Reducing false sharing on shared memory multiprocessors through compile time data transformations

Abstract

We have developed compiler algorithms that analyze explicitly parallel programs and restructure their shared data to reduce the number of false sharing misses. The algorithms analyze per-process shared data accesses, pinpoint the data structures that are susceptible to false sharing and choose an appropriate transformation to reduce it. The transformations either group data that is accessed by the same processor or separate individual data items that are shared.