About

Ginkgo is a high-performance sparse linear algebra library for many-core systems. A single interface targets CUDA, HIP, SYCL and OpenMP, with composable Krylov solvers and preconditioners, plus distributed and batched functionality.

Publications

Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing

H. Anzt, T. Cojean, G. Flegar, F. Göbel, T. Grützmacher, P. Nayak, T. Ribizel, Y.M. Tsai, E.S. Quintana-Ortí ACM Trans. Math. Softw., 2022
DOI arXiv BibTeX

Ginkgo: A High Performance Numerical Linear Algebra Library

H. Anzt, T. Cojean, Y. Chen, G. Flegar, F. Göbel, T. Grützmacher, P. Nayak, T. Ribizel, Y. Tsai Journal of Open Source Software, 2020
DOI BibTeX

pyGinkgo: A Sparse Linear Algebra Operator Framework for Python

K. Tuteja, G. Olenik, R. Mishchuk, Y. Tsai, M. Götz, A. Streit, H. Anzt, C. Debus Proceedings of the 54th International Conference on Parallel Processing, 2025
DOI arXiv BibTeX

Ginkgo - A Math Library Designed to Accelerate Exascale Computing Project Science Applications

T. Cojean, P. Nayak, T. Ribizel, N. Beams, Y. Mike Tsai, M. Koch, F. Göbel, T. Grützmacher, H. Anzt The International Journal of High Performance Computing Applications, 2024
DOI BibTeX

Using Ginkgo's Memory Accessor for Improving the Accuracy of Memory-Bound Low Precision BLAS

T. Grützmacher, H. Anzt, E.S. Quintana-Ortí Software: Practice and Experience, 2023
DOI BibTeX

Porting Sparse Linear Algebra to Intel GPUs

Y.M. Tsai, T. Cojean, H. Anzt Euro-Par 2021: Parallel Processing Workshops, 2022
DOI BibTeX

Towards Continuous Benchmarking: An Automated Performance Evaluation Framework for High Performance Software

H. Anzt, Y. Chen, T. Cojean, J. Dongarra, G. Flegar, P. Nayak, E.S. Quintana-Ortí, Y.M. Tsai, W. Wang Proceedings of the Platform for Advanced Scientific Computing Conference, 2019
DOI BibTeX