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cs.AR2021
Design and Scaffolded Training of an Efficient DNN Operator for Computer Vision on the Edge
Vinod Ganesan, Pratyush Kumar
Massively parallel systolic arrays and resource-efficient depthwise separable convolutions are two promising techniques to accelerate DNN inference on the edge. Interestingly, thei…
cs.AR2021★ 2 cited
FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic Arrays
Surya Selvam, Vinod Ganesan, Pratyush Kumar
Both efficient neural networks and hardware accelerators are being explored to speed up DNN inference on edge devices. For example, MobileNet uses depthwise separable convolution t…