Home Dissemination Communication Press Repository Small reals representations for Deep Learning at the edge: a comparison

Small reals representations for Deep Learning at the edge: a comparison

EPI Consortium members published “Small reals representations for Deep Learning at the edge: a comparison” at the 2022 edition of the Conference on Next Generation Arithmetic (CoNGA’22).

Here you can find a link to an open access version of the article: https://www.researchgate.net/publication/358884612_Small_reals_representations_for_Deep_Learning_at_the_edge_a_comparison.

DOI: https://doi.org/10.1007/978-3-031-09779-9_8.

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Publication Type: Conference Paper
Year of Publication: 2022
Authors: Emanuele Ruffaldi - Federico Rossi - Marco Cococcioni - Sergio Saponara
Publisher:
Name of publication/Event: 2022 edition of the Conference on Next Generation Arithmetic (CoNGA'22)At: Singapore
ISSN Number:
Keywords:
URL: https://www.researchgate.net/publication/358884612_Small_reals_representations_for_Deep_Learning_at_the_edge_a_comparison

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This project has received funding from the European High Performance Computing Joint Undertaking (JU) under Framework Partnership Agreement No 800928 and Specific Grant Agreement No 101036168 (EPI SGA2). The JU receives support from the European Union’s Horizon 2020 research and innovation programme and from Croatia, France, Germany, Greece, Italy, Netherlands, Portugal, Spain, Sweden, and Switzerland.

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