Hybridizer: High-Performance C# on GPUs
I've had to grab my throwaway a/c just because I've worked on this. I've used this framework in a commercial settings, in finance where it is gaining popularity. Have had to work through the bugs, been through several upgrade iterations.When it works. It works. When it fails you're in for a world of pain. A lot is going on behind the scenes. The data structures, classes need special annotations to carefully translate the c# structures into something that cuda understands. You have to pay special attention to your object hierarchy, you have to be aware of all C# keywords that are supported and not supported. The fields in your class may be misaligned by a few bytes of the wrong annotation is used.Don't get me started on cuda pointers - you're not shielded from this. My experience with this has put me off cuda frameworks in general.You're better off learning cuda or hiring a cuda Dev than investing heavily in stacks like this.My background is in HPC in finance.