Added the virtual environment Diana has created to the uppmax exercise files in the exercises directory

Author: bbrydsoe

Exercises/day4/uppmax/add-list.sh

@@ -13,7 +13,16 @@ MYPATH=/proj/hpc-python-uppmax/<mydir-name>/Exercises/day4/programs/
 
 # Remove any loaded modules and load the ones we need
 module purge  > /dev/null 2>&1
-module load numba/0.60.0-foss-2024a 
+module load Python/3.13.5 foss/2025b CUDA/13.0.2
+
+# Load a virtual environment we already created
+source /sw/arch/local/software/python/venvs/numba-gpu/bin/activate
+# If you are doing this later and need to create it yourself, do the following 
+# module load Python/3.13.5 foss/2025b CUDA/13.0.2
+# python3 -m venv numba-gpu
+# source numba-gpu/bin/activate
+# pip3 install --upgrade pip setuptools wheel
+# pip3 install numba-cuda\[cu13\] numpy
 
 # Run your Python script
 python $MYPATH/add-list.py

Exercises/day4/uppmax/integration2d_gpu_shared.sh

@@ -7,7 +7,18 @@
 #SBATCH -p gpu
 #SBATCH --gpus=l40s:1
 
-module load numba/0.60.0-foss-2024a
+# Remove any loaded modules and load the ones we need
+module purge  > /dev/null 2>&1
+module load Python/3.13.5 foss/2025b CUDA/13.0.2
+
+# Load a virtual environment we already created
+source /sw/arch/local/software/python/venvs/numba-gpu/bin/activate
+# If you are doing this later and need to create it yourself, do the following 
+# module load Python/3.13.5 foss/2025b CUDA/13.0.2
+# python3 -m venv numba-gpu
+# source numba-gpu/bin/activate
+# pip3 install --upgrade pip setuptools wheel
+# pip3 install numba-cuda\[cu13\] numpy
 
 # Set a path where the example programs are installed. 
 # Change the below to your own path to where you placed the example programs

Exercises/day4/uppmax/run_compute.sh

@@ -11,7 +11,16 @@ MYPATH=/proj/hpc-python-uppmax/<mydir-name>/Exercises/day4/programs/
 
 # Remove any loaded modules and load the ones we need
 module purge  > /dev/null 2>&1
-module load numba/0.60.0-foss-2024a
+module load Python/3.13.5 foss/2025b CUDA/13.0.2
+
+# Load a virtual environment we already created
+source /sw/arch/local/software/python/venvs/numba-gpu/bin/activate
+# If you are doing this later and need to create it yourself, do the following 
+# module load Python/3.13.5 foss/2025b CUDA/13.0.2
+# python3 -m venv numba-gpu
+# source numba-gpu/bin/activate
+# pip3 install --upgrade pip setuptools wheel
+# pip3 install numba-cuda\[cu13\] numpy
 
 # Run your Python script
 python $MYPATH/compute.py