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https://doi.org/10.1109/cluste...
Article . 2017 . Peer-reviewed
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lo2s — Multi-core System and Application Performance Analysis for Linux

Authors: Ilsche, Thomas; Schone, Robert; Bielert, Mario; Gocht, Andreas; Hackenberg, Daniel;

lo2s — Multi-core System and Application Performance Analysis for Linux

Abstract

In this paper we present lo2s - a lightweight performance monitoring tool to sample applications as well as the executing system. It enables the user to analyze the performance of a parallel application without requiring the time-consuming and error-prone process of application instrumentation. The collected performance data is complemented with various metric data, i.e., perf counters, kernel tracepoints, model specific registers, and custom metric data provided by plugins. Comprehensive visualization is enabled by compatibility with established tools.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Top 10%
Average