David Cournapeau wrote: > > It really depends on the CPU, compiler, how atlas was compiled, etc... > it can be slightly faster to 10 times faster (if you use a very poorly > optimized ATLAS). > > For some recent benchmarks: > > http://eigen.tuxfamily.org/index.php?title=Benchmark >
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? Presumably it would need C compatibility wrappers to emulate the blas functions. Would that kill its performance? Or be very difficult? (I'm asking from curiosity combined with complete ignorance. Until yesterday I had never even heard of eigen.) Eric > cheers, > > David _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
