Difference between revisions of "Running applications"

Revision as of 14:36, 18 August 2021

Parallel computing
- MPI hello world in C - openMP hello world in C - Distributed computing in R with Rmpi

Machine Learning
- Deep learning with TensorFlow on CPU - Deep learning with TensorFlow on GPU

Python
- Python virtual environment - Python multiprocessing - CuPy: NumPy & SciPy for GPU

Container
- Deploy a container using Singularity - Submit a Singularity job

Interactive code development
- VSCode - Jupyter

Comsol
- Comsol MATLAB LiveLink - Comsol files in the home directory

MATLAB
Using MATLAB's Parallel Computing Toolkit

More applications
- Using Gaussian on Euler - Turbomole

@@ Line 15: / Line 15: @@
 <td>
 {| class="wikitable" | style="background: white;text-align:center; width: 320px; height: 280px;"
-!style="background: #bfe5d9;color:black;height: 100px;" |[[File:mpibcast.png|140px]] <br /> Parallel computing
+!style="background: #bfe5d9;color:black;height: 110px;" |[[File:mpibcast.png|140px]] <br /> Parallel computing
 |-  style="background: white;text-align:left;"
 |[[MPI hello world in C| - MPI hello world in C]] <br />[[openMP hello world in C| - openMP hello world in C]] <br /> [[Distributed computing in R with Rmpi | - Distributed computing in R with Rmpi]]
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 <td>
 {| class="wikitable" | style="background: white;text-align:center; width: 320px; height: 280px;"
-!style="background: #bfe5d9;color:black;height: 100px;" |[[File:neuralnetwork.png|140px]] <br /> Machine Learning
+!style="background: #bfe5d9;color:black;height: 110px;" |[[File:neuralnetwork.png|140px]] <br /> Machine Learning
 |-  style="background: white;text-align:left;"
 | [[ Neural network training with TensorFlow on CPU| - Deep learning with TensorFlow on CPU]]<br /> [[Neural network training with TensorFlow on GPU | - Deep learning with TensorFlow on GPU]]