{ stdenv, fetchurl, gfortran, tolerateCpuTimingInaccuracy ? true, shared ? false , cpuConfig ? if stdenv.isi686 then "-b 32 -A 12 -V 1" else "-b 64 -A 14 -V 384" , cacheEdge ? "262144" , threads ? "0" , liblapack, withLapack }: # Atlas detects the CPU and optimizes its build accordingly. This is great when # the code is run on the same machine that built the binary, but in case of a # central build farm like Hydra, this feature is dangerous because the code may # be generated utilizing fancy features that users who download the binary # cannot execute. # # To avoid these issues, the build is configured using the 'cpuConfig' # parameter. Upstream recommends these defaults for distributions: # # | x86 CPU | x86_64 CPU | # |---------------------------------------------+------------------------| # | -b 32 | -b 64 | # | -A 12 (x86x87) | -A 14 (x86SSE2) | # | -V 1 (No SIMD) | -V 384 (SSE1 and SSE2) | # # These defaults should give consistent performance across machines. # Performance will be substantially lower than an optimized build, but a build # optimized for one machine will give even worse performance on others. If you # are a serious user of Atlas (e.g., you write code that uses it) you should # compile an optimized version for each of your machines. # # The parameter 'cacheEdge' sets the L2 cache per core (in bytes). Setting this # parameter reduces build time because some tests to detect the L2 cache size # will not be run. It will also reduce impurity; different build nodes on Hydra # may have different L2 cache sizes, but fixing the L2 cache size should # account for that. This also makes the performance of binary substitutes more # consistent. # # The -V flags can change with each release as new instruction sets are added # because upstream thinks it's a good idea to add entries at the start of an # enum, rather than the end. If the build suddenly fails with messages about # missing instruction sets, you may need to poke around in the source a bit. # # Upstream recommends the x86x87/x86SSE2 architectures for generic x86/x86_64 # for distribution builds. Additionally, we set 'cacheEdge' to reduce impurity. # Otherwise, the cache parameters will be detected by timing which will be # highly variable on Hydra. let inherit (stdenv.lib) optional optionalString; # Don't upgrade until https://github.com/math-atlas/math-atlas/issues/44 # is resolved. version = "3.10.2"; in stdenv.mkDerivation { name = "atlas${optionalString withLapack "-with-lapack"}-${version}"; src = fetchurl { url = "mirror://sourceforge/math-atlas/atlas${version}.tar.bz2"; sha256 = "0bqh4bdnjdyww4mcpg6kn0x7338mfqbdgysn97dzrwwb26di7ars"; }; buildInputs = [ gfortran ]; # 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. patches = optional tolerateCpuTimingInaccuracy ./disable-timing-accuracy-check.patch ++ optional stdenv.isDarwin ./tmpdir.patch; hardeningDisable = [ "format" ]; # Configure outside of the source directory. preConfigure = '' mkdir build cd build configureScript=../configure ''; # * -t 0 disables use of multi-threading. It's not quite clear what the # consequences of that setting are and whether it's necessary or not. configureFlags = [ "-t ${threads}" cpuConfig ] ++ optional shared "--shared" ++ optional withLapack "--with-netlib-lapack-tarfile=${liblapack.src}"; postConfigure = '' if [[ -n "${cacheEdge}" ]]; then echo '#define CacheEdge ${cacheEdge}' >> include/atlas_cacheedge.h echo '#define CacheEdge ${cacheEdge}' >> include/atlas_tcacheedge.h fi ''; doCheck = true; postInstall = '' # Avoid name collision with the real lapack (ATLAS only builds a partial # lapack unless withLapack = true). if ${if withLapack then "false" else "true"}; then mv $out/lib/liblapack.a $out/lib/liblapack_atlas.a fi ''; # 1. /buildATLAS/build/bin/ATLrun.sh: multiple segfaults. # 2. "atlas does its own parallel builds" enableParallelBuilding = false; meta = { homepage = http://math-atlas.sourceforge.net/; description = "Automatically Tuned Linear Algebra Software (ATLAS)"; license = stdenv.lib.licenses.bsd3; platforms = stdenv.lib.platforms.unix; 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. ''; maintainers = with stdenv.lib.maintainers; [ ttuegel ]; }; }