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This deposition contains source codes to measure Sparse Matrix Vector (SpMV) product performance for matrices in the Compressed Sparse Rows (CSR) format, as well as the Diagonally-Addressed CSR (DA-CSR) format. It includes several custom implementations as well as the Eigen library and, optionally, the Intel MKL. Refer to the code's README files for further information.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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