Hi there, Is this the implementation of fma? https://github.com/nschloe/pyfma
Cheers, Arnaldo . |\ _/]_\_ ~~~~~"~~~~~^~~~~~~~~~~~~~~~~~~~~~ Arnaldo D'Amaral Pereira Granja Russo c i c l o t u x . o r g 2018-02-25 8:34 GMT-03:00 Nils Becker <nilsc.bec...@gmail.com>: > Hey, > > >> Anyone that understands FP better than I do: >> >> In the above code, you are multiplying the step by an integer -- is there >> any precision loss when you do that?? >> >> > Elementary operations (add, sub, mul, div) are demanded to be correctly > rounded (cr) by IEEE, i.e. accurate within +/- 0.5 ulp. Consequently, a cr > multiplication followed by a cr addition will be accurate within +/-1 ulp. > This is also true if the first multiplicand is an integer. > Using FMA will reduce this to +/- 0.5 ulp. This increase in accuracy of > the grid calculation should not be relevant - but it also does not hurt. > > Still I would suggest adding the FMA operation to numpy, e.g. np.fma(a, b, > c). There are several places in numpy that could benefit from the increased > accuracy, e.g. evaluation of polynomials using Horner's method. In cases > like this due to iteration and consequent error propagation the accuracy > benefit of using FMA can be far larger. There may also be a performance > benefit on platforms that implement FMA in hardware (although I am not sure > about that). > > Cheers > Nils > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion > >
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