MASR uses bitmask encoding and dynamic load balancing in a modular accelerator to skip zero weights and activations in RNNs, claiming 1.6x speed, 3x energy, and 2x area gains over EIE.
Fast and accurate recurrent neural network acoustic models for speech recognition,
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MASR: A Modular Accelerator for Sparse RNNs
MASR uses bitmask encoding and dynamic load balancing in a modular accelerator to skip zero weights and activations in RNNs, claiming 1.6x speed, 3x energy, and 2x area gains over EIE.