41 citations · 124 across the 20 of their papers we have counts for
6 papers · 1 filter
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…
Compressed Basis GMRES on High Performance GPUs
José I. Aliaga, Hartwig Anzt, Thomas Grützmacher +2
Krylov methods provide a fast and highly parallel numerical tool for the iterative solution of many large-scale sparse linear systems. To a large extent, the performance of practic…
Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing
Hartwig Anzt, Terry Cojean, Goran Flegar +6
In this paper, we present Ginkgo, a modern C++ math library for scientific high performance computing. While classical linear algebra libraries act on matrix and vector objects, Gi…
DMR API: Improving cluster productivity by turning applications into malleable
Sergio Iserte, Rafael Mayo, Enrique S. Quintana-Orti +2
Adaptive workloads can change on--the--fly the configuration of their jobs, in terms of number of processes. In order to carry out these job reconfigurations, we have designed a me…
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…
High Performance and Portable Convolution Operators for ARM-based Multicore Processors
Pablo San Juan, Adrián Castelló, Manuel F. Dolz +2
The considerable impact of Convolutional Neural Networks on many Artificial Intelligence tasks has led to the development of various high performance algorithms for the convolution…