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Edge GPU based on an FPGA Overlay Architecture using PYNQ.

, , , , и . SBCCI, стр. 1-6. IEEE, (2022)

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Wolfgang Florian Fricke

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Application Runtime Estimation for AURIX Embedded MCU Using Deep Learning., , , , , , и . SAMOS, том 13511 из Lecture Notes in Computer Science, стр. 235-249. Springer, (2022)Automatic Tool-Flow for Mapping Applications to an Application-Specific CGRA Architecture., , , , и . IPDPS Workshops, стр. 147-154. IEEE, (2019)A Design Methodology for the Next Generation Real-Time Vision Processors., , , , и . ARC, том 9625 из Lecture Notes in Computer Science, стр. 14-25. Springer, (2016)Redesign of an educational robot platform using web-based programming., , , , , и . WESE, стр. 3:1-3:8. ACM, (2016)Artificial Intelligence for Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy., , , , , , , , , и 1 other автор(ы). DATE, стр. 615-620. IEEE, (2021)Artificial Intelligence for Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy Using a Novel Data Augmentation Method., , , , , , , , , и . IEEE Trans. Emerg. Top. Comput., 10 (1): 87-98 (2022)Automatic Toolflow for VCGRA Generation to Enable CGRA Evaluation for Arithmetic Algorithms., , , , и . ARC, том 11444 из Lecture Notes in Computer Science, стр. 277-291. Springer, (2019)An Integrated on-Silicon Verification Method for FPGA Overlays., , , и . J. Electron. Test., 35 (2): 173-189 (2019)Tool flow for automatic generation of architectures and test-cases to enable the evaluation of CGRAs in the context of HPC applications., , и . DASIP, стр. 1-2. IEEE, (2017)Edge GPU based on an FPGA Overlay Architecture using PYNQ., , , , и . SBCCI, стр. 1-6. IEEE, (2022)