Optimizing dense linear algebra algorithms on heterogeneous machines
This paper addresses the execution of inherently sequential linear algebra algorithms namely LU factorization, tridiagonal reduction and the symmetric QR factorization algorithm used for eigenvector computation, which are significant building blocks for applications in our target image processing an...
| Autor principal: | |
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| Outros Autores: | , |
| Formato: | book |
| Idioma: | eng |
| Publicado em: |
2006
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| Assuntos: | |
| Texto completo: | https://hdl.handle.net/10216/92545 |
| País: | Portugal |
| Oai: | oai:repositorio-aberto.up.pt:10216/92545 |