Efficient and accurate selection of optimal MPI collective algorithms using analytical performance modelling
Title | Efficient and accurate selection of optimal MPI collective algorithms using analytical performance modelling |
Publication Type | Thesis |
Year of Publication | 2021 |
Authors | Nuriyev, E. |
Thesis Type | PhD |
Advisor | Lastovetsky, A. |
Academic Department | School of Computer Science |
University | University College Dublin |
City | Dublin |
Number of Pages | 130 |
Date Published | 06/2021 |
Attachment | Size |
---|---|
thesis.pdf | 2.21 MB |
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