>
>
> To be clear, I was just mentioning that I use single precision floats in
> our main application that is all written in C++, which is where the
> performance is critical/required. I'm trying to use Racket as a tool for
> understanding how we can maximize accuracy of our numerical algorithms
> under the restriction of single precision floats and the Racket code can be
> significantly slower since it is all intended to be run offline for the
> purposes of understanding how the floating point numbers behave against a
> reference implementation.
>

Have you looked at Neil Toronto's paper Practically Accurate Floating-Point
Math (
https://www.cs.umd.edu/~ntoronto/papers/toronto-2014cise-floating-point.pdf).
It is an excellent paper that discusses the use of Racket to analyze the
accuracy of floating-point computations.

Doug

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