40 citations · 101 across the 22 of their papers we have counts for
7 papers · 1 filter
Investigating Matrix Repartitioning to Address the Over- and Undersubscription Challenge for a GPU-based CFD Solver
Gregor Olenik, Marcel Koch, Hartwig Anzt
Modern high-performance computing (HPC) increasingly relies on GPUs, but integrating GPU acceleration into complex scientific frameworks like OpenFOAM remains a challenge. Existing…
Fast Truncated SVD of Sparse and Dense Matrices on Graphics Processors
Andres E. Tomas, Enrique S. Quintana-Orti, Hartwig Anzt
We investigate the solution of low-rank matrix approximation problems using the truncated SVD. For this purpose, we develop and optimize GPU implementations for the randomized SVD…
Porting Batched Iterative Solvers onto Intel GPUs with SYCL
Phuong Nguyen, Pratik Nayak, Hartwig Anzt
Batched linear solvers play a vital role in computational sciences, especially in the fields of plasma physics and combustion simulations. With the imminent deployment of the Auror…
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…
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…