Investigating the Benefit of FP16-Enabled Mixed-Precision So…

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2020
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  • DOI 10.1007/978-3-030-50417-5_18
  • OpenAlex ID W3035977869
  • Type Conference-paper
  • Language EN
  • Published 01 Jan 2020
  • Pages 237–250
  • Source Lecture notes in computer science
  • Publisher Springer Science+Business Media
  • FWCI 2.00
  • Countries 2
  • Institutions 3
  • Added 10 Oct 2025
  • Updated 10 Oct 2026
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Investigating the Benefit of FP16-Enabled Mixed-Precision Solvers for Symmetric Positive Definite Matrices Using GPUs

Conference-paper 2020 EN Green

15

Citations

14

References

3

Authors

2.00

FWCI

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3 authors
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1 Ahmad Abdelfattah Corresponding University of Tennessee at Kno… (US)
2 Stanimire Z. Tomov University of Tennessee at Kno… (US)
3 Jack J. Dongarra Oak Ridge National Laboratory (US) University of Manchester (GB) +1
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