SHARED-MEMORY PERFORMANCE PROFILING

This 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 distri buted shared memory system. This approach exploits the underlying syst em's cache coherence protocol to detect data sharing patterns that ind icate potential performance bottlenecks and presents performance measu rements in a data-centric manner. As a demonstration, Paradyn helped u s improve the performance of a new shared-memory application program b y a factor of four.