Pierre Haessig <pierre.haessig <at> crans.org> writes: > > Hi, > > Le 29/02/2012 16:22, Paweł Biernat a écrit : > > Is there any way to interact with Fortran's real(16) (supported by gcc > > and Intel's ifort) data type from numpy? By real(16) I mean the > > binary128 type as in IEEE 754. (In C this data type is experimentally > > supported as __float128 (gcc) and _Quad (Intel's icc).) > I googled a bit this "__float128". It seems a fairly new addition (GCC > 4.6, released March 2011). > The related point in the changelog [1] is : > > "GCC now ships with the LGPL-licensed libquadmath library, which > provides quad-precision mathematical functions for targets with a > __float128 datatype. __float128 is available for targets on 32-bit x86, > x86-64 and Itanium architectures. The libquadmath library is > automatically built on such targets when building the Fortran compiler." > > It seems this __float128 is newcomer in the "picture of data types" that > Matthew just mentioned. > As David says, arithmetic with such a 128 bits data type is probably not > "hardwired" in most processors (I mean Intel & friends) which are > limited to 80 bits ("long doubles") so it may be a bit slow. However, > this GCC implementation with libquadmath seems to create some level of > abstraction. Maybe this is one acceptably good way for a real "IEEE > float 128" dtype in numpy ? > > Best, > Pierre > > [1] http://gcc.gnu.org/gcc-4.6/changes.html > > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion <at> scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
Intel also has its own implementation of binary128, although not well documented (as you said, it's software emulated, but still quite fast): http://software.intel.com/sites/products/documentation/hpc/compilerpro/en-us/fortran/lin/compiler_f/fpops/fortran/fpops_flur_f.htm The documentation is for Fortran's real(16), but I belive the same holds for _Quad type in C. My naive question is, is there a way to recompile numpy with "long double" (or just "float128") replaced with "_Quad" or "__float128"? There are at least two compilers that support the respective data types, so this should be doable. I tested interoperability of binary128 with Fortran and C (using gcc and Intel's compilers) and it works like a charm. The only problem that comes to my mind is i/o, because there is no printf format for _Quad or __float128 and fortran routines have to be used to do all i/o. Paweł _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion