FPU-Supported Running Error Analysis
Tomáš Zahradnický, Róbert Lórencz
Abstract
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Tomáš Zahradnický, Róbert Lórencz
Abstract
Open-access reader
A-posteriori forward rounding error analyses tend to give sharper error estimates than a-priori ones, as they use actual data quantities. One of such a-posteriori analysis – running error analysis – uses expressions consisting of two parts; one generates the error and the other propagates input errors to the output. This paper suggests replacing the error generating term with an FPU-extracted rounding error estimate, which produces a sharper error bound.
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A-posteriori forward rounding error analyses tend to give sharper error estimates than a-priori ones, as they use actual data quantities. One of such a-posteriori analysis – running error analysis – uses expressions consisting of two parts; one generates the error and the other propagates input errors to the output. This paper suggests replacing the error generating term with an FPU-extracted rounding error estimate, which produces a sharper error bound.
Key concepts: Round-off error, A priori and a posteriori, Rounding, Error analysis, Error detection and correction, Computer science, Algorithm, Term (time)