SparsePixels: Efficient Convolution for Sparse Data on FPGAs
This work introduces SparsePixels, a framework that implements sparse convolution on FPGAs by selectively retaining and computing on a small subset of active input pixels while ignoring the rest, which aims to benefit future algorithm development for efficient data readout in modern experiments with strict latency requ...