Paper Info
Title
Visual Mpi Performance Analysis Using Event Flow Graphs
Abstract
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 preserving 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).
Year
DOI
Venue
2015
10.1016/j.procs.2015.05.322
INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, ICCS 2015 COMPUTATIONAL SCIENCE AT THE GATES OF NATURE
Keywords
Field
DocType
visual performance analysis, event flow graphs, loop detection, MPI monitoring
Data mining,Graph,Performance monitoring,Profiling (computer programming),Computer science,Flow (psychology),Parallel computing,Real-time computing,Tracing,Scalability,Lossless compression
Conference
Volume
ISSN
Citations 
51
1877-0509
2
PageRank 
References 
Authors
0.38
9
3
Name
Order
Citations
PageRank
Xavier Aguilar1316.49
Karl Fürlinger215722.73
Erwin Laure336944.71