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SWIS -- Shared Weight bIt Sparsity for Efficient Neural Network
  Acceleration
v1v2 (latest)

SWIS -- Shared Weight bIt Sparsity for Efficient Neural Network Acceleration

1 March 2021
Shurui Li
W. Romaszkan
A. Graening
Puneet Gupta
    MQ
ArXiv (abs)PDFHTML

Papers citing "SWIS -- Shared Weight bIt Sparsity for Efficient Neural Network Acceleration"

1 / 1 papers shown
Bit-serial Weight Pools: Compression and Arbitrary Precision Execution
  of Neural Networks on Resource Constrained Processors
Bit-serial Weight Pools: Compression and Arbitrary Precision Execution of Neural Networks on Resource Constrained ProcessorsConference on Machine Learning and Systems (MLSys), 2022
Shurui Li
Puneet Gupta
MQ
149
6
0
25 Jan 2022
1
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