Talk GTC 2014 – Hybridizer: Develop in Dot Net – Debug and Execute on GPU

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.

see it at GTC On-Demand — ID S4376