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HNMTP Conv: Optimize Convolution Algorithm for Single-Image Convolution Neural Network Inference on Mobile GPUs

2019-09-06 08:36:05
Zhuoran Ji

Abstract

Convolution neural networks are widely used for mobile applications. However, GPU convolution algorithms are designed for mini-batch neural network training, the single-image convolution neural network inference algorithm on mobile GPUs is not well-studied. After discussing the usage difference and examining the existing convolution algorithms, we proposed the HNTMP convolution algorithm. The HNTMP convolution algorithm achieves $14.6 \times$ speedup than the most popular \textit{im2col} convolution algorithm, and $2.1 \times$ speedup than the fastest existing convolution algorithm (direct convolution) as far as we know.

Abstract (translated)

URL

https://arxiv.org/abs/1909.02765

PDF

https://arxiv.org/pdf/1909.02765.pdf


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