000192924 001__ 192924
000192924 005__ 20190617200713.0
000192924 037__ $$aCONF
000192924 245__ $$aShared-Memory Performance Profiling
000192924 269__ $$a1997
000192924 260__ $$bACM$$c1997
000192924 336__ $$aConference Papers
000192924 520__ $$aThis paper describes a new approach to finding performance bottlenecks in shared-memory parallel programs and its embodiment in the Paradyn Parallel Performance Tools running with the Blizzard fine-grain distributed shared memory system. This approach exploits the underlying system's cache coherence protocol to detect data sharing patterns that indicate potential performance bottlenecks and presents performance measurements in a data-centric manner. As a demonstration, Parodyn helped us improve the performance of a new shared-memory application program by a factor of four.
000192924 700__ $$aXu, Zhichen
000192924 700__ $$aLarus, James R.
000192924 700__ $$aMiller, Barton P.
000192924 773__ $$tSixth ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming$$q240-251
000192924 8564_ $$uhttp://doi.acm.org/10.1145/263764.263796$$zURL
000192924 909C0 $$xU12814$$0252497$$pUPLARUS
000192924 909CO $$ooai:infoscience.tind.io:192924$$qGLOBAL_SET$$pconf$$pIC
000192924 937__ $$aEPFL-CONF-192924
000192924 973__ $$rREVIEWED$$sPUBLISHED$$aOTHER
000192924 980__ $$aCONF