> > 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.
No, I have not! I did a quick browse through it and it seems to be exactly the kind of work I want to do. Thanks for the link! -Dale Kim On Wednesday, April 11, 2018 at 2:50:32 PM UTC-7, m.douglas.williams wrote: > > >> 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 > > -- >> You received this message because you are subscribed to the Google Groups >> "Racket Users" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to [email protected] <javascript:>. >> For more options, visit https://groups.google.com/d/optout. >> > > -- You received this message because you are subscribed to the Google Groups "Racket Users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
