https://github.com/eth-cscs/dla-future-fortran
Fortran interface for DLA-Future
https://github.com/eth-cscs/dla-future-fortran
amd-gpu cholesky-decomposition distributed-linear-algebra dla-future eigensolver eigensolvers eigenvalueproblems fortran gpu-computing linear-algebra nvidia-gpu p2300 pika scalapack stdexec task-based-parallelism
Last synced: 3 months ago
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Fortran interface for DLA-Future
- Host: GitHub
- URL: https://github.com/eth-cscs/dla-future-fortran
- Owner: eth-cscs
- License: bsd-3-clause
- Created: 2024-04-15T12:45:45.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-22T08:30:42.000Z (about 1 year ago)
- Last Synced: 2024-05-22T08:31:00.039Z (about 1 year ago)
- Topics: amd-gpu, cholesky-decomposition, distributed-linear-algebra, dla-future, eigensolver, eigensolvers, eigenvalueproblems, fortran, gpu-computing, linear-algebra, nvidia-gpu, p2300, pika, scalapack, stdexec, task-based-parallelism
- Language: Fortran
- Homepage: https://github.com/eth-cscs/DLA-Future
- Size: 15.6 KB
- Stars: 1
- Watchers: 9
- Forks: 1
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
- Citation: CITATION.cff
Awesome Lists containing this project
README
# DLA-Future Fortran Interface
[](https://doi.org/10.5281/zenodo.11241331) [](https://gitlab.com/cscs-ci/ci-testing/webhook-ci/mirrors/657496524998283/7598378243915359/-/commits/main)
Fortran interface for [DLA-Future], a task-based linear algebra library providing GPU-enabled distributed eigensolver.
## Documentation
* [DLA-Future-Fortran `main` Documentation](https://eth-cscs.github.io/DLA-Future-Fortran/main/)
* [DLA-Future-Fortran `v0.3.0` Documentation](https://eth-cscs.github.io/DLA-Future-Fortran/v0.3.0/)
## Citation
If you are using DLA-Future-Fortran, please cite the following conference paper in addition to this repository and the [DLA-Future] repository:
```
@InProceedings{10.1007/978-3-031-61763-8_13,
author="Solc{\`a}, Raffaele
and Simberg, Mikael
and Meli, Rocco
and Invernizzi, Alberto
and Reverdell, Auriane
and Biddiscombe, John",
editor="Diehl, Patrick
and Schuchart, Joseph
and Valero-Lara, Pedro
and Bosilca, George",
title="DLA-Future: A Task-Based Linear Algebra Library Which Provides a GPU-Enabled Distributed Eigensolver",
booktitle="Asynchronous Many-Task Systems and Applications",
year="2024",
publisher="Springer Nature Switzerland",
address="Cham",
pages="135--141",
isbn="978-3-031-61763-8"
}
```
## Acknowledgements
The development of [DLA-Future-Fortran] is supported by the following organizations:
* [CSCS]: Swiss National Supercomputing Center
* [ETH Zurich]: Swiss Federal Institute of Technology Zurich
* [PASC]: Platform for Advanced Scientific Computing
[DLA-Future]: https://github.com/eth-cscs/DLA-Future
[pika]: https://pikacpp.org/
[DLA-Future-Fortran]: https://github.com/eth-cscs/DLA-Future-Fortran
[CSCS]: https://www.cscs.ch
[ETH Zurich]: https://ethz.ch/en.html
[PASC]: https://www.pasc-ch.org/