Presentation
ParaViz3D: MPI Trace Visualization with 3D Video
DescriptionConventional MPI trace visualizations become unwieldy as the number of processes increases. Identifying global patterns is challenging, and both the underlying machine topology and parallel program structure are often obscured by the rigid two-dimensional rank-time graphs. To address these limitations, we propose a three-dimensional video visualization of MPI programs that adapts its spatial layout to both the machine topology and the parallel decomposition of the numerical problem, while mapping process time evolution to actual video playback time.
Using Blender, we develop a framework that automatically translates MPI trace data into 3D visual scenes. We explore various display choices, including color-time gradients and transparency, to enhance interpretability. Our approach provides a new, intuitive exploration of both large-scale and local behaviors and patterns. We showcase the utility of this method with idle wave and process desynchronization phenomena.
Using Blender, we develop a framework that automatically translates MPI trace data into 3D visual scenes. We explore various display choices, including color-time gradients and transparency, to enhance interpretability. Our approach provides a new, intuitive exploration of both large-scale and local behaviors and patterns. We showcase the utility of this method with idle wave and process desynchronization phenomena.
Authors
Event Type
Research and ACM SRC Posters
TimeTuesday, 18 November 20258:00am - 5:00pm CST
LocationSecond Floor Atrium
Archive
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