The CUDA computing platform enables the acceleration of CPU-only applications to run on the world’s fastest massively parallel GPUs. Experience C/C++ application acceleration by: Accelerating CPU-only applications to run their latent parallelism on GPUs Utilizing essential CUDA memory management techniques to optimize accelerated applications Exposing accelerated application potential for concurrency and exploiting it with CUDA […]

Python is the Lingua Franca of Data today and is being increasingly used in scientific computations. This workshop introduces Python GPU tools for porting and writing code that runs on GPUs. The primary tools, Numba and CuPy, are presented with examples. This workshop is presented by Kristopher Keipert of NVIDIA. This event is open to […]