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