{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/cnndroid-gpu-accelerated-execution-of-trained","title":"CNNdroid: GPU-Accelerated Execution of Trained Deep Convolutional Neural Networks on Android","arxiv_id":"1511.07376","date":"2015-11-23","proceeding":null,"authors":["Seyyed Salar Latifi Oskouei","Hossein Golestani","Matin Hashemi","Soheil Ghiasi"],"abstract":"Many mobile applications running on smartphones and wearable devices would\npotentially benefit from the accuracy and scalability of deep CNN-based machine\nlearning algorithms. However, performance and energy consumption limitations\nmake the execution of such computationally intensive algorithms on mobile\ndevices prohibitive. We present a GPU-accelerated library, dubbed CNNdroid, for\nexecution of trained deep CNNs on Android-based mobile devices. Empirical\nevaluations show that CNNdroid achieves up to 60X speedup and 130X energy\nsaving on current mobile devices. The CNNdroid open source library is available\nfor download at https://github.com/ENCP/CNNdroid","url_abs":"http://arxiv.org/abs/1511.07376v2","url_pdf":"http://arxiv.org/pdf/1511.07376v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"cnndroid-gpu-accelerated-execution-of-trained","repo_url":"https://github.com/ENCP/CNNdroid","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"caffe2","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":null,"task_name":"GPU"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1511.07376","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}