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The GridTools framework is a set of libraries and utilities to develop performance portable applications in the area of weather and climate. To achieve the goal of performance portability, the user-code is written in a generic form which is then optimized for a given architecture at compile-time. The core of GridTools is the stencil composition module which implements a DSL embedded in C++ for stencils and stencil-like patterns. Further, GridTools provides modules for halo exchanges, boundary conditions, data management and bindings to C and Fortran.
GridTools is successfully used to accelerate the dynamical core of the [COSMO model](http://cosmo-model.org/) with improved performance on CUDA-GPUs compared to the current official version, demonstrating production quality and feature-completeness of the library for models on lat-lon grids. The GridTools-based dynamical core is shipped with COSMO v5.7 and later, see [release notes COSMO v5.7](http://cosmo-model.org/content/model/releases/histories/cosmo_5.07.htm).
Although GridTools was developed for weather and climate applications it might be applicable for other domains with a focus on stencil-like computations.
A detailed introduction can be found in the [documentation](https://GridTools.github.io/gridtools).
### Installation instructions
```
git clone https://github.com/GridTools/gridtools.git
cd gridtools
mkdir -p build && cd build
cmake ..
make -j8
make test
```
For choosing the compiler, use the standard CMake techniques, e.g. setting the environment variables
```
CXX=`which g++` # full path to the C++ compiler
CC=`which gcc` # full path to theC compiler
FC=`which gfortran` # full path to theFortran compiler
CUDACXX=`which nvcc` # full path to NVCC
CUDAHOSTCXX=`which g++` # full path to the C++ compiler to be used as CUDA host compiler
```
##### Requirements
- C++17 compiler (see also list of tested compilers)
- Boost headers (1.65.1 or later)
- CMake (3.18.1 or later)
- CUDA Toolkit (11.0 or later, optional)
- MPI (optional, CUDA-aware MPI for the GPU communication module `gcl_gpu`)
### Supported compilers
The GridTools libraries are currently nightly tested with the following compilers on [CSCS supercomputers](https://www.cscs.ch/computers/overview/).
| Compiler | Backend | Tested on | Comments |
| --- | --- | --- | --- |
| Cray clang version 12.0.3 | all backends | Piz Daint | P100 GPU | with Clang-CUDA
| Cray clang version 10.0.2 + NVCC 11.2 | all backends | Piz Daint | P100 GPU |
| Cray clang version 12.0.3 | all backends | Piz Daint | with -std=c++20
| GNU 11.2.0 + NVCC 11.0 | all backends | Piz Daint | P100 GPU |
| GNU 11.2.0 + NVCC 11.2 | all backends | Dom | P100 GPU |
| GNU 8.3.0 + NVCC 11.2 | all backends | Tsa | V100 GPU |
##### Known issues
- Some tests are failing with ROCm3.8.0 (Clang 11).
- CUDA 11.0.x has a severe issue, see https://github.com/GridTools/gridtools/issues/1522. Under certain conditions, GridTools code will not compile for this version of CUDA. CUDA 11.1.x and later should not be affected by this issue.
- Cray Clang version 11.0.0 has a problem with the `gridtools::tuple` conversion constructor, see https://github.com/GridTools/gridtools/issues/1615.
##### Partly supported (expected to work, but not tested regularly)
| Compiler | Backend | Date | Comments |
| --- | --- | --- | --- |
| Intel 19.1.1.217 | all backends | 2021-09-30 | with `cmake . -DCMAKE_CXX_FLAGS=-qnextgen` |
| NVHPC 23.3 | all backends | 2023-04-20 | only compilation is tested regularly in CI |
### Contributing
Contributions to the GridTools framework are welcome. Please open an issue for any bugs that you encounter or provide a fix or enhancement as a PR. External contributions to GridTools require us a signed copy of a [copyright release form to ETH Zurich](https://github.com/GridTools/CAA). We will contact you on the PR.
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