Many performance problems observed in high end systems are actually caused by the runtime system and not the application code. Detecting these cases require parallel performance tools to incorporate information about the runtime system; however many current tools do not. We present a test suite for evaluating the ability of performance tools to reach correct diagnosis in cases where a problem is caused by the runtime environment. We include a set of results for one of the tests, which measures application performance as NFS server load is increased. We also present a model for performance diagnosis that combines system and application level information.

Article Free Access Share on An evaluation of automatic and interactive parallel programming tools Authors: Doreen Y. Cheng Computer Science Co., NASA Ames Research Center, MS 258-6, Moffett Field, CA Computer Science Co., NASA Ames Research Center, MS 258-6, Moffett Field, CAView Profile , Douglas M. Pase Formerly at NASA (CSC), Cray Research, Inc., 655F Lone Oak Dr., Eagan, MN Formerly at NASA (CSC), Cray Research, Inc., 655F Lone Oak Dr., Eagan, MNView Profile Authors Info & Claims Supercomputing '91: Proceedings of the 1991 ACM/IEEE conference on SupercomputingAugust 1991 Pages 412–423https://doi.org/10.1145/125826.126052Online:01 August 1991Publication History 15citation284DownloadsMetricsTotal Citations15Total Downloads284Last 12 Months11Last 6 weeks5 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF