Direct solution of larger coupled sparse/dense linear systems using low-rank compression on single-node multi-core machines in an industrial context
- DOI
- 10.1109/ipdps53621.2022.00012
- Published
- 2022-05
- Container
- 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
- Publisher
- IEEE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/ipdps53621.2022.00012,
title = {Direct solution of larger coupled sparse/dense linear systems using low-rank compression on single-node multi-core machines in an industrial context},
author = {Emmanuel Agullo and Marek Felsoci and Guillaume Sylvand},
year = {2022},
journal = {2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)},
doi = {10.1109/ipdps53621.2022.00012},
url = {https://doi.org/10.1109/ipdps53621.2022.00012}
}RIS
TY - JOUR TI - Direct solution of larger coupled sparse/dense linear systems using low-rank compression on single-node multi-core machines in an industrial context AU - Emmanuel Agullo AU - Marek Felsoci AU - Guillaume Sylvand PY - 2022 JO - 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS) DO - 10.1109/ipdps53621.2022.00012 UR - https://doi.org/10.1109/ipdps53621.2022.00012 ER -
APA
Agullo, E., Felsoci, M., & Sylvand, G. (2022). Direct solution of larger coupled sparse/dense linear systems using low-rank compression on single-node multi-core machines in an industrial context. 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS). https://doi.org/10.1109/ipdps53621.2022.00012
Source records
- crossref · retrieved 2026-09-25T07:46:59.471Z