Seeing is believing: The case for hardware-centric inefficiency detection and remediation

Ziji Chen, Steven W. D. Chien, Peng Qian +1

Large-scale machine learning workloads on the cloud suffer from silent inefficiencies, which do not trigger failures or obvious anomalies, making them hard to detect and diagnose.…