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Published in:
2019 | OriginalPaper | Chapter
Multiple Algorithms Against Multiple Hardware Architectures: Data-Driven Exploration on Deep Convolution Neural Network
Authors : Chongyang Xu, Zhongzhi Luan, Lan Gao, Rui Wang, Han Zhang, Lianyi Zhang, Yi Liu, Depei Qian
Published in: Network and Parallel Computing
Publisher: Springer International Publishing
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Abstract
With the rapid development of deep learning (DL), various convolution neural network (CNN) models have been developed. Moreover, to execute different DL workloads efficiently, many accelerators have been proposed. To guide the design of both CNN models and hardware architectures for a high-performance inference system, we choose five types of CNN models and test them on six processors and measure three metrics. With our experiments, we get two observations and conduct two insights for the design of CNN algorithms and hardware architectures.