In Situ Summarization with VTK-m
Author/Presenters
Event Type
Workshop
Data Analytics
Data management
SIGHPC Workshop
Visualization
TimeSunday, November 12th2:15pm - 2:35pm
Location605
DescriptionSummarization and compression at current and future scales requires a framework for developing and benchmarking algorithms. We present a framework created by integrating existing, production-ready projects and provide timings of two particular algorithms that serve as exemplars for summarization: a wavelet-based data reduction filter and a generator for creating image-like databases of extracted features (isocontours in this case). Both support browser-based, post-hoc, interactive visualization of the summary for decision-making. A study of their weak-scaling on a distributed multi-GPU system is included.
