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Machine learning applied to scheduling optimization of Blaze's parallel linear algebra operations. The repository contains the bash scripts that generate data, the data files, and the python script to analyze said data. Machine learning models are also used to predict the optimal chunk-size for Blaze parallel linear algebra operations.
{"references": ["Khatami et al. (2017) HPX Smart Executors ,available at https://arxiv.org/pdf/1711.01519.pdf"]}
Machine Learning, Linear Algebra, Loop-Level Parallelism
Machine Learning, Linear Algebra, Loop-Level Parallelism
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