{"id":21382968,"url":"https://github.com/isquicha/cuda-parallel-studies","last_synced_at":"2025-07-03T15:04:56.042Z","repository":{"id":107237710,"uuid":"310217551","full_name":"isquicha/cuda-parallel-studies","owner":"isquicha","description":"Learning CUDA programming here =D","archived":false,"fork":false,"pushed_at":"2020-11-05T13:03:48.000Z","size":4,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-06-04T00:33:45.160Z","etag":null,"topics":["cuda","cuda-programming","cuda-toolkit"],"latest_commit_sha":null,"homepage":"","language":"Cuda","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/isquicha.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2020-11-05T07:10:10.000Z","updated_at":"2020-11-05T13:03:50.000Z","dependencies_parsed_at":null,"dependency_job_id":"28edb65f-6d25-4e5d-b0d5-ba9be35cf964","html_url":"https://github.com/isquicha/cuda-parallel-studies","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/isquicha/cuda-parallel-studies","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/isquicha%2Fcuda-parallel-studies","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/isquicha%2Fcuda-parallel-studies/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/isquicha%2Fcuda-parallel-studies/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/isquicha%2Fcuda-parallel-studies/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/isquicha","download_url":"https://codeload.github.com/isquicha/cuda-parallel-studies/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/isquicha%2Fcuda-parallel-studies/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":263347918,"owners_count":23452865,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cuda","cuda-programming","cuda-toolkit"],"created_at":"2024-11-22T11:04:26.010Z","updated_at":"2025-07-03T15:04:56.033Z","avatar_url":"https://github.com/isquicha.png","language":"Cuda","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Cuda Parallel Programming Studies\n\n## Description\nMy GPU was expensive, so I have to use it.  \nAs I can't be angry only with games, I'm becoming upset with C++ and memory allocation again, after some good months with Python.  \nLearning CUDA programming here =D\n\n## Information\nThe .cu files are basically .cpp with some CUDA syntax.  \nIn CUDA context, Host = CPU and Device = GPU.  \nVariables with a `h` in the name are host's variables. \nThe ones with an `d` are device's variables.  \nThe CUDA headers (.h files) are on `CUDA Toolkit installation folder/include`.\n\n\n## How to run\n### Requirements\n- A NVIDIA GPU (I have a GTX 1050 Ti)\n- Install CUDA Toolkit (remember to read the toolkit installation requirements\n  - [Windows](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html)\n  - [Linux](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html)\n\n### Steps to run\n- Download the .cu file or `git clone` this repository\n- Compile your `.cu` with `nvcc`\n  - `nvcc myfile.cu`\n- Run the generated file\n  - Windows: `a.exe`\n  - Linux (not tested): `./a.out`\n\n## Content\n|      Project       |                               Description                               |\n| :----------------: | :---------------------------------------------------------------------: |\n| [00](src/00/00.cu) | Basic vector adder, with CPU vs GPU comparison (a kind of hello world). |\n|         01         |                              To implement                               |\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fisquicha%2Fcuda-parallel-studies","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fisquicha%2Fcuda-parallel-studies","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fisquicha%2Fcuda-parallel-studies/lists"}