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joss/paper_sparse.bib

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@@ -55,7 +55,7 @@ @article{anzt2014implementing
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year={2014}
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}
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@software{fsparse2024,
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author = {José R. Alves Z. and
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author = {José Alves and
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Samuele Giuli},
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title = {FSPARSE: Fortran Sparse Gallery library},
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month = may,

joss/paper_sparse.md

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@@ -5,7 +5,7 @@ tags:
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- linear algebra
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- sparse matrix
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authors:
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- name: José R. Alves Z.
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- name: José Alves
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corresponding: true
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orcid: 0000-0001-9448-0145
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affiliation: 1
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Sparse matrix–vector multiplication has been implemented for all formats. Preliminary tests confirm correctness and scalability to moderately large problems. However:
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* No sparse matrix–matrix multiplication or factorizations are yet implemented.
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* Parallelism (multi-thread or multi-process) and GPU acceleration are not currently supported.
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* For data-parallelism (multi-processing with MPI or coarrays) the `spmv` kernel can be used as basis within each process. Multi-threading or GPU acceleration is not currently supported.
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* Interfaces are subject to change while the module remains experimental.
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Future work will address these limitations by adding additional kernels, improving performance portability, and expanding supported formats.

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