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P., Johnson, M. J., Leary, C., Maclaurin, D., Necula, G., Paszke, A., | ||
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Instead of rewriting foreign code for machine learning, automatically | ||
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F. Balcan, & H. Lin (Eds.), Advances in neural information | ||
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<journal_title>Proceedings of the international conference | ||
for high performance computing, networking, storage and | ||
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(2021). Reverse-mode automatic differentiation and optimization of GPU | ||
kernels via enzyme. Proceedings of the International Conference for High | ||
Performance Computing, Networking, Storage and Analysis. | ||
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<journal_title>Proceedings of the international conference | ||
on high performance computing, networking, storage and | ||
analysis</journal_title> | ||
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Paehler, L., Churavy, V., Schanen, M., Hückelheim, J., Doerfert, J., | ||
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parallel paradigms through compiler augmentation. Proceedings of the | ||
International Conference on High Performance Computing, Networking, | ||
Storage and Analysis. | ||
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Software</journal_title> | ||
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Leike, R. H., Guerdi, M., Scheel-Platz, L. I., Guardiani, M., Eberle, | ||
V., Westerkamp, M., & Enßlin, T. A. (2024). Re-envisioning numerical | ||
information field theory (NIFTy.re): A library for Gaussian processes | ||
and variational inference. Journal of Open Source Software, 9(98), 6593. | ||
https://doi.org/10.21105/joss.06593</unstructured_citation> | ||
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Brevdo, E., Chen, Z., Citro, C., Corrado, G. S., Davis, A., Dean, J., | ||
Devin, M., Ghemawat, S., Goodfellow, I., Harp, A., Irving, G., Isard, | ||
M., Jia, Y., Jozefowicz, R., Kaiser, L., Kudlur, M., … Zheng, X. (2015). | ||
TensorFlow: Large-scale machine learning on heterogeneous systems. | ||
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<article_title>PyTorch 2: Faster machine learning through | ||
dynamic Python bytecode transformation and graph | ||
compilation</article_title> | ||
<author>Ansel</author> | ||
<journal_title>29th ACM international conference on | ||
architectural support for programming languages and operating systems, | ||
volume 2 (ASPLOS ’24)</journal_title> | ||
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Gimelshein, N., Jain, A., Voznesensky, M., Bao, B., Bell, P., Berard, | ||
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A., DeVito, Z., Ellison, E., Feng, W., Gong, J., Gschwind, M., … | ||
Chintala, S. (2024, April). PyTorch 2: Faster machine learning through | ||
dynamic Python bytecode transformation and graph compilation. 29th ACM | ||
International Conference on Architectural Support for Programming | ||
Languages and Operating Systems, Volume 2 (ASPLOS ’24). | ||
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