State of the Art of Performance Visualization

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dc.contributor.authorIsaacs, Katherine E.en_US
dc.contributor.authorGiménez, Alfredoen_US
dc.contributor.authorJusufi, Iliren_US
dc.contributor.authorGamblin, Todden_US
dc.contributor.authorBhatele, Abhinaven_US
dc.contributor.authorSchulz, Martinen_US
dc.contributor.authorHamann, Bernden_US
dc.contributor.authorBremer, Peer-Timoen_US
dc.contributor.editorR. Borgo and R. Maciejewski and I. Violaen_US
dc.date.accessioned2014-12-16T07:22:02Z
dc.date.available2014-12-16T07:22:02Z
dc.date.issued2014en_US
dc.description.abstractPerformance visualization comprises techniques that aid developers and analysts in improving the time and energy efficiency of their software. In this work, we discuss performance as it relates to visualization and survey existing approaches in performance visualization. We present an overview of what types of performance data can be collected and a categorization of the types of goals that performance visualization techniques can address. We develop a taxonomy for the contexts in which different performance visualizations reside and describe the state of the art research pertaining to each. Finally, we discuss unaddressed and future challenges in performance visualization.en_US
dc.description.seriesinformationEuroVis - STARsen_US
dc.identifier.isbn978-3-03868-028-4en_US
dc.identifier.urihttps://doi.org/10.2312/eurovisstar.20141177en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectLine and curve generationen_US
dc.titleState of the Art of Performance Visualizationen_US
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