1 { cmake, cudatoolkit, fetchFromGitHub, gfortran, lib, llvmPackages, python3Packages, stdenv
4 , enableCuda ? config.cudaSupport
5 , enableFortran ? builtins.elem stdenv.hostPlatform.system gfortran.meta.platforms
8 , enableUtilities ? true }:
10 stdenv.mkDerivation rec {
14 src = fetchFromGitHub {
18 sha256 = "sha256-iZxA4lIviZQgaeHj6tEQzEFSKocfgpUyf4WvUykb9qk=";
21 nativeBuildInputs = [ cmake ];
23 buildInputs = lib.optional enableCuda cudatoolkit
24 ++ lib.optional enableFortran gfortran
25 ++ lib.optional enableOpenMP llvmPackages.openmp
26 ++ lib.optionals enablePython (with python3Packages; [ cython numpy python ]);
28 # compile CUDA code for all extant GPUs so the binary will work with any GPU
29 # and driver combination. to be ultimately solved upstream:
30 # https://github.com/LLNL/zfp/issues/178
31 # NB: not in cmakeFlags due to https://github.com/NixOS/nixpkgs/issues/114044
32 preConfigure = lib.optionalString enableCuda ''
34 "-DCMAKE_CUDA_FLAGS=-gencode=arch=compute_52,code=sm_52 -gencode=arch=compute_60,code=sm_60 -gencode=arch=compute_61,code=sm_61 -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_75,code=sm_75 -gencode=arch=compute_80,code=sm_80 -gencode=arch=compute_86,code=sm_86 -gencode=arch=compute_87,code=sm_87 -gencode=arch=compute_86,code=compute_86"
39 ] ++ lib.optional enableCfp "-DBUILD_CFP=ON"
40 ++ lib.optional enableCuda "-DZFP_WITH_CUDA=ON"
41 ++ lib.optional enableFortran "-DBUILD_ZFORP=ON"
42 ++ lib.optional enableOpenMP "-DZFP_WITH_OPENMP=ON"
43 ++ lib.optional enablePython "-DBUILD_ZFPY=ON"
44 ++ ([ "-DBUILD_UTILITIES=${if enableUtilities then "ON" else "OFF"}" ]);
49 homepage = "https://computing.llnl.gov/projects/zfp";
50 description = "Library for random-access compression of floating-point arrays";
51 license = licenses.bsd3;
52 maintainers = [ maintainers.spease ];
54 platforms = platforms.aarch64 ++ platforms.x86_64;