So far in the CUDA Python mini-series on CUDACasts, I introduced you to using the decorator and CUDA libraries, two different methods for accelerating code using NVIDIA GPUs. In today��s CUDACast, I��ll be demonstrating how to use the NumbaPro compiler from Continuum Analytics to write CUDA Python code which runs on the GPU. In CUDACast #12, we��ll continue using the Monte Carlo options pricing��
]]>