{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,7]],"date-time":"2024-06-07T00:06:05Z","timestamp":1717718765806},"reference-count":7,"publisher":"World Scientific Pub Co Pte Ltd","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Parallel Process. Lett."],"published-print":{"date-parts":[[2014,12]]},"abstract":"<jats:p>To achieve the exaFLOPS performance within a contained power budget, next generation supercomputers will feature hundreds of millions of components operating at low- and near-threshold voltage. As the probability that at least one of these components fails during the execution of an application approaches certainty, it seems unrealistic to expect that any run of a scientific application will not experience some performance faults. We believe that there is need of a new generation of light-weight performance and debugging tools that can be used online even during production runs of parallel applications and that can identify performance anomalies during the application execution. In this work we propose the design and implementation of a monitoring system that continuously inspects the evolution of running applications and the health of the system. To achieve minimum runtime overhead while maintaining the desired level of flexibility, we propose a decoupled approach in which accurate monitoring is performed at kernel-level while performance anomaly disambiguation and corrective actions are performed at user-level.<\/jats:p><jats:p>We evaluate our monitoring system on a 128-core AMD Interlagos system: First, we show that the runtime overhead of the monitoring system is negligible (0-2%). Then we show how our system can be used to precisely identify performance faults in three different scenarios: OS noise, application co-scheduling and dynamic power capping.<\/jats:p>","DOI":"10.1142\/s0129626414420031","type":"journal-article","created":{"date-parts":[[2014,12,31]],"date-time":"2014-12-31T04:43:13Z","timestamp":1420000993000},"page":"1442003","source":"Crossref","is-referenced-by-count":1,"title":["Online Monitoring Systems for Performance Fault Detection"],"prefix":"10.1142","volume":"24","author":[{"given":"Roberto","family":"Gioiosa","sequence":"first","affiliation":[{"name":"Advanced Computation, Mathematics and Data Division, Pacific Northwest National Laboratory, 902, Battelle blvd, 99352 Richland, WA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gokcen","family":"Kestor","sequence":"additional","affiliation":[{"name":"Advanced Computation, Mathematics and Data Division, Pacific Northwest National Laboratory, 902, Battelle blvd, 99352 Richland, WA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Darren J.","family":"Kerbyson","sequence":"additional","affiliation":[{"name":"Advanced Computation, Mathematics and Data Division, Pacific Northwest National Laboratory, 902, Battelle blvd, 99352 Richland, WA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2014,12,30]]},"reference":[{"issue":"6","key":"p_4","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1002\/cpe.1553","volume":"22","author":"Adhianto L.","year":"2010","journal-title":"Pract. Exper."},{"key":"p_6","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.372"},{"key":"p_7","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2011.23"},{"key":"p_8","doi-asserted-by":"publisher","DOI":"10.1177\/1094342007078442"},{"key":"p_18","doi-asserted-by":"publisher","DOI":"10.1147\/rd.494.0533"},{"key":"p_24","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2012.12"},{"key":"p_26","doi-asserted-by":"publisher","DOI":"10.1177\/1094342006064482"}],"container-title":["Parallel Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0129626414420031","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,6]],"date-time":"2024-06-06T06:14:07Z","timestamp":1717654447000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0129626414420031"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,12]]},"references-count":7,"journal-issue":{"issue":"04","published-online":{"date-parts":[[2014,12,30]]},"published-print":{"date-parts":[[2014,12]]}},"alternative-id":["10.1142\/S0129626414420031"],"URL":"https:\/\/doi.org\/10.1142\/s0129626414420031","relation":{},"ISSN":["0129-6264","1793-642X"],"issn-type":[{"value":"0129-6264","type":"print"},{"value":"1793-642X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,12]]}}}