research
∙
07/16/2021
S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration
Exploiting sparsity is a key technique in accelerating quantized convolu...
research
∙
09/04/2020
Sparse Systolic Tensor Array for Efficient CNN Hardware Acceleration
Convolutional neural network (CNN) inference on mobile devices demands e...
research
∙
07/23/2020
Efficient Residue Number System Based Winograd Convolution
Prior research has shown that Winograd algorithm can reduce the computat...
research
∙
05/16/2020
Systolic Tensor Array: An Efficient Structured-Sparse GEMM Accelerator for Mobile CNN Inference
Convolutional neural network (CNN) inference on mobile devices demands e...
research
∙
03/04/2019