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.

SAN JOSE, CA--(Marketwire - Mar 18, 2013) - GTC 2013-- The growing ranks of programmers using the Python open-source language can now take full advantage of GPU acceleration for their high performance ...

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 ...

Have you wanted to get into GPU programming with CUDA but found the usual textbooks and guides a bit too intense? Well, help is at hand in the form of a series of increasingly difficult programming ...

Microsoft has released the March 2020 update for its Visual Studio Code (VS Code) open-source code editor for Windows 10, macOS, and Linux systems with bug fixes, accessibility improvements, better ...