nixpkgs/pkgs/development/libraries/science/math/atlas/default.nix
2013-01-14 12:00:32 +01:00

57 lines
2.1 KiB
Nix

{ stdenv, fetchurl, gfortran, tolerateCpuTimingInaccuracy ? true, shared ? false }:
let
optionalString = stdenv.lib.optionalString;
in
stdenv.mkDerivation {
name = "atlas-3.9.67";
src = fetchurl {
url = mirror://sourceforge/math-atlas/atlas3.9.67.tar.bz2;
sha256 = "06xxlv440z8a3qmfrh17p28girv71c6awvpw5vhpspr0pcsgk1pa";
};
# Configure outside of the source directory.
preConfigure = '' mkdir build; cd build; configureScript=../configure; '';
# * -fPIC allows to build atlas inside shared objects, as octave does.
#
# * Atlas aborts the build if it detects that some kind of CPU frequency
# scaling is active on the build machine because that feature offsets the
# performance timings. We ignore that check, however, because with binaries
# being pre-built on Hydra those timings aren't accurate for the local
# machine in the first place.
# * Atlas detects the cpu and does some tricks. For example, notices the
# hydra AMD Family 10h computer, and uses a SSE trick for it (bit 17 of MXCSR)
# available, for what I know, only in that family. So we hardcode K7
# -A 31 = Athlon K7
# -A 18 = Pentium II
# -V 192 = SSE1|SSE2 (Or it takes SSE3 somehow in my machine without SSE3)
# -V 1 = No SIMD (Pentium II does not have any SSE)
# -t 0 = No threading
configureFlags = "-Fa alg -fPIC -t 0"
+ optionalString stdenv.isi686 " -b 32 -A 18 -V 1"
+ optionalString stdenv.isx86_64 " -A 31 -V 192"
+ optionalString tolerateCpuTimingInaccuracy " -Si cputhrchk 0"
+ optionalString shared " --shared "
;
buildInputs = [ gfortran ];
doCheck = true;
meta = {
homepage = "http://math-atlas.sourceforge.net/";
description = "Automatically Tuned Linear Algebra Software (ATLAS)";
license = "GPL";
longDescription = ''
The ATLAS (Automatically Tuned Linear Algebra Software) project is an ongoing
research effort focusing on applying empirical techniques in order to provide
portable performance. At present, it provides C and Fortran77 interfaces to a
portably efficient BLAS implementation, as well as a few routines from LAPACK.
'';
};
}