This is an adapted version of one delivered internally at NVIDIA - its primary audience is those who are familiar with CUDA C/C++ programming, but perhaps less so with Python and its ecosystem. That ...

Every few years or so, a development in computing results in a sea change and a need for specialized workers to take advantage of the new technology. Whether that’s COBOL in the 60s and 70s, HTML in ...

In this video from the ECSS Symposium, Abe Stern from NVIDIA presents: CUDA-Python and RAPIDS for blazing fast scientific computing. We will introduce Numba and RAPIDS for GPU programming in Python.

Tutorials should be focused on covering a well-defined topic in a hands-on manner. We want to see attendees coding! We encourage submissions to be designed to allow at least 50% of the time for ...

NVIDIA introduces cuda.cccl, bridging the gap for Python developers by providing essential building blocks for CUDA kernel fusion, enhancing performance across GPU architectures. NVIDIA has unveiled a ...

NVIDIA launches Wheel Variants to streamline CUDA-accelerated Python package installation, addressing compatibility challenges and optimizing user experience across diverse hardware setups. NVIDIA has ...

Nvidia has placed Warp under an Apache 2 license. The Python framework is used for performance-hungry physical simulations, data generation and spatial computing. It compiles Python functions just in ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...