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.
