Home Dissemination Communication Press Repository Vectorizing posit operations on RISC-V for faster deep neural networks: experiments and comparison with ARM SVE

Vectorizing posit operations on RISC-V for faster deep neural networks: experiments and comparison with ARM SVE

EPI Consortium members published “Vectorizing posit operations on RISC-V for faster deep neural networks: experiments and comparison with ARM SVE” in Neural Computing & Applications.

Here you can find a link to an open access version of the article:

https://link.springer.com/article/10.1007/s00521-021-05814-0

DOI: https://doi.org/10.1007/s00521-021-05814-0

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Publication Type: Journal Article
Year of Publication: 2021
Authors: Emanuele Ruffaldi - Federico Rossi - Marco Cococcioni - Sergio Saponara
Publisher: Springer Verlag
Name of publication/Event: Neural Computing & Applications
ISSN Number: 9410643
Keywords:
URL:

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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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