Build cross compile environment (build on x86, run on aarch64 + GPU) to test MG C++ BFS performance #4953
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Just for archival purpose, will be closed immediately.
gcc-aarch64-linux-gnu
g++-aarch64-linux-gnu
gfortran-aarch64-linux-gnu (maybe unnecessary)
Note that this is in-addition to the existing CUDA toolkit. Once installed, you will see new directories with
sbsa-linux
(e.g./usr/local/cuda-12.8/targets/sbsa-linux
).minimal_cuda-128_arch_cross_linux-aarch64.yaml
). Note that the purpose of this PR is to just run MG C++ BFS tests. No need to install any packages to run python libraries.Then, install NCCL for aarch64 to the minimal conda environment.
CONDA_SUBDIR=linux-aarch64 conda install -c conda-forge nccl
Copy
librapids_logger.so
to thelib
directory of the minimal conda environment.Update
MPI_ROOT
in thetests/CMakeLists.txt
file to use this MPI.libcugraph.so
andMG_BFS_TEST
to the target system.