User Guide


DTLB Store Overhead

Metric Description

This metric represents a fraction of cycles spent on handling first-level data TLB store misses. As with ordinary data caching, focus on improving data locality and reducing working-set size to reduce DTLB overhead. Additionally, consider using profile-guided optimization (PGO) to collocate frequently-used data on the same page. Try using larger page sizes for large amounts of frequently-used data.

Product and Performance Information


Performance varies by use, configuration and other factors. Learn more at