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CUDA kernels and performance experiments from Programming Massively Parallel Processors (4th ed.) memory coalescing, tiling, occupancy analysis. Targeting embedded deployment on Jetson Orin Nano.
TinyML predictive maintenance: a DNN trained from scratch and deployed on STM32L4R9 (Cortex-M4). Full embedded ML pipeline 384 bytes RAM, <5ms inference.
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