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PULP NN is a multicore computing library for quantized neural network (QNN) inference on Parallel Ultra Low Power (PULP) clusters of RISC-V processors. It adopts a Height Width Channel (HWC) data layout and implements convolution-based kernels as matrix multiplication operations, leveraging the Xpulp ISA extension and cluster parallelism for high performance and energy efficiency.
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