AdequateDL: Approximating Deep Learning Accelerators

2021 24th International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS)(2021)

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摘要
The design and implementation of Convolutional Neural Networks (CNNs) for deep learning (DL) is currently receiving a lot of attention from both industrials and academics. However, the computational workload involved with CNNs is often out of reach for low power embedded devices and is still very costly when running on datacenters. By relaxing the need for fully precise operations, approximate com...
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关键词
Deep learning,Performance evaluation,Approximate computing,Energy efficiency,Hardware,Convolutional neural networks
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