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Visual MPI Performance Analysis using Event Flow Graphs
KTH, Skolan för datavetenskap och kommunikation (CSC), High Performance Computing and Visualization (HPCViz).ORCID-id: 0000-0001-9693-6265
KTH, Skolan för datavetenskap och kommunikation (CSC), High Performance Computing and Visualization (HPCViz).ORCID-id: 0000-0002-9901-9857
2015 (engelsk)Inngår i: Procedia Computer Science, E-ISSN 1877-0509, Vol. 51, s. 1353-1362Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Event flow graphs used in the context of performance monitoring combine the scalability and low overhead of profiling methods with lossless information recording of tracing tools. In other words, they capture statistics on the performance behavior of parallel applications while pre- serving the temporal ordering of events. Event flow graphs require significantly less storage than regular event traces and can still be used to recover the full ordered sequence of events performed by the application.  In this paper we explore the usage of event flow graphs in the context of visual performance analysis. We show that graphs can be used to quickly spot performance problems, helping to better understand the behavior of an application. We demonstrate our performance analysis approach with MiniFE, a mini-application that mimics the key performance aspects of finite- element applications in High Performance Computing (HPC).

sted, utgiver, år, opplag, sider
Elsevier, 2015. Vol. 51, s. 1353-1362
Emneord [en]
visual performance analysis, event flow graphs, loop detection, MPI monitoring
HSV kategori
Forskningsprogram
Datalogi
Identifikatorer
URN: urn:nbn:se:kth:diva-168701DOI: 10.1016/j.procs.2015.05.322ISI: 000373939100138Scopus ID: 2-s2.0-84939175265OAI: oai:DiVA.org:kth-168701DiVA, id: diva2:817980
Konferanse
International Conference On Computational Science, ICCS 2015 Computational Science at the Gates of Nature
Merknad

QC 20150617

Tilgjengelig fra: 2015-06-08 Laget: 2015-06-08 Sist oppdatert: 2022-06-23bibliografisk kontrollert

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xaguilar_iccs2015(1782 kB)740 nedlastinger
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Aguilar, XavierLaure, Erwin

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