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