerial Vehicles. 12-19
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  - conf/hipeac/RahnGPNSRTSTWP23
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Sebastian Rahn, Philipp Gehricke, Can-Leon Petermöller, Eric Neumann, Philipp Schlinge, Leon Rabius, Henning Termühlen, Christopher Sieh, Marco Tassemeier, Thomas Wiemann, Mario Porrmann:
ReDroSe - Reconfigurable Drone Setup for Resource-Efficient SLAM. 20-30
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  - conf/hipeac/LesniakAH023
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Fabian Lesniak, Nidhi Anantharajaiah, Tanja Harbaum, Jürgen Becker:
Non-Intrusive Runtime Monitoring for Manycore Prototypes. 31-38
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  - conf/hipeac/BorgstromRB23
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Gustaf Borgström, Christian Rohner, David Black-Schaffer:
Faster Functional Warming with Cache Merging. 39-47
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Marie Badaroux, Julie Dumas, Frédéric Pétrot:
Fast Instruction Cache Simulation is Trickier than You Think. 48-53
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Nils Bosbach, Lukas Jünger, Rebecca Pelke, Niko Zurstraßen, Rainer Leupers:
Entropy-Based Analysis of Benchmarks for Instruction Set Simulators. 54-59
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  - conf/hipeac/KnodtelR23
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Johannes Knödtel, Marc Reichenbach:
Datapath Optimization for Embedded Signal Processing Architectures utilizing Design Space Exploration. 60-65
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Lukas Steiner, Gustavo Delazeri, Iron Prando da Silva, Matthias Jung, Norbert Wehn:
Automatic DRAM Subsystem Configuration with irace. 66-72
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Tim Hotfilter, Patrick Schmidt, Julian Höfer, Fabian Kreß, Tanja Harbaum, Jürgen Becker:
An Analytical Model of Configurable Systolic Arrays to find the Best-Fitting Accelerator for a given DNN Workload. 73-78
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Quentin Dariol, Sébastien Le Nours, Domenik Helms, Ralf Stemmer, Sébastien Pillement, Kim Grüttner:
Fast Yet Accurate Timing and Power Prediction of Artificial Neural Networks Deployed on Clock-Gated Multi-Core Platforms. 79-86

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