Gabriel Laberge, Shahrzad Shirzad, Patrick Diehl, Hartmut Kaiser, Serge Prudhomme
and Adrian Lemoine
Paper (2019)
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| Department: | Department of Mathematics and Industrial Engineering |
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| ISBN: | 9781728159850 |
| PolyPublie URL: | https://publications.polymtl.ca/44543/ |
| Conference Title: | IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC 2019) |
| Conference Location: | Denver, CO, USA |
| Conference Date(s): | 2019-11-18 |
| Publisher: | IEEE |
| DOI: | 10.1109/mlhpc49564.2019.00009 |
| Official URL: | https://doi.org/10.1109/mlhpc49564.2019.00009 |
| Date Deposited: | 18 Apr 2023 15:02 |
| Last Modified: | 08 Apr 2025 12:23 |
| Cite in APA 7: | Laberge, G., Shirzad, S., Diehl, P., Kaiser, H., Prudhomme, S., & Lemoine, A. (2019, November). Scheduling Optimization of Parallel Linear Algebra Algorithms Using Supervised Learning [Paper]. IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC 2019), Denver, CO, USA. https://doi.org/10.1109/mlhpc49564.2019.00009 |
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