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- W4384648524 abstract "This work analyzes and parallelizes LearnedSort, the novel algorithm that sorts using machine learning models based on the cumulative distribution function. LearnedSort is analyzed under the lens of algorithms with predictions, and it is argued that LearnedSort is a learning-augmented SampleSort. A parallel LearnedSort algorithm is developed combining LearnedSort with the state-of-the-art SampleSort implementation, IPS4o. Benchmarks on synthetic and real-world datasets demonstrate improved parallel performance for parallel LearnedSort compared to IPS4o and other sorting algorithms." @default.
- W4384648524 created "2023-07-19" @default.
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- W4384648524 date "2023-07-17" @default.
- W4384648524 modified "2023-10-16" @default.
- W4384648524 title "LearnedSort as a learning-augmented SampleSort: Analysis and Parallelization" @default.
- W4384648524 doi "https://doi.org/10.1145/3603719.3603731" @default.
- W4384648524 hasPublicationYear "2023" @default.
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