Fault-Tolerant Neural Network Accelerators With Selective TMR

Timoteo García Bertoa(Queen's University Belfast), Giulio Gambardella(Xilinx (Ireland)), Nicholas J. Fraser(Xilinx (Ireland)), Michaela Blott(Xilinx (Ireland)), John McAllister(Queen's University Belfast)
IEEE Design and Test
May 11, 2022
10.1109/mdat.2022.3174181
Cited by 26Open Access
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Abstract

This article presents a tool that analyzes sensitive computations in the neural network and triplicates them to increase the functional safety of the neural network accelerator. —Fei Su, Intel Corporation

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