Featherlight on-the-fly false-sharing detection

Abstract

Shared-memory parallel programs routinely suffer from false sharing---a performance degradation caused by different threads accessing different variables that reside on the same CPU cacheline and at least one variable is modified. State-of-the-art tools detect false sharing via a heavyweight process of logging memory accesses and feeding the ensuing access traces to an offline cache simulator. We have developed F eather , a lightweight, on-the-fly false-sharing detection tool. F eather achieves low overhead by exploiting two hardware features ubiquitous in commodity CPUs: the performance monitoring units (PMU) and debug registers. Additionally, F eather is a first-of-its-kind tool to detect false sharing in multi-process applications that use shared memory. F eather allowed us to scale false-sharing detection to myriad codes. F eather detected several false-sharing cases in important multi-core and multi-process codes including previous PPoPP artifacts. Eliminating false sharing resulted in dramatic (up to 16x) speedups.