Altimesh Hybridizer Essentials
Hybridizer Essentials is a compiler targeting CUDA-enabled GPUS from .Net. Using parallelization patterns, such as Parallel.For, or ditributing parallel work by hand, the user can benefit from the compute power of GPUS or CPUs without entering the learning curve of CUDA s, all within Visual Studio.
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See more retailed release notes here.
We don't support the entire C# language or .Net Framework. Main known limitations are
Heap allocation (new A()) from device thread (except for arrays)
System.Collection is not supported
virtual generic functions are not supported
string type is only partially supported (they must be const)
SharedMatrix and cublas samples can fail on windows 8.1 for unknown reason.
NPP_ImageSegmentation fails because NPP library dropped support for some functions in version 12 of the library
Debugging and profiling
If debug information is available, the debugging can be performed from within the development environment, while running the optimized code on the target hardware; for example, a program written in C#, with a breakpoint in the cs file within Visual Studio can have that breakpoint hit and its local variables and object data explored while execution occurs on an NVIDIA GPU (see snapshot).
While providing automated default behavior, Hybridizer leaves full control to the developer at each phase, allowing the reuse of existing device-specific code, use of existing external libraries or custom handmade code snippets.
All of this flexibility does not come at the expense of performances loss. As our benchmark illustrate, code generated by the Hybridizer can perform as well as hand-written code.