#19966: ATLAS variant for py25-numpy 1.3.0 -------------------------------+-------------------------------------------- Reporter: max@… | Owner: ram@… Type: enhancement | Status: new Priority: Normal | Milestone: Component: ports | Version: 1.7.1 Keywords: numpy ATLAS | Port: py25-numpy py26-numpy -------------------------------+-------------------------------------------- Comment(by ram@…): Replying to [comment:4 max@…]:
At least for my use-case linking against ATLAS instead of vecLib speeds up the computation. It's hard to find any recent data on how vecLib's performance is compared ATLAS, but i guess having the option to use ATLAS doesnt hurt.
I notice you don't specify the fortran compiler in the build process, doesn't atlas need to know which fortran compiler to use? I'll look at what happens if a fortran compiler is specified...
I created an enhancement for ATLAS to use gcc variants like SciPy does (see ticket #20106). If/When it get's accepted i guess this patch could be applied too?
There's currently a proposal, see #20103, to use the same gcc version for all scientific ports to make things a lot easier... -- Ticket URL: <http://trac.macports.org/ticket/19966#comment:5> MacPorts <http://www.macports.org/> Ports system for Mac OS