Phi decomposes SNN activations into pre-computed pattern rows plus sparse +/-1 corrections, yielding a 3.45x speedup and 4.93x energy savings over the Stellar accelerator.
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Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural Networks
Phi decomposes SNN activations into pre-computed pattern rows plus sparse +/-1 corrections, yielding a 3.45x speedup and 4.93x energy savings over the Stellar accelerator.