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Project deliverable . 2023
License: CC BY
Data sources: Datacite
ZENODO
Project deliverable . 2023
License: CC BY
Data sources: Datacite
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D3.5 – Report on the reduction of numerical precision for computation and I/O

Authors: de Oliveira Castro, Pablo; Coppens, Francois; Delval, Aur´elien; Petit, Eric;

D3.5 – Report on the reduction of numerical precision for computation and I/O

Abstract

This deliverable adresses the critical concern of floating-point accuracy in numerical simulations and computation-intensive codes, emphasizing the need for early detection and resolution of numerical bugs. It introduces Verificarlo-CI, a continuous integration workflow that monitors and optimizes numerical accuracy during code development within QMCkl. It also details the design of optimized versions of Sherman-Morrison-Woodbury (SMWB) kernels and show they achieve a good tradeoff between accuracy and performance. The report also explores the benefits of mixed precision in the CHAMP code. Overall, it underscores the importance of early numerical accuracy assessment and offers practical solutions for tuning code performance and accuracy.

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citations
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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