advanced-computer-vision-framework/ ├── src/ │ ├── cuda/ # Custom CUDA kernels │ ├── tracking/ # Multi-object tracking │ ├── features/ # Feature extraction │ ├── layers/ # Custom neural network layers ...

Abstract: The first release of CUDA was in 2007. Since then, we have experienced frequent new releases. CUDA reached its max performance with CUDA 4.0. Since its release, NVIDIA has started a ...

JIT fusion is a new, optional feature with tiny-cuda-nn v2.0 and later. It is almost always recommended to enable automatic JIT fusion for a performance boost of 1.5x to 2.5x, depending on the model ...

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 ...

In this special guest feature from Scientific Computing World, Robert Roe investigates AMD’s new suite of open-source tools that convert code from CUDA into C++. As HPC clusters and software increase ...

Nvidia may be best-known for its GPUs, but the company's CUDA software architecture is the driving force behind the company's dominance. By offering a comprehensive ecosystem across hardware and ...