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DeeperThings: Fully Distributed CNN Inference on Resource-Constrained Edge Devices.

, , , , and . Int. J. Parallel Program., 49 (4): 600-624 (2021)

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The Scale4Edge RISC-V Ecosystem., , , , , , , , , and 17 other author(s). DATE, page 808-813. IEEE, (2022)Automated Redirection of Hardware Accesses for Host-Compiled Software Simulation., , and . FDL, page 5-16. IEEE, (2018)Driver Generation for IoT Nodes With Optimization of the Hardware/Software Interface., , and . IEEE Embed. Syst. Lett., 12 (2): 66-69 (2020)Fused Depthwise Tiling for Memory Optimization in TinyML Deep Neural Network Inference., , and . CoRR, (2023)MLonMCU: TinyML Benchmarking with Fast Retargeting., , , and . CoRR, (2023)Neural Network-based Vehicle Image Classification for IoT Devices., , , , and . SiPS, page 148-153. IEEE, (2019)Fully Distributed Deep Learning Inference on Resource-Constrained Edge Devices., , , , and . SAMOS, volume 11733 of Lecture Notes in Computer Science, page 77-90. Springer, (2019)DeeperThings: Fully Distributed CNN Inference on Resource-Constrained Edge Devices., , , , and . Int. J. Parallel Program., 49 (4): 600-624 (2021)Instruction Extension of a RISC-V Processor Modeled with IP-XACT., , , , and . NORCAS, page 1-5. IEEE, (2019)Efficient Software-Implemented HW Fault Tolerance for TinyML Inference in Safety-critical Applications., , , and . DATE, page 1-6. IEEE, (2023)