{"id":19458789,"url":"https://github.com/lchsk/ney","last_synced_at":"2025-02-25T11:43:04.701Z","repository":{"id":35359603,"uuid":"39622313","full_name":"lchsk/ney","owner":"lchsk","description":"A header-only parallel functions library for Intel Xeon/Xeon Phi/GPUs","archived":false,"fork":false,"pushed_at":"2015-09-21T10:03:55.000Z","size":2504,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-01-08T01:56:13.184Z","etag":null,"topics":["cuda","gpu","linux","parallel","phi","scientific","xeon","xeonphi"],"latest_commit_sha":null,"homepage":"","language":"C++","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/lchsk.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}},"created_at":"2015-07-24T09:03:39.000Z","updated_at":"2024-10-17T13:01:44.000Z","dependencies_parsed_at":"2022-09-20T18:38:34.331Z","dependency_job_id":null,"html_url":"https://github.com/lchsk/ney","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lchsk%2Fney","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lchsk%2Fney/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lchsk%2Fney/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lchsk%2Fney/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/lchsk","download_url":"https://codeload.github.com/lchsk/ney/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240662979,"owners_count":19837371,"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","gpu","linux","parallel","phi","scientific","xeon","xeonphi"],"created_at":"2024-11-10T17:28:33.103Z","updated_at":"2025-02-25T11:43:04.641Z","avatar_url":"https://github.com/lchsk.png","language":"C++","readme":"## Build status\n\n\n| [Linux][lin-link] | [Coveralls][cov-link] |\n| :---------------: | :-------------------: |\n| ![lin-badge]      | ![cov-badge]          |\n\n[lin-badge]: https://travis-ci.org/lchsk/ney.png?branch=master \"Travis build status\"\n[lin-link]:  https://travis-ci.org/lchsk/ney \"Travis build status\"\n[cov-badge]: https://coveralls.io/repos/lchsk/ney/badge.png?branch=master\n[cov-link]:  https://coveralls.io/r/lchsk/ney?branch=master\n\n\n## How to Download\n1. Download source code with git by using a command:\n`git clone https://github.com/lchsk/ney.git --recursive`\n\n(`--recursive` option will download submodules (Google Test, Thrust) into the `thirdparty` directory)\n\n## Compilation\nIn order to compile the library, a C++ compiler must be present. Intel C++ Compiler is advised (versions 14 and 15 were used) to exploit all features of the library. For testing purposes, GNU C++ Compiler (`g++`) may be used as well (at least version 4.6.3).\n\nFor compiling code for GPUs, please see paragraph `Running examples on GPU`\n\n**Note: the library is designed to work on Linux. Its behaviour on other systems is undefined. Testing was done on the following distributions: Ubuntu 14.04, Scientific Linux 6.3.**\n\n## Running examples on CPU\n1. Enter downloaded directory\n2. `make example`\n3. `cd examples`\n4. Run a selected executable, e.g., `./saxpy`\n\n## Running examples on GPU\n**Note that in order to run anything on the GPU, CUDA toolkit must be installed. It can be downloaded from https://developer.nvidia.com/cuda-toolkit**\n\n1. Enter downloaded directory\n2. `cd examples`\n3. `cd gpu`\n4. `make saxpy`\n4. If you run the executable: `./saxpy`, it will run on the GPU\n\n## Running tests\n1. Enter downloaded directory\n2. `make \u0026\u0026 make tests`\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flchsk%2Fney","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flchsk%2Fney","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flchsk%2Fney/lists"}