Visualization of performance data for MPI applications using circular hierarchies

One of the challenges for the developer of highly-parallel MPI applications running on distributed high performance computing systems is to understand the complex behavior of their applications. It requires to identify inefficiencies, and to optimize them such that communication waiting times can be...

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Bibliographic Details
Published in2014 First Workshop on Visual Performance Analysis pp. 1 - 8
Main Authors Schmitt, Felix, Dietrich, Robert, Kuß, René, Doleschal, Jens, Knüpfer, Andreas
Format Conference Proceeding
LanguageEnglish
Published Piscataway, NJ, USA IEEE Press 16.11.2014
IEEE
SeriesACM Conferences
Subjects
Data visualization
Heating
Histograms
Image color analysis
Measurement
Runtime
Topology
visualization; circular hierarchies; MPI; Circos; system topology; tracing; profiling; performance analysis
tracing
visualization
profiling
MPI
circos
system topology
circular hierarchies
performance analysis
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Summary:One of the challenges for the developer of highly-parallel MPI applications running on distributed high performance computing systems is to understand the complex behavior of their applications. It requires to identify inefficiencies, and to optimize them such that communication waiting times can be reduced. This task can only be accomplished with the help of elaborated tools that provide insight into the details of the application using an automatic analysis or an intuitive visualization approach. While the first can only target a specific problem domain, the latter allows humans to discuss performance problems with a broader view and from multiple perspectives. We present a new visualization technique for performance data of MPI applications based on circular hierarchies. It intuitively presents communication patterns and allows developers to correlate those with arbitrary performance metrics. A hierarchy-aware layout increases scalability and helps to identify communication inefficiencies by analyzing and integrating the system's hardware topology. We discuss both our approach as well as its integration into the Score-P performance analysis work flow. Its applicability is presented with a real-world use case of the COSMO+SPECS+FD4 climate simulation code.
ISBN:9781479970582
1479970581
DOI:10.1109/VPA.2014.5