An Efficient Data Structure for Implementing Splitter Hyperobjects in Task-Parallel Systems
In this thesis, I present and analyze the novel stack-augmented split-tree data structure to support splitter hyperobjects for task-parallel systems. Splitters can mitigate races on shared, nonlocal state, where parallel nested tasks make independent local modifications without affecting shared hist...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/138981 |