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Synthesis-friendly techniques for tightly-coupled integration of hardware accelerators into shared-memory multi-core clusters., , and . CODES+ISSS, page 5:1-5:10. IEEE, (2013)Global Monitoring of Hydrological Parameters in Africa by using Both Active and Passive Microwave Sensors., , , , , and . IGARSS (3), page 912-915. IEEE, (2009)He-P2012: Performance and Energy Exploration of Architecturally Heterogeneous Many-Cores., , , and . Signal Processing Systems, 85 (3): 325-340 (2016)Chipmunk: A Systolically Scalable 0.9 mm2, 3.08 Gop/s/mW @ 1.2 mW Accelerator for Near-Sensor Recurrent Neural Network Inference., , , , and . CoRR, (2017)NEURAghe: Exploiting CPU-FPGA Synergies for Efficient and Flexible CNN Inference Acceleration on Zynq SoCs., , , , , , , and . CoRR, (2017)Curbing the roofline: a scalable and flexible architecture for CNNs on FPGA., , , , , and . Conf. Computing Frontiers, page 376-383. ACM, (2016)Fully Onboard AI-Powered Human-Drone Pose Estimation on Ultralow-Power Autonomous Flying Nano-UAVs., , , , , , , , and . IEEE Internet Things J., 9 (3): 1913-1929 (2022)GVSoC: A Highly Configurable, Fast and Accurate Full-Platform Simulator for RISC-V based IoT Processors., , , , , and . CoRR, (2022)Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inference., , , and . CoRR, (2022)Accelerated Visual Context Classification on a Low-Power Smartwatch., , , , and . IEEE Trans. Hum. Mach. Syst., 47 (1): 19-30 (2017)