Integrating Multiple Performance Metrics in Automated Model Tuning

This chapter explores the integration of diverse performance metrics like memory consumption and power usage into the SIGopt optimization process. It emphasizes the significance of balancing multiple objectives to enable informed trade-offs in model tuning and discusses advancements in tools that support this holistic view.