Exposing Reliability Degradation and Mitigation in Approximate DNNs under Permanent Faults

Ayesha Siddique, Khaza Anuarul Hoque

Approximate computing is known for enhancing deep neural network accelerators' energy efficiency by introducing inexactness with a tolerable accuracy loss. However, small accuracy…