Reverse-Mode AD of Multi-Reduce and Scan in Futhark

Author:

Bruun Lotte Maria1ORCID,Larsen Ulrik Stuhr1ORCID,Hinnerskov Nikolaj Hey1ORCID,Oancea Cosmin Eugen1ORCID

Affiliation:

1. Department of Computer Science (DIKU), University of Copenhagen, Denmark

Funder

UCPH Data+

Publisher

ACM

Reference54 articles.

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2. M. Araya-Polo and Laurent Hascoët. 2004. Data Flow Algorithms in the Tapenade Tool for Automatic Differentiation. In Proceedings of the European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2004), P. Neittaanmäki, T. Rossi, S. Korotov, E. Oñate, J. Périaux, and D. Knörzer (Eds.). University of Jyväskylä, Jyväskylä, Finland. online at http://www.mit.jyu.fi/eccomas2004/proceedings/pdf/550.pdf.

3. Automatic Differentiation in Machine Learning: A Survey;Baydin Atılım Günes;J. Mach. Learn. Res.,2017

4. Atilim Gunes Baydin Barak A. Pearlmutter and Jeffrey Mark Siskind. 2015. DiffSharp: Automatic Differentiation Library. arxiv:1511.07727 [cs.MS]

5. Gilbert Bernstein Michael Mara Tzu-Mao Li Dougal Maclaurin and Jonathan Ragan-Kelley. 2020. Differentiating a Tensor Language. https://doi.org/10.48550/ARXIV.2008.11256

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