WACO: Learning workload-aware co-optimization of the format and schedule of a sparse tensor program
Leveraging the existence of the large number of zeros in sparse tensors offer a powerful way to solve complex problems efficiently in many applications. However, optimizing the performance of those applications poses a challenge. Sparse tensor programs must find the ideal balance between data format...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/152757 |