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Coarse-Grain Memory Sparsification for Small-Footprint Deep Neural Networks

Recent breakthroughs in deep neural networks (DNNs) have led to improvements in state-of-the-art speech applications. Conventional DNNs have hundreds or thousands of neurons in each layer, which require a large amount of memory to store the connections between neurons. Implementing these networks in hardware requires a large memory and high computation...

Published: 2/23/2023 | Inventor(s): Jae-Sun Seo, Chaitali Chakrabarti, Sairam Arunachalam, Deepak Kadetotad

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Category(s): Computing & Information Technology, Wireless & Networking