Analyzing and Mitigating the Impact of Permanent Faults on a Systolic Array Based Neural Network Accelerator

11 Feb 2018Jeff ZhangTianyu GuKanad BasuSiddharth Garg

Due to their growing popularity and computational cost, deep neural networks (DNNs) are being targeted for hardware acceleration. A popular architecture for DNN acceleration, adopted by the Google Tensor Processing Unit (TPU), utilizes a systolic array based matrix multiplication unit at its core... (read more)

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