Random sparsity handling in a systolic array
Abstract:
Matrix multiply units can take advantage of input sparsity by zero gating ALUs, which saves power consumption, but compute throughput does not increase. To improve compute throughput from sparsity, processing resources in a matrix accelerator can skip computation with zero involved in input or output. If zeros in input can be skipped, the processing units can focus calculations on generating meaningful non-zero output.
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