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ORCIDRafael Stahl
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2020 – today
- 2023
[c8]Samira Ahmadifarsani
, Rafael Stahl, Philipp van Kempen, Daniel Mueller-Gritschneder, Ulf Schlichtmann:
Towards Rapid Exploration of Heterogeneous TinyML Systems using Virtual Platforms and TVM's UMA. CODAI 2023: 6-10- [c7]Philipp van Kempen, Rafael Stahl, Daniel Mueller-Gritschneder, Ulf Schlichtmann:
MLonMCU: TinyML Benchmarking with Fast Retargeting. CODAI 2023: 32-36 - [c6]Uzair Sharif, Daniel Mueller-Gritschneder, Rafael Stahl, Ulf Schlichtmann:
Efficient Software-Implemented HW Fault Tolerance for TinyML Inference in Safety-critical Applications. DATE 2023: 1-6 - [i2]Rafael Stahl, Daniel Mueller-Gritschneder, Ulf Schlichtmann:
Fused Depthwise Tiling for Memory Optimization in TinyML Deep Neural Network Inference. CoRR abs/2303.17878 (2023) - [i1]Philipp van Kempen, Rafael Stahl, Daniel Mueller-Gritschneder, Ulf Schlichtmann:
MLonMCU: TinyML Benchmarking with Fast Retargeting. CoRR abs/2306.08951 (2023) - 2022
- [c5]Wolfgang Ecker, Peer Adelt, Wolfgang Müller, Reinhold Heckmann, Milos Krstic, Vladimir Herdt, Rolf Drechsler, Gerhard Angst, Ralf Wimmer, Andreas Mauderer, Rafael Stahl, Karsten Emrich, Daniel Mueller-Gritschneder, Bernd Becker, Philipp Scholl, Eyck Jentzsch, Jan Schlamelcher, Kim Grüttner, Paul Palomero Bernardo, Oliver Bringmann, Mihaela Damian, Julian Oppermann, Andreas Koch, Jörg Bormann, Johannes Partzsch, Christian Mayr, Wolfgang Kunz:
The Scale4Edge RISC-V Ecosystem. DATE 2022: 808-813 - 2021
- [j2]Rafael Stahl, Alexander Hoffman, Daniel Mueller-Gritschneder, Andreas Gerstlauer, Ulf Schlichtmann:
DeeperThings: Fully Distributed CNN Inference on Resource-Constrained Edge Devices. Int. J. Parallel Program. 49(4): 600-624 (2021) - 2020
- [j1]Rafael Stahl, Daniel Mueller-Gritschneder, Ulf Schlichtmann:
Driver Generation for IoT Nodes With Optimization of the Hardware/Software Interface. IEEE Embed. Syst. Lett. 12(2): 66-69 (2020)
2010 – 2019
- 2019
- [c4]Saman Payvar, Esko Pekkarinen, Rafael Stahl, Daniel Mueller-Gritschneder, Timo D. Hämäläinen:
Instruction Extension of a RISC-V Processor Modeled with IP-XACT. NORCAS 2019: 1-5 - [c3]Rafael Stahl, Zhuoran Zhao, Daniel Mueller-Gritschneder, Andreas Gerstlauer, Ulf Schlichtmann:
Fully Distributed Deep Learning Inference on Resource-Constrained Edge Devices. SAMOS 2019: 77-90 - [c2]Saman Payvar, Mir Khan, Rafael Stahl, Daniel Mueller-Gritschneder, Jani Boutellier:
Neural Network-based Vehicle Image Classification for IoT Devices. SiPS 2019: 148-153 - 2018
- [c1]Rafael Stahl, Daniel Mueller-Gritschneder, Ulf Schlichtmann:
Automated Redirection of Hardware Accesses for Host-Compiled Software Simulation. FDL 2018: 5-16
Coauthor Index
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