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Report . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Report . 2023
License: CC BY
Data sources: Datacite
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Report . 2023
License: CC BY
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Implementation of CUDA kernels with cppPosit and BFLOAT16

descriptionPublicationkeyboard_double_arrow_right Report 27 Jun 2023Publisher:Zenodo
Authors: Ibrahim, Ahmed Salah Tawfik; Del Turco, Francesco;

doi: 10.5281/zenodo.8087492 , 10.5281/zenodo.8087493

Implementation of CUDA kernels with cppPosit and BFLOAT16

Abstract

This report details adding CUDA support to the cppPosit library for floating point numbers representation and comparing its performance against BFLOAT16 and IEEE floats. It's been developed in 2022 at the university of Pisa.

Keywords

bfloat, floating point, hardware acceleration, gpu, cuda, posit, cppPosit

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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