GPU computing performance and capabilities have improved at an unprecedented pace. CUDA dramatically reduced the learning curve to GPU usage for general purpose computing. The Hybridizer takes a step further in enabling GPUs in other development ecosystems (C#, java, dot net) and execution platforms (Linux, Windows, Excel). Transforming dot net binaries into CUDA source code, the Hybridizer is your in house GPU guru. With a growing number of features including virtual functions, generics and more, the Hybridizer also offers number of coding features for the multi- and many-core architectures, while making use of advanced optimization features like AVX and ILP.