Xu, ZhichenLarus, James R.Miller, Barton P.2013-12-232013-12-232013-12-23199710.1145/263764.263796https://infoscience.epfl.ch/handle/20.500.14299/98762This paper describes a new approach to finding performance bottlenecks in shared-memory parallel programs and its embodiment in the Paradyn Parallel Performance Tools running with the Blizzard fine-grain distributed shared memory system. This approach exploits the underlying system's cache coherence protocol to detect data sharing patterns that indicate potential performance bottlenecks and presents performance measurements in a data-centric manner. As a demonstration, Parodyn helped us improve the performance of a new shared-memory application program by a factor of four.text::conference output::conference proceedings::conference paper