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We collect the information needed to diagnose performance problems that traditionally require traces, but at a greatly reduced data volume. Performance analysis working on today's high-end systems require event-based measurements to correctly identify the root cause of a number of the complex performance problems that arise on these highly parallel systems. These high-end-architectures contain tens to hundreds of thousands of processors, pushing application scalability challenges to new heights. Unfortunately, the collection of event-based data presents scalability challenges itself: the added measurement instructions and tool activities perturb the target application; and the large volume of collected data increases tool overhead, and results in data files that are difficult to store and analyze.<\/jats:p>","DOI":"10.1145\/1328690.1328718","type":"journal-article","created":{"date-parts":[[2008,1,3]],"date-time":"2008-01-03T18:20:10Z","timestamp":1199384410000},"page":"64-65","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Scalable event-based performance measurement in high-end environments"],"prefix":"10.1145","volume":"35","author":[{"given":"Kathryn","family":"Mohror","sequence":"first","affiliation":[{"name":"Portland State University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karen L.","family":"Karavanic","sequence":"additional","affiliation":[{"name":"Portland State University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2007,12]]},"reference":[{"key":"e_1_2_1_1_1","first-page":"737","volume-title":"Proceedings of the Parallel Computing Conference (ParCo)","author":"Brunst H.","year":"2003","unstructured":"H. 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