PREDATOR

Abstract

False sharing is a notorious problem for multithreaded applications that can drastically degrade both performance and scalability. Existing approaches can precisely identify the sources of false sharing, but only report false sharing actually observed during execution; they do not generalize across executions. Because false sharing is extremely sensitive to object layout, these detectors can easily miss false sharing problems that can arise due to slight differences in memory allocation order or object placement decisions by the compiler. In addition, they cannot predict the impact of false sharing on hardware with different cache line sizes.