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@@ -7,6 +7,7 @@ Additionally, we also accept users from LIST, LISER and LIH. If you are part of | |
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| - Introduction to Numerical Libraries with BLAS - Jan. 2024, 29th 09h00-13h00, 1.010 MNO - Belval campus | ||
| - Large Language Model on HPC - Jan. 2024, 29th at 15h00-17h00, 2.380 MSA - Belval campus | ||
| - Python HPC School - March 2024, 27-28th, 1.030 MNO - Belval Campus | ||
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| ## HPC School for beginners | ||
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@@ -41,7 +42,9 @@ The workshop is designed for individuals who are interested in advancing their s | |
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| Limited spots available per session (usually 30 max). | ||
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| - No session are planed at the moment. Future sessions will be announced here, please wait for announcements or contact the HPC team via [email](mailto:[email protected]) to express your interest. | ||
| - March, 2024, 27th and 28th. | ||
| - Schedule: 10h to 12h and 14h to 16h (both days). | ||
| - Where: MNO 1.030. - Belval campus | ||
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| ### First day – Jupyter notebook on ULHPC / profiling efficient usage of Numpy | ||
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| #### Program | ||
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| - Use case understanding and Python implementation - 9:30am to 10am | ||
| - Numpy implementation - 10am to 11am | ||
| - Use case understanding and Python implementation - 10am to 10:30am | ||
| - Numpy implementation - 10:30am to 11am | ||
| - Python’s Multiprocessing - 11am to 12pm | ||
| - Lunch break - 12pm to 2pm | ||
| - PyMP - 2pm to 2:30pm | ||
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| #### Requirements | ||
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| - Having an HPC account to access the cluster. | ||
| - **Having an HPC account to access the cluster.** | ||
| - Basic knowledge on SLURM (beginners HPC school). | ||
| - A basic understanding of Python programming. | ||
| - Familiarity with Jupyter Notebook (installed and configured). | ||
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@@ -106,7 +109,7 @@ Overall in this seminar you learn how to: | |
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| - compile libraries from source code, | ||
| - compile and link code that uses numerical libraries, | ||
| - understand the effects of caches in numerical library performance, and | ||
| - understand the effe cts of caches in numerical library performance, and | ||
| - exploit caches to leverage better performance. | ||
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| ### Upcoming sessions | ||
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