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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 35 / No. 1: AAAI-21 Technical Tracks 1

Bringing UMAP Closer to the Speed of Light with GPU Acceleration

February 1, 2023

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Authors

Corey J. Nolet

Nvidia University of Maryland Baltimore County


Victor Lafargue

Nvidia


Edward Raff

University of Maryland Baltimore County Booz Allen Hamilton


Thejaswi Nanditale

Nvidia


Tim Oates

University of Maryland Baltimore County


John Zedlewski

Nvidia


Joshua Patterson

NVIDIA


DOI:

10.1609/aaai.v35i1.16118


Abstract:

The Uniform Manifold Approximation and Projection (UMAP) algorithm has become widely popular for its ease of use, quality of results, and support for exploratory, unsupervised, supervised, and semi-supervised learning. While many algorithms can be ported to a GPU in a simple and direct fashion, such efforts have resulted in inefficent and inaccurate versions of UMAP. We show a number of techniques that can be used to make a faster and more faithful GPU version of UMAP, and obtain speedups of up to 100x in practice. Many of these design choices/lessons are general purpose and may inform the conversion of other graph and manifold learning algorithms to use GPUs. Our implementation has been made publicly available as part of the open source RAPIDS cuML library (https://github.com/rapidsai/cuml).

Topics: AAAI

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HOW TO CITE:

Corey J. Nolet||Victor Lafargue||Edward Raff||Thejaswi Nanditale||Tim Oates||John Zedlewski||Joshua Patterson Bringing UMAP Closer to the Speed of Light with GPU Acceleration Proceedings of the AAAI Conference on Artificial Intelligence (2021) 418-426.

Corey J. Nolet||Victor Lafargue||Edward Raff||Thejaswi Nanditale||Tim Oates||John Zedlewski||Joshua Patterson Bringing UMAP Closer to the Speed of Light with GPU Acceleration AAAI 2021, 418-426.

Corey J. Nolet||Victor Lafargue||Edward Raff||Thejaswi Nanditale||Tim Oates||John Zedlewski||Joshua Patterson (2021). Bringing UMAP Closer to the Speed of Light with GPU Acceleration. Proceedings of the AAAI Conference on Artificial Intelligence, 418-426.

Corey J. Nolet||Victor Lafargue||Edward Raff||Thejaswi Nanditale||Tim Oates||John Zedlewski||Joshua Patterson. Bringing UMAP Closer to the Speed of Light with GPU Acceleration. Proceedings of the AAAI Conference on Artificial Intelligence 2021 p.418-426.

Corey J. Nolet||Victor Lafargue||Edward Raff||Thejaswi Nanditale||Tim Oates||John Zedlewski||Joshua Patterson. 2021. Bringing UMAP Closer to the Speed of Light with GPU Acceleration. "Proceedings of the AAAI Conference on Artificial Intelligence". 418-426.

Corey J. Nolet||Victor Lafargue||Edward Raff||Thejaswi Nanditale||Tim Oates||John Zedlewski||Joshua Patterson. (2021) "Bringing UMAP Closer to the Speed of Light with GPU Acceleration", Proceedings of the AAAI Conference on Artificial Intelligence, p.418-426

Corey J. Nolet||Victor Lafargue||Edward Raff||Thejaswi Nanditale||Tim Oates||John Zedlewski||Joshua Patterson, "Bringing UMAP Closer to the Speed of Light with GPU Acceleration", AAAI, p.418-426, 2021.

Corey J. Nolet||Victor Lafargue||Edward Raff||Thejaswi Nanditale||Tim Oates||John Zedlewski||Joshua Patterson. "Bringing UMAP Closer to the Speed of Light with GPU Acceleration". Proceedings of the AAAI Conference on Artificial Intelligence, 2021, p.418-426.

Corey J. Nolet||Victor Lafargue||Edward Raff||Thejaswi Nanditale||Tim Oates||John Zedlewski||Joshua Patterson. "Bringing UMAP Closer to the Speed of Light with GPU Acceleration". Proceedings of the AAAI Conference on Artificial Intelligence, (2021): 418-426.

Corey J. Nolet||Victor Lafargue||Edward Raff||Thejaswi Nanditale||Tim Oates||John Zedlewski||Joshua Patterson. Bringing UMAP Closer to the Speed of Light with GPU Acceleration. AAAI[Internet]. 2021[cited 2023]; 418-426.


ISSN: 2374-3468


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