From 4d76b3e6d2e8c887b353981dc831689e4dbd4833 Mon Sep 17 00:00:00 2001 From: Oscar Castro-Lopez Date: Tue, 30 Jan 2024 10:00:40 +0100 Subject: [PATCH] Update hpc-schools.md Added the upcoming python hpc school in march --- docs/hpc-schools.md | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) diff --git a/docs/hpc-schools.md b/docs/hpc-schools.md index cc97aa76..3b1105b7 100644 --- a/docs/hpc-schools.md +++ b/docs/hpc-schools.md @@ -7,6 +7,7 @@ Additionally, we also accept users from LIST, LISER and LIH. If you are part of - 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 ## HPC School for beginners @@ -41,7 +42,9 @@ The workshop is designed for individuals who are interested in advancing their s Limited spots available per session (usually 30 max). -- 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:hpc-school-for-beginners@uni.lu) 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 ### First day – Jupyter notebook on ULHPC / profiling efficient usage of Numpy @@ -64,8 +67,8 @@ Limited spots available per session (usually 30 max). #### Program -- 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 @@ -74,7 +77,7 @@ Limited spots available per session (usually 30 max). #### Requirements -- 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). @@ -106,7 +109,7 @@ Overall in this seminar you learn how to: - 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. ### Upcoming sessions