Abstract
Determining the effectiveness of parallelization requires performance data about elapsed process time and total CPU time. Furthermore, it is desirable not to have to run a parallel application in a stand-alone environment in order to obtain the profile. This paper describes the CONVEX performance analyzer, CXpa, with the capability to monitor parallel regions of code, in particular loops, executed in a time-sharing environment. The means by which profiling information is measured for a parallel region is described along with the operating system facilities required to support it. The effectiveness of the approach is evaluated and suggestions for improvement made.The profiling of parallel regions is implemented on the CONVEX C200 Series™ computers, a tightly coupled, shared-memory, parallel/multiprocessor systems running ConvexOS™ V8.0, a UNIX® based operating system.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
