depot/third_party/nixpkgs/pkgs/by-name/sp/spla/package.nix

68 lines
1.5 KiB
Nix
Raw Normal View History

{ stdenv
, lib
, fetchFromGitHub
, cmake
, mpi
, blas
, gfortran
, llvmPackages
, gpuBackend ? "none"
, cudaPackages
, rocmPackages
}:
assert builtins.elem gpuBackend [ "none" "cuda" "rocm" ];
stdenv.mkDerivation rec {
pname = "spla";
version = "1.5.5";
src = fetchFromGitHub {
owner = "eth-cscs";
repo = pname;
rev = "v${version}";
hash = "sha256-71QpwTsRogH+6Bik9DKwezl9SqwoLxQt4SZ7zw5X6DE=";
};
postPatch = ''
substituteInPlace src/gpu_util/gpu_blas_api.hpp \
--replace '#include <rocblas.h>' '#include <rocblas/rocblas.h>'
'';
nativeBuildInputs = [
cmake
gfortran
];
buildInputs = [
blas
]
++ lib.optional (gpuBackend == "cuda") cudaPackages.cudatoolkit
++ lib.optionals (gpuBackend == "rocm") [
rocmPackages.clr
rocmPackages.rocblas
] ++ lib.optional stdenv.isDarwin llvmPackages.openmp
;
propagatedBuildInputs = [ mpi ];
cmakeFlags = [
"-DSPLA_OMP=ON"
"-DSPLA_FORTRAN=ON"
"-DSPLA_INSTALL=ON"
# Required due to broken CMake files
"-DCMAKE_INSTALL_LIBDIR=lib"
"-DCMAKE_INSTALL_INCLUDEDIR=include"
]
++ lib.optional (gpuBackend == "cuda") "-DSPLA_GPU_BACKEND=CUDA"
++ lib.optional (gpuBackend == "rocm") [ "-DSPLA_GPU_BACKEND=ROCM" ]
;
meta = with lib; {
description = "Specialized Parallel Linear Algebra, providing distributed GEMM functionality for specific matrix distributions with optional GPU acceleration";
homepage = "https://github.com/eth-cscs/spla";
license = licenses.bsd3;
maintainers = [ maintainers.sheepforce ];#
};
}