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Exploration of Activation Fault Reliability in Quantized Systolic Array-Based DNN Accelerators
The stringent requirements for the Deep Neural Networks (DNNs) accelerator's reliability stand along with the need for reducing the computational burden on the hardware platforms, i. e. reducing the energy consumption and execution time as well as increasing the efficiency of DNN accelerators.
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