activity
20202025
most citedA Survey of Numerical Methods Utilizing Mixed Precision Arithmetic

24 citations · 48 across the 7 of their papers we have counts for

collaborators
Showing cs.MSShow all

5 papers · 1 filter

cs.MS2024

Interface for Sparse Linear Algebra Operations

Ahmad Abdelfattah, Willow Ahrens, Hartwig Anzt +32

The standardization of an interface for dense linear algebra operations in the BLAS standard has enabled interoperability between different linear algebra libraries, thereby boosti…

cs.MS20207 cited

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.…

cs.MS202024 cited

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…

cs.MS202011 cited

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…

cs.MS2020

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…