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cs.LG2022★ 2 cited
Bit-serial Weight Pools: Compression and Arbitrary Precision Execution of Neural Networks on Resource Constrained Processors
Shurui Li, Puneet Gupta
Applications of neural networks on edge systems have proliferated in recent years but the ever-increasing model size makes neural networks not able to deploy on resource-constraine…
cs.LG2021
SWIS -- Shared Weight bIt Sparsity for Efficient Neural Network Acceleration
Shurui Li, Wojciech Romaszkan, Alexander Graening +1
Quantization is spearheading the increase in performance and efficiency of neural network computing systems making headway into commodity hardware. We present SWIS - Shared Weight…