{ "acm_badges": { "available": "yes", "functional": "yes", "replicated": "yes", "reproduced": "", "reusable": "yes" }, "artifact_doi": "https://doi.org/10.1145/3229773", "ck_repo_results": "ck-request-asplos18-results-mobilenets-armcl-opencl", "ck_results": "https://github.com/ctuning/ck-request-asplos18-results-mobilenets-armcl-opencl", "ck_workflow": "https://github.com/dividiti/ck-request-asplos18-mobilenets-armcl-opencl", "copyright_holder_name": "dividiti", "copyright_holder_year": "2018", "dois": [ { "name": "- CK workflow [FigShare]", "url": "https://doi.org/10.6084/m9.figshare.6001961.v1" }, { "name": "- CK results [Zenodo]", "url": "https://doi.org/10.5281/zenodo.1203659" } ], "html": "", "interactive_report": "08da9685582866a0", "keywords": [ "MobileNets", "Collective Knowledge", "performance", "accuracy", "system co-design", "reproducible experimentation", "customizable workflows", "autotuning", "crowdtuning", "live scoreboard" ], "license": "authors' code and CK workflow are available under BSD 3-clause license", "original_repo": "", "paper_doi": "https://doi.org/10.1145/3229762.3229767", "repos": [ { "name": "CK workflow", "url": "https://github.com/dividiti/ck-request-asplos18-mobilenets-armcl-opencl" }, { "name": "- Docker 1", "url": "https://hub.docker.com/r/ctuning/request-asplos18-mobilenets-armcl-opencl-ubuntu-16.04-py27" }, { "name": "- Docker 2", "url": "https://hub.docker.com/r/ctuning/request-asplos18-mobilenets-armcl-opencl-ubuntu-16.04-py27-py35" }, { "name": "- Docker 3", "url": "https://hub.docker.com/r/ctuning/request-asplos18-mobilenets-armcl-opencl-ubuntu-16.04-py35" }, { "name": "CK results", "url": "https://github.com/ctuning/ck-request-asplos18-results-mobilenets-armcl-opencl" } ], "tags": [ "request-tournament", "request-asplos18" ] }
{}