Eric Petit

48 papers 46 citations h-index 3 1995–2026

Stochastic rounding variance and probabilistic bounds: A new approach

Stochastic rounding (SR) offers an alternative to the deterministic IEEE-754 floating-point rounding modes. In some applications such as PDEs, ODEs and neural networks, SR empirically improves the...

The Positive Effects of Stochastic Rounding in Numerical Algorithms

Recently, stochastic rounding (SR) has been implemented in specialized hardware but most current computing nodes do not yet support this rounding mode. Several works empirically illustrate the...

Bounds on non-linear errors for variance computation with stochastic rounding

The main objective of this work is to investigate non-linear errors and pairwise summation using stochastic rounding (SR) in variance computation algorithms. We estimate the forward error of...

3 citations 2023-04

Confidence Intervals for Stochastic Arithmetic

Quantifying errors and losses due to the use of Floating-Point (FP) calculations in industrial scientific computing codes is an important part of the Verification, Validation and Uncertainty...

Custom-Precision Mathematical Library Explorations for Code Profiling and Optimization

The typical processors used for scientific computing have fixed-width data-paths. This implies that mathematical libraries were specifically developed to target each of these fixed precisions...