Commit 3242cb30 authored by Benedikt Zoennchen's avatar Benedikt Zoennchen

Merge branch 'master' of https://gitlab.lrz.de/vadere/vadere

parents e0ffa528 5f66c434
Pipeline #93397 failed with stages
in 24 seconds
......@@ -50,7 +50,7 @@ stages:
# runners do not support OpenCL.
script:
- mvn clean
- mvn -Dtest=!TestConvolution,!TestBitonicSort,!TestCLLinkedList,!TestCLOptimalStepsModel test
- mvn -Dtest=!TestConvolution,!TestBitonicSort,!TestCLLinkedList,!TestCLOptimalStepsModel,!TestLWJGL test
- python3 Tools/ContinuousIntegration/collect_line_and_branch_coverage.py
artifacts:
when: on_success
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......@@ -13,7 +13,7 @@ research group at the [Munich University of Applied Sciences](https://www.hm.edu
[department for Computer Science and Mathematics](http://cs.hm.edu/).
However, we welcome contributions from external sources.
The Vadere framework includes a mesh generator for unstructured high-quality 2D meshes called **EikMesh** which is described [here](https://gitlab.lrz.de/vadere/vadere/wikis/eikmesh).
The Vadere framework includes a mesh generator for unstructured high-quality 2D meshes called **EikMesh** which is described [here](https://gitlab.lrz.de/vadere/vadere/wikis/eikmesh/Overview).
## Pipeline Status
......@@ -47,20 +47,22 @@ To execute the `.jar` files it is highly recommended to use Oracle Java 8.
* Java 8
* Maven 3.0
* Git
* OpenCL
* OpenCL (optional but recommended)
**Note:** Please, ensure that the Git executable can be found in the `PATH` variable of your operating system.
#### Install OpenCL
#### Install OpenCL (optional but recommended)
Vadere uses computer's video card to speed up some computations. Therefore, following OpenCL components must be installed:
Vadere uses computer's video card to speed up some computations. Therefore, following OpenCL components should be installed:
* the latest drivers for your OpenCL device(s)
* an OpenCL SDK
* the OpenCL Installable Client Driver loader also called ICD loader (Opencl.dll for Windows and libOpenCL.so for Linux)
* OpenCL Drivers for your device
Both should be offered by the vendor of your device. The device can be a CPU as well as a GPU (recommanded). For example if you have a NVIDIA GPU updating your drivers should be enough to install both components.
Vadere will search for the best device which is supported. On a desktop workstation this should be your video card (GPU). If there is no device Vadere will use a plain and slower Java-Implementation instead.
Please, use following instructions to set up the OpenCL components for your operating system:
* Windows: For further information using OpenCL on Windows [click here](https://streamcomputing.eu/blog/2015-03-16/how-to-install-opencl-on-windows/).
* Windows: For further information using OpenCL on Windows read the paragraph Running an OpenCL application [click here](https://streamcomputing.eu/blog/2015-03-16/how-to-install-opencl-on-windows/).
* OS X: OpenCL is pre-installed for OS X.
* Linux: Please refer to the installation manual of your Linux distribution.
* [Sources: OpenCL HowTo](https://wiki.tiker.net/OpenCLHowTo)
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