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The SuiteSparse Matrix Collection
The SuiteSparse Matrix Collection provides sparse matrix benchmarks with filters for size, shape, structure, metadata, and keywords.
About The SuiteSparse Matrix Collection
The SuiteSparse Matrix Collection provides sparse matrix benchmarks. It lists 2,904 matrices with group, rows, columns, nonzero counts, kind, and date, and offers filters for size, shape, structure, entry types, and metadata.
Matrix files are currently not accessible. The site reports download traffic about 100 times higher than normal and says restoration may take weeks, with no estimate for resolution.
Key features
- Filter matrices by size and shape
- Filter by structure and entry types
- Filter by metadata and keywords
- Browse table showing rows, columns, nonzeros, kind, and date
- Download matrices in MATLAB, Rutherford Boeing, and Matrix Market formats
- Access matrices through Python, MATLAB, and Java GUI interfaces with local caching
Best for: People who need example sparse matrices with documented size and structure for testing.
Good for
- Contains 2,904 listed matrices
- Shows rows, columns, nonzeros, kind, and date for each entry
- Provides filters for size, shape, structure, entry types, and metadata
Watch out for
- Matrix files are not currently accessible due to excessive download traffic
- Site gives no estimate for when access will be restored and notes it may take weeks
The SuiteSparse Matrix Collection at a glance
- Official website
- sparse.tamu.edu
- Category
- Education & Learning › Universities
- Type
- Institution
- Platforms
- Web
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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The SuiteSparse Matrix Collection FAQ
Why are matrix files unavailable?
The site states the collection is offline because downloads are about 100 times higher than normal, largely from jobs running on AWS, with no estimate for when access will return.
How should I access matrices to reduce load?
The site states its Python, MATLAB, and Java GUI interfaces download a matrix once and cache it locally, and asks users to do the same.
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