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CodeVault
hpc-kernels
dense_linear_algebra
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4787deb7
Commit
4787deb7
authored
Jun 19, 2018
by
Jussi Enkovaara
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License and README
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Copyright 2015
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
README.md
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4787deb7
# PRACE HPC Kernels
This project is part of PRACE CodeVault providing
example codes of common HPC kernels such as dense and sparse linear
algebra, spectral and N-body methods, structured and unstructured
grids, Monte Carlo methods and parallel I/O. The code samples are
published as open source and can be used both for educational purposes
and as parts of real application suites (as permitted by particular
license).
## How to contribute
Any contributions (new code samples, bug fixes, improvements etc.) are
warmly welcome. In order to contribute, please follow the standard
Gitlab workflow:
1.
Fork the project into your personal space
2.
Create a feature branch
3.
Work on your contributions
4.
Push the commit(s) to your fork
5.
Submit a merge request to the master branch
## Compilation instructions
The pre-requisites are:
*
CMake 2.8.10 or higher. CMake >= 3.0.0 if you want to build everything.
*
A C++ compiler
*
For advanced examples, C++11/14, OpenMP support, MPI, ISPC, CUDA, OpenCL ...
In order to build the code, follow the typical CMake steps for an
out-of-source build:
```
bash
mkdir
build
cd
build
cmake ..
make
make
install
# optional
```
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