euler_kokkos | Compressible hydro and magneto-hydrodynamics ( 2nd order

by pkestene C++ Version: v1.0 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | euler_kokkos Summary

euler_kokkos is a C++ library. euler_kokkos has no bugs, it has no vulnerabilities and it has low support. However euler_kokkos has a Non-SPDX License. You can download it from GitHub.

Provide performance portable (multi-architecture) Kokkos implementation for compressible hydrodynamics (second order, Godunov, MUSCL-Hancock) on cartesian grids.

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Support

euler_kokkos has a low active ecosystem.

It has 19 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of euler_kokkos is v1.0

Quality

euler_kokkos has 0 bugs and 0 code smells.

Security

euler_kokkos has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

euler_kokkos code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

euler_kokkos has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

euler_kokkos releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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euler_kokkos Key Features

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euler_kokkos Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install euler_kokkos

A few example builds, with minimal configuration options.
Add variable CXX on the cmake command line to change the compiler (clang++, icpc, pgcc, ....).
Create a build directory, configure and make
Create a build directory, configure and make
To be able to build with CUDA backend, you need to use nvcc_wrapper located in kokkos source (external/kokkos/bin/nvcc_wrapper). nvcc_wrapper is a compiler wrapper arroud NVIDIA nvcc. It is available from Kokkos sources: external/kokkos/bin/nvcc_wrapper. Any Kokkos application target NVIDIA GPUs must be built with nvcc_wrapper.
Create a build directory, configure and make
Please make sure to use a CUDA-aware MPI implementation (OpenMPI or MVAPICH2) built with the proper flags for activating CUDA support. It may happen that eventhough your MPI implementation is actually cuda-aware, cmake find_package macro for MPI does not detect it to be cuda aware. In that case, you can enforce cuda awareness by turning option USE_MPI_CUDA_AWARE_ENFORCED to ON. You don't need to use mpi compiler wrapper mpicxx, cmake should be able to correctly populate MPI_CXX_INCLUDE_PATH, MPI_CXX_LIBRARIES which are passed to all final targets. Example command line to run the application (1 GPU used per MPI task).
Create a build directory, configure and make
A Sphinx/html documentation will (hopefully) soon be populated. Building documentation requires to have python3 with up-to-date breathe extension.