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The document presents Sparrow ECC, a lightweight error correction code designed to reduce refresh overhead in high bandwidth memory (HBM) for deep neural network (DNN) inference while maintaining accuracy. By exploiting the similarity in exponent values of pre-trained DNN weights, Sparrow ECC minimizes refresh operations and energy consumption, achieving up to 93.22% reduction compared to existing techniques. The method focuses on protecting critical bits in DNN weights, particularly the exponent and sign b

Author

youchenc994

Language

EN