activity
20122026
most citedOn the maximum relative error when computing x^n in floating-point arithmetic

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

math.NA2026

Mixed-Precision Computing for Scientific Discovery: Formats, Co-Design, and Responsible Approximation

Emmanuel Agullo, Hartwig Anzt, Daniel Bauer +37

Reduced and mixed precision have moved from a niche optimization to a central design axis in scientific computing and engineering, driven by energy constraints, heterogeneous accel…

math.NA2026

Multiword matrix multiplication over large finite fields in floating-point arithmetic

Jérémy Berthomieu, Stef Graillat, Dimitri Lesnoff +1

This article is concerned with the efficient computation of modular matrix multiplication C=AB mod p, a key kernel in computer algebra. We focus on floating-point arithmetic, which…

cs.DC2020

Reproducibility of Parallel Preconditioned Conjugate Gradient in Hybrid Programming Environments

Roman Iakymchuk, Maria Barreda, Stef Graillat +2

The Preconditioned Conjugate Gradient method is often employed for the solution of linear systems of equations arising in numerical simulations of physical phenomena. While being w…

math.NA2014★ 1 cited

On the maximum relative error when computing x^n in floating-point arithmetic

Stef Graillat, Vincent Lefèvre, Jean-Michel Muller

In this paper, we improve the usual relative error bound for the computation of x^n through iterated multiplications by x in binary floating-point arithmetic. The obtained error bo…

cs.MS2012

GPU-accelerated generation of correctly-rounded elementary functions

Pierre Fortin, Mourad Gouicem, Stef Graillat

The IEEE 754-2008 standard recommends the correct rounding of some elementary functions. This requires to solve the Table Maker's Dilemma which implies a huge amount of CPU computa…