Will do. I just need to take the time to find out exactly what it fails with. I'll open some issues soon. Have a good time at JuliaCon!
On Monday, June 20, 2016 at 11:15:28 PM UTC+1, Stefan Karpinski wrote: > > If you hit issues with DoubleDouble and/or generic math algorithms in > Julia's stdlib, please do file issues. We want to get to the point where > *everything* just works. > > On Mon, Jun 20, 2016 at 4:31 PM, Chris Rackauckas <rack...@gmail.com > <javascript:>> wrote: > >> I see. I surely can't wait for native bigs, but there are definitely more >> pressing issues to work on first. Tim's proof of principle results look >> really nice. >> >> I tried DoubleDouble and ran into some errors. I don't think it worked >> with all standard library math. I'll probably take another look at it in a >> month. That is definitely the right direction to go for now. >> >> On Monday, June 20, 2016 at 7:09:57 PM UTC+1, Stefan Karpinski wrote: >>> >>> I think it might actually be easier for BigFloat since BigFloats are >>> fixed-size, whereas BigInts are variable-size. >>> >>> Chris, there is a DoubleDouble package >>> <https://github.com/simonbyrne/DoubleDouble.jl>, which implements >>> efficient higher-precision floating-point arithmetic, albeit not IEEE >>> 128-bit floats. As soon as hardware and LLVM support 128-bit IEEE floats, >>> Julia can easily support them as well – as I'm sure you realize, much more >>> easily than any other system. >>> >>> Nobody wants BigFloats to be inefficient; the current state of the >>> compiler's ability to reuse them and eliminate allocations simply isn't as >>> good as it could potentially be. That doesn't mean that this won't be >>> improved in the future – it will be, although it's hard to say when since >>> there are a lot of competing priorities and a limited number of people who >>> can do the kind of compiler work necessary to improve this situation. >>> Fortunately, the problem is closely related to a number of other >>> performance issues that we also need to address (strings, array views). >>> >> >
