On 4-Jun-09, at 5:03 PM, Anne Archibald wrote: > Apart from the implementation issues people have chimed in about > already, it's worth noting that the speed of matrix multiplication > depends on the memory layout of the matrices. So generating B instead > directly as a 100 by 500 matrix might affect the speed substantially > (I'm not sure in which direction). If MATLAB's matrices have a > different memory order, that might be a factor as well.
AFAIK Matlab matrices are always Fortran ordered. Does anyone know if the defaults on Mac OS X (vecLib/Accelerate) support multicore? Is there any sense in compiling ATLAS on OS X (I know it can be done)? David _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
