blob: bcb3ad1f6cc5187faf6cdbfe6d3cf2b0bd7b0ed1 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
|
{
fetchzip,
lib,
gmp,
cudaPackages,
autoPatchelfHook,
}:
let
inherit (cudaPackages) backendStdenv;
in
backendStdenv.mkDerivation (finalAttrs: {
pname = "llrCUDA";
version = "4.0.0";
src = fetchzip {
url = "http://jpenne.free.fr/llr4/llrcuda${
builtins.replaceStrings [ "." ] [ "" ] finalAttrs.version
}srcgpu12.zip";
hash = "sha256-/v89jsTKCpkmCMKp9nUf7VAnSobE8pDdwLw5n3Hz9dw=";
};
enableParallelBuilding = true;
# Disable _chdir in lprime.cu to prevent segmentation fault when fopen returns NULL
postPatch = ''
substituteInPlace lprime.cu \
--replace-fail "_chdir (buf)" "0/* _chdir (buf) */"
substituteInPlace Makefile \
--replace-fail "/usr/local/cuda" "${cudaPackages.cuda_nvcc}"
'';
nativeBuildInputs = [
autoPatchelfHook
cudaPackages.cuda_nvcc
];
buildInputs = [
gmp
cudaPackages.cuda_cudart
cudaPackages.libcufft
cudaPackages.cccl
];
env = {
NIX_LDFLAGS = lib.concatStringsSep " " [
"-L${lib.getLib gmp}/lib"
"-L${lib.getLib cudaPackages.cuda_cudart}/lib"
];
};
installPhase = ''
runHook preInstall
install -Dm755 dllrCUDA $out/bin/llrCUDA
runHook postInstall
'';
meta = {
description = "GPU version of the LLR program";
longDescription = ''
Primality proving program for numbers of the form N = k*b^n +/- 1, (k < b^n),
or numbers which can be rewritten in this form, like
Gaussian-Mersenne norms or b^n-b^m +/- 1 with n>m (new feature).
The identity Phi(3,-X) = X^2-X+1 is now used with X=b^n to search for
Generalized Unique Primes.
'';
homepage = "http://jpenne.free.fr/index2.html";
maintainers = with lib.maintainers; [ dstremur ];
license = lib.licenses.unfree;
# Restricted by GWNUM terms and CUDA dependencies.
# Its CUDA code is based on GWNUM.
sourceProvenance = [ lib.sourceTypes.binaryNativeCode ];
platforms = [ "x86_64-linux" ];
mainProgram = "llrCUDA";
};
})
|
