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Authors
E. Theodore L. Omtzigt (0000-0003-0194-951X), James Quinlan (0000-0002-2628-1651)
Citation
Omtzigt et al., (2023). Universal Numbers Library: Multi-format Variable Precision Arithmetic Library. Journal of Open Source Software, 8(83), 5072, https://doi.org/10.21105/joss.05072
@article{Omtzigt2023,
doi = {10.21105/joss.05072},
url = {https://doi.org/10.21105/joss.05072},
year = {2023},
publisher = {The Open Journal},
volume = {8},
number = {83},
pages = {5072},
author = {E. Theodore L. Omtzigt and James Quinlan},
title = {Universal Numbers Library: Multi-format Variable Precision Arithmetic Library},
journal = {Journal of Open Source Software}
}
Tags
numerical analysis deep learning machine learning floating-point representations mixed-precision
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