CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs.
A fast poisson image editing implementation that can utilize multi-core CPU or GPU to handle a high-resolution image input.
A CLI tool which lets you install proprietary NVIDIA drivers and much more easily on Fedora Linux (32 or above and Rawhide)
Webcam Image Processing with CUDA using OpenCV
Let's jump into CUDA development with Rust
Convenient `build.rs` helper for NVPTX crates
The missing puzzle piece for NVPTX experience with Rust
Experiments with achieving better ergonomics in Rust CUDA workflow
Matrix multiplication example performed with OpenMP, OpenACC, BLAS, cuBLABS, and CUDA
Complete examples of the cublasLt libraries. More information can be found in Section 3 of the CUBLAS programming guide. https://docs.nvidia.com/cuda/pdf/CUBLAS_Library.pdf or https://docs.nvidia.com/...