2009/6/5 David Cournapeau <da...@ar.media.kyoto-u.ac.jp>: > Eric Firing wrote: >> >> David, >> >> The eigen web site indicates that eigen achieves high performance >> without all the compilation difficulty of atlas. Does eigen have enough >> functionality to replace atlas in numpy? > > No, eigen does not provide a (complete) BLAS/LAPACK interface. I don't > know if that's even a goal of eigen (it started as a project for KDE, to > support high performance core computations for things like spreadsheet > and co). > > But even then, it would be a huge undertaking. For all its flaws, LAPACK > is old, tested code, with a very stable language (F77). Eigen is: > - not mature. > - heavily expression-template-based C++, meaning compilation takes > ages + esoteric, impossible to decypher compilation errors. We have > enough build problems already :) > - SSE dependency harcoded, since it is setup at build time. That's > going backward IMHO - I would rather see a numpy/scipy which can load > the optimized code at runtime.
I would add that it relies on C++ compiler extensions (the restrict keyword) as does blitz. You unfortunately can't expect every compiler to support it unless the C++ committee finally adds it to the standard. Matthieu -- Information System Engineer, Ph.D. Website: http://matthieu-brucher.developpez.com/ Blogs: http://matt.eifelle.com and http://blog.developpez.com/?blog=92 LinkedIn: http://www.linkedin.com/in/matthieubrucher _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion