Thank you Todd, thank you Intel. The Black-Scholes example helped me understand this capability. I am pleased it continues to be developed, and that it becomes better still when released for v0.5.
On Tuesday, July 12, 2016 at 4:23:05 PM UTC-4, Todd Anderson wrote: > > Hello, > > I'm one of the developers of the Intel ParallelAccelerator package for > Julia. https://github.com/IntelLabs/ParallelAccelerator.jl > > Now that the package has been out for a while, I'd like to poll the user > community. > > 1) Who has used the package to accelerate some real application that they > are working on? If you fall into this category, please drop us a note. > 2) If you tried the package but it didn't work for some reason or you need > support for some feature also please let us know. Soon after Julia 0.5 is > released we will be releasing an updated version of ParallelAccelerator > with support for parallelization via threading through regular Julia > codegen. By going through Julia codegen, code coverage will be greatly > improved. Our current path through C++ with openmp has several > restrictions about what Julia features can be converted to C and most of > these restrictions are therefore lifted by going through native Julia > codegen. > 3) If you haven't heard about ParallelAccelerator before and you have an > application that is array or stencil oriented and you would like to see if > it can be automatically parallelized then please check out our package. > > thanks, > > Todd > > >
