{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T20:47:45Z","timestamp":1763498865412,"version":"3.38.0"},"reference-count":15,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[1997,6,1]],"date-time":"1997-06-01T00:00:00Z","timestamp":865123200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["The International Journal of Supercomputer Applications and High Performance Computing"],"published-print":{"date-parts":[[1997,6]]},"abstract":"<jats:p> Event tracing provides the detailed data needed to under stand the dynamics of interactions among application resource demands and system responses. However, cap turing the large volume of dynamic performance data inherent in detailed tracing can perturb program execution and stress secondary storage systems. Moreover, it can overwhelm a user or performance analyst with potentially irrelevant data. Using the Pablo performance environ ment's support for real-time data analysis, we show that dynamic statistical data clustering can dramatically reduce the volume of captured performance data by identifying and recording event traces only from representative proc essors. In turn, this makes possible low overhead, interac tive visualization, and performance tuning. <\/jats:p>","DOI":"10.1177\/109434209701100207","type":"journal-article","created":{"date-parts":[[2007,3,5]],"date-time":"2007-03-05T01:17:47Z","timestamp":1173057467000},"page":"144-159","source":"Crossref","is-referenced-by-count":35,"title":["Real-Time Statistical Clustering for Event Trace Reduction"],"prefix":"10.1177","volume":"11","author":[{"given":"Oleg Y.","family":"Nickolayev","sequence":"first","affiliation":[{"name":"ORACLE CORPORATION, REDWOOD SHORES, CA 94065"}]},{"given":"Philip C.","family":"Roth","sequence":"additional","affiliation":[{"name":"MCSB TECHNOLOGY, EAU CLAIRE, WI 54701"}]},{"given":"Daniel A.","family":"Reed","sequence":"additional","affiliation":[{"name":"DEPARTMENT OF COMPUTER SCIENCE, UNIVERSITY OF ILLINOIS\rAT URBANA-CHAMPAIGN, URBANA, IL 61801"}]}],"member":"179","published-online":{"date-parts":[[1997,6,1]]},"reference":[{"volume-title":"SDDF: The Pablo self-describing data format. Technical Report","year":"1996","author":"Aydt, R.A.","key":"atypb1"},{"journal-title":"Proceedings of Supercomputing '95","year":"1995","author":"Crandall, P.E.","key":"atypb2"},{"volume-title":"Using MPI: Portable parallel programming with the Message-Passing Interface","year":"1994","author":"Gropp, W.","key":"atypb3"},{"volume-title":"High-Performance Fortran language specification, version 1.1. Technical Report","year":"1994","author":"High Performance Fortran Forum.","key":"atypb4"},{"volume-title":"Algorithms for clustering data","year":"1988","author":"Jain, A.K.","key":"atypb5"},{"key":"atypb6","doi-asserted-by":"crossref","unstructured":"Malony, A.D., and Reed, D.A. 1990. A hardware-based performance monitor for the Intel iPSC\/2 hypercube 1990 ACM International Conference on Supercomputing, Association for Computing Machinery, Amsterdam, June, pp. 213-216.","DOI":"10.1145\/77726.255159"},{"key":"atypb7","doi-asserted-by":"publisher","DOI":"10.1109\/2.471178"},{"key":"atypb8","first-page":"7","author":"Miller, C.","year":"1995","journal-title":"Newsletter of the Concurrent Supercomputing Consortium"},{"volume-title":"Performance data reduction using dynamic statistical clustering","year":"1996","author":"Nickolayev, O.","key":"atypb9"},{"volume-title":"Scalable I\/O initiative","year":"1996","author":"Poole, J.T.","key":"atypb10"},{"key":"atypb11","first-page":"104","author":"Reed, D.A.","year":"1993","journal-title":"Proceedings of the Scalable Parallel Libraries Conference"},{"key":"atypb12","first-page":"1","author":"Reed, D.A.","year":"1996","journal-title":"Proceedings of MASCOTS '96"},{"key":"atypb13","doi-asserted-by":"publisher","DOI":"10.1109\/ICPPW.1996.538587"},{"key":"atypb14","doi-asserted-by":"publisher","DOI":"10.1145\/169627.169851"},{"volume-title":"ETRUSCA: Event trace reduction using statistical data clustering analysis","year":"1995","author":"Roth, P.C.","key":"atypb15"}],"container-title":["The International Journal of Supercomputer Applications and High Performance Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/109434209701100207","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/109434209701100207","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T10:41:49Z","timestamp":1740998509000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/109434209701100207"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1997,6]]},"references-count":15,"journal-issue":{"issue":"2","published-print":{"date-parts":[[1997,6]]}},"alternative-id":["10.1177\/109434209701100207"],"URL":"https:\/\/doi.org\/10.1177\/109434209701100207","relation":{},"ISSN":["1078-3482"],"issn-type":[{"type":"print","value":"1078-3482"}],"subject":[],"published":{"date-parts":[[1997,6]]}}}