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DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs., , , , , and . IEEE Trans. Computers, 70 (8): 1253-1268 (2021)Dustin: A 16-Cores Parallel Ultra-Low-Power Cluster with 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode., , , , , , and . CoRR, (2022)A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks., , , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 12 (2): 422-435 (2022)Shaheen: An Open, Secure, and Scalable RV64 SoC for Autonomous Nano-UAVs., , , , , , , , , and 8 other author(s). HCS, page 1-12. IEEE, (2023)Streamlining the OpenMP Programming Model on Ultra-Low-Power Multi-core MCUs., , , , and . ARCS, volume 12800 of Lecture Notes in Computer Science, page 167-182. Springer, (2021)ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers., , , , , , and . ISLPED, page 1-6. IEEE, (2023)A 1.15 TOPS/W, 16-Cores Parallel Ultra-Low Power Cluster with 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode., , , , , , and . ESSCIRC, page 267-270. IEEE, (2021)Enabling Mixed-Precision Quantized Neural Networks in Extreme-Edge Devices., , , , and . CoRR, (2020)A transprecision floating-point cluster for efficient near-sensor data analytics., , , , , , , and . CoRR, (2020)Dustin: A 16-Cores Parallel Ultra-Low-Power Cluster With 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode., , , , , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 70 (6): 2450-2463 (2023)