Projects per year
Abstract / Description of output
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.
Original language | English |
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Article number | 101775 |
Journal | SoftwareX |
Volume | 27 |
Publication status | Published - 29 May 2024 |
Keywords / Materials (for Non-textual outputs)
- Dynamic matrices
- Generic programming
- Performance portability
- Productivity
- Sparse matrix storage formats
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Dive into the research topics of 'Morpheus: a library for efficient runtime switching of sparse matrix storage formats'. Together they form a unique fingerprint.Projects
- 1 Finished
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Strategic Partnership in Computational Science for Advanced Simulation and Modelling of Engineering Systems - ASiMoV
1/10/18 → 31/03/24
Project: Research
Research output
- 1 Paper
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An approach to performance portability through generic programming
Hadjigeorgiou, A., Stylianou, C., Weiland, M., Verschuur, D. J. & Finkenrath, J., 16 Apr 2024.Research output: Contribution to conference › Paper › peer-review
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