Morpheus: A library for efficient runtime switching of sparse matrix storage formats

Sparse matrix storage formats have evolved over the years to better exploit the particular strengths of different hardware architectures or to better match the sparsity patterns of matrices, with the aim to optimize operations on the matrices. However, the integration of new formats in existing sour...

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Vydáno v:SoftwareX Ročník 27; s. 101775
Hlavní autoři: Stylianou, Christodoulos, Weiland, Michèle
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.09.2024
Elsevier
Témata:
Dynamic matrices
Generic programming
Performance portability
Productivity
Sparse matrix storage formats
Productivity
Dynamic matrices
Sparse matrix storage formats
Generic programming
Performance portability
ISSN:2352-7110, 2352-7110
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Shrnutí:Sparse matrix storage formats have evolved over the years to better exploit the particular strengths of different hardware architectures or to better match the sparsity patterns of matrices, with the aim to optimize operations on the matrices. However, the integration of new formats in existing source code is an invasive procedure that often requires a complete re-writing of the code. Morpheus introduces a framework that abstracts the notion of the different formats in order to optimize the performance of the sparse operations and increase the user’s productivity by seamlessly matching the underlying data-structure to the computation at runtime, with minimal overheads.
ISSN:2352-7110
2352-7110
DOI:10.1016/j.softx.2024.101775