Numbast introduces an automated pipeline to convert CUDA C++ APIs into Numba bindings, enhancing Python developers' access to CUDA's performance. The technological gap between Python developers and ...
This repository and course provide an in-depth introduction to the Fundamentals of Accelerated Computing with CUDA Python, offered by NVIDIA's Deep Learning Institute (DLI). The course is designed to ...
--n_mines int 40 Number of mines in the environment. --flag_x int 31 X-coordinate of the goal position. --flag_y int 31 Y-coordinate of the goal position. --episodes int 20000 Number of episodes to ...
NVIDIA launches Wheel Variants to streamline CUDA-accelerated Python package installation, addressing compatibility challenges and optimizing user experience across diverse hardware setups. NVIDIA has ...
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 ...
At the conclusion of the workshop, you’ll have an understanding of the fundamental tools and techniques for GPU-accelerated Python applications with CUDA and Numba: GPU-accelerate NumPy ufuncs with a ...
This workshop teaches you the fundamental tools and techniques for running GPU-accelerated Python applications using CUDA® GPUs and the Numba compiler. GPU-accelerated NumPy ufuncs with a few lines of ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback