Publication Type
Conference Paper
Book Title
Advances in Neural Information Processing Systems 32 (NIPS 2019)
Publication Date
Page Numbers
5735 to 5744
Conference Name
Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019)
Conference Location
Vancouver, Canada
Conference Sponsor
Neural Information Procession Systems Foundation
Conference Date
-
Abstract
Convolutional Neural Networks (CNN) are being actively explored for safetycritical applications such as autonomous vehicles and aerospace, where it is essential to ensure the reliability of inference results in the presence of possible memory faults. Traditional methods such as error correction codes (ECC) and Triple Modular Redundancy (TMR) are CNN-oblivious and incur substantial memory overhead and energy cost. This paper introduces in-place zero-space ECC assisted with a new training scheme weight distribution-oriented training. The new method provides the first known zero space cost memory protection for CNNs without compromising the reliability offered by traditional ECC.
