24 citations · 48 across the 5 of their papers we have counts for
7 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…
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…
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.…
A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic
Ahmad Abdelfattah, Hartwig Anzt, Erik G. Boman +22
Within the past years, hardware vendors have started designing low precision special function units in response to the demand of the Machine Learning community and their demand for…
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…
Preparing Ginkgo for AMD GPUs -- A Testimonial on Porting CUDA Code to HIP
Yuhsiang M. Tsai, Terry Cojean, Tobias Ribizel +1
With AMD reinforcing their ambition in the scientific high performance computing ecosystem, we extend the hardware scope of the Ginkgo linear algebra package to feature a HIP backe…