Hello all, I've recently started to use NumPy to prototype some numerical algorithms, which will eventually find their way to a GPU (where I want to limit myself to single-precision operations for performance reasons). I have recently switched to the use of the "single" type in NumPy to ensure I use single-precision floating point operations.
My understanding, however, is that Intel processors may use extended precision for some operations anyways unless this is explicitly disabled, which is done with gcc via the -ffloat-store operation. Since I am prototyping algorithms for a different processor architecture, where the extended precision registers simply do not exist, I would really like to force NumPy to limit itself to using single-precision operations throughout the calculation (no extended precision in registers). How can I do this? Thanks! AJ _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
