SSmallStar/cudpp
CUDA Data Parallel Primitives Library
This repository contains easy-to-read Python/CUDA implementations of fundamental GPU computing primitives: map, reduce, prefix sum (scan), split, radix sort, and histogram. I use these primitives to construct easy-to-read Python/CUDA implementations of the following image processing operations: Gaussian blurring, bilateral filtering, histogram equalization, red-eye removal, and seamless image cloning.
Public repository record indexed from GitHub. Explore verified star velocity metrics, source code repositories, and curated developer tool directories across the GitHubRepo ecosystem.
CUDA Data Parallel Primitives Library
the update from the PC
test
My first repository for basic learning