Toward Localized Topological Data Structures: Querying the Forest for the Tree

Volume: 26, Issue: 1, Pages: 173 - 183
Published: Jan 1, 2020
Abstract
Topological approaches to data analysis can answer complex questions about the number, connectivity, and scale of intrinsic features in scalar data. However, the global nature of many topological structures makes their computation challenging at scale, and thus often limits the size of data that can be processed. One key quality to achieving scalability and performance on modern architectures is data locality, i.e., a process operates on data...
Paper Details
Title
Toward Localized Topological Data Structures: Querying the Forest for the Tree
Published Date
Jan 1, 2020
Volume
26
Issue
1
Pages
173 - 183
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