40 citations · 95 across the 9 of their papers we have counts for
11 papers
Porting a sparse linear algebra math library to Intel GPUs
Yuhsiang M. Tsai, Terry Cojean, Hartwig Anzt
With the announcement that the Aurora Supercomputer will be composed of general purpose Intel CPUs complemented by discrete high performance Intel GPUs, and the deployment of the o…
A Fresh Look at FAIR for Research Software
Daniel S. Katz, Morane Gruenpeter, Tom Honeyman +6
This document captures the discussion and deliberation of the FAIR for Research Software (FAIR4RS) subgroup that took a fresh look at the applicability of the FAIR Guiding Principl…
Ginkgo -- A Math Library designed for Platform Portability
Terry Cojean, Yu-Hsiang "Mike" Tsai, Hartwig Anzt
The first associations to software sustainability might be the existence of a continuous integration (CI) framework; the existence of a testing framework composed of unit tests, in…
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…
Evaluating the Performance of NVIDIA's A100 Ampere GPU for Sparse Linear Algebra Computations
Yuhsiang Mike Tsai, Terry Cojean, Hartwig Anzt
GPU accelerators have become an important backbone for scientific high performance computing, and the performance advances obtained from adopting new GPU hardware are significant.…