activity
20092026
most citedQR Factorization of Tall and Skinny Matrices in a Grid Computing Environment

46 citations · 56 across the 4 of their papers we have counts for

collaborators

6 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…

cs.DC2020

Resiliency in Numerical Algorithm Design for Extreme Scale Simulations

Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt +33

This work is based on the seminar titled ``Resiliency in Numerical Algorithm Design for Extreme Scale Simulations'' held March 1-6, 2020 at Schloss Dagstuhl, that was attended by a…

math.NA2016

Analyzing the effect of local rounding error propagation on the maximal attainable accuracy of the pipelined Conjugate Gradient method

Siegfried Cools, Emrullah Fatih Yetkin, Emmanuel Agullo +2

Pipelined Krylov subspace methods typically offer improved strong scaling on parallel HPC hardware compared to standard Krylov subspace methods for large and sparse linear systems.…

cs.DC2012★ 5 cited

Pipelining the Fast Multipole Method over a Runtime System

Emmanuel Agullo, Béranger Bramas, Olivier Coulaud +3

Fast Multipole Methods (FMM) are a fundamental operation for the simulation of many physical problems. The high performance design of such methods usually requires to carefully tun…

cs.MS2010★ 5 cited

Towards an Efficient Tile Matrix Inversion of Symmetric Positive Definite Matrices on Multicore Architectures

Emmanuel Agullo, Henricus Bouwmeester, Jack Dongarra +3

The algorithms in the current sequential numerical linear algebra libraries (e.g. LAPACK) do not parallelize well on multicore architectures. A new family of algorithms, the tile a…

cs.DC2009★ 46 cited

QR Factorization of Tall and Skinny Matrices in a Grid Computing Environment

Emmanuel Agullo, Camille Coti, Jack Dongarra +2

Previous studies have reported that common dense linear algebra operations do not achieve speed up by using multiple geographical sites of a computational grid. Because such operat…