{"repository":{"description":"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.","homepage":"","watchers":2,"stargazers":2,"forks":2,"fork":false,"size":168,"owner":"mroberts3000","private":false,"open_issues":0,"has_issues":true,"has_downloads":true,"has_wiki":true,"language":"Python","created_at":"2013-06-24T00:05:55-07:00","pushed_at":"2013-09-07T14:37:40-07:00","master_branch":"master"},"actor_attributes":{"type":"User","name":"Nik Yotis","company":"","blog":"","location":"London","email":"da39a3ee5e6b4b0d3255bfef95601890afd80709"},"url":"https://github.com/nyiotis/GpuComputing"}