The increasing diversity of deep neural network (DNN) models and hardware platforms necessitates effective model profiling for high-performance inference deployment. Current DNN profiling tools suffer from either limited optimization insights due to the ...

The requirement for deploying deep learning (DL) models efficiently has boosted the research of DL compilers. Especially, the difficulty of generating optimized tensor programs has driven DL compilers to commonly adopt the auto-tuning approaches. ...

Enterprise systems often produce a large volume of logs to record runtime status and events. Anomaly detection from system logs is crucial for service management and system maintenance. Most existing log-based anomaly detection methods use log event <...