Ginkgo¶
Ginkgo is a high-performance numerical linear algebra library witha focus on the solution of sparse linear systems. It also has support for popular GPUs(NVIDIA, AMD and Intel) with their native programming models, aiming to maximize the attainableperformance. It also has distributed support with MPI and can be used to run solvers and preconditionerson large scale supercomputers. With a focus on sustainable software development, it has comprehensive unittests, usage examples and continuous integration setups to ensure robustness. It also has been integratedinto many popular applications such as MFEM, OpenCARP, deal.ii, OpenFOAM etc.
https://github.com/ginkgo-project/ginkgo
Available modules¶
The overview below shows which Ginkgo installations are available per target architecture in EESSI, ordered based on software version (new to old).
To start using Ginkgo, load one of these modules using a module load command like:
(This data was automatically generated on Fri, 06 Feb 2026 at 13:12:13 UTC)
| aarch64/generic | aarch64/a64fx | aarch64/neoverse_n1 | aarch64/neoverse_v1 | aarch64/nvidia/grace | x86_64/generic | x86_64/amd/zen2 | x86_64/amd/zen3 | x86_64/amd/zen4 | x86_64/intel/cascadelake | x86_64/intel/haswell | x86_64/intel/icelake | x86_64/intel/sapphirerapids | x86_64/intel/skylake_avx512 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ginkgo/1.9.0-gompi-2023b | x | x | x | x | x | x | x | x | x | x | x | x | x | x |