Title | ||
---|---|---|
VIA: A Smart Scratchpad for Vector Units with Application to Sparse Matrix Computations |
Abstract | ||
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Sparse matrix operations are critical kernels in multiple application domains such as High Performance Computing, artificial intelligence and big data. Vector processing is widely used to improve performance on mathematical kernels with dense matrices. Unfortunately, existing vector architectures do not cope well with sparse matrix computations, achieving much lower performance in comparison with ... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/HPCA51647.2021.00081 | 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA) |
Keywords | DocType | ISSN |
Histograms,High performance computing,Memory management,Linear algebra,Hardware,Libraries,Sparse matrices | Conference | 1530-0897 |
ISBN | Citations | PageRank |
978-1-6654-2235-2 | 0 | 0.34 |
References | Authors | |
0 | 9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Julian Pavon | 1 | 0 | 0.34 |
Ivan Vargas Valdivieso | 2 | 0 | 0.34 |
Adrian Barredo | 3 | 0 | 2.37 |
Joan Marimon | 4 | 0 | 0.34 |
Miquel Moretó | 5 | 205 | 25.49 |
Francesc Moll | 6 | 55 | 14.87 |
Osman Unsal | 7 | 164 | 14.33 |
Mateo Valero | 8 | 4520 | 355.94 |
Adrián Cristal | 9 | 424 | 40.74 |