A Novel Memory-Scheduling Strategy for Large Convolutional Neural Network on Memory-Limited Devices
المؤلفون المشاركون
Dou, Yong
Li, Shijie
Shen, Xiaolong
Ni, Shice
Xu, Jinwei
Yang, Ke
Wang, Qiang
Niu, Xin
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-04-28
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Recently, machine learning, especially deep learning, has been a core algorithm to be widely used in many fields such as natural language processing, speech recognition, object recognition, and so on.
At the same time, another trend is that more and more applications are moved to wearable and mobile devices.
However, traditional deep learning methods such as convolutional neural network (CNN) and its variants consume a lot of memory resources.
In this case, these powerful deep learning methods are difficult to apply on mobile memory-limited platforms.
In order to solve this problem, we present a novel memory-management strategy called mmCNN in this paper.
With the help of this method, we can easily deploy a trained large-size CNN on any memory size platform such as GPU, FPGA, or memory-limited mobile devices.
In our experiments, we run a feed-forward CNN process in some extremely small memory sizes (as low as 5 MB) on a GPU platform.
The result shows that our method saves more than 98% memory compared to a traditional CNN algorithm and further saves more than 90% compared to the state-of-the-art related work “vDNNs” (virtualized deep neural networks).
Our work in this paper improves the computing scalability of lightweight applications and breaks the memory bottleneck of using deep learning method on memory-limited devices.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Shijie& Shen, Xiaolong& Dou, Yong& Ni, Shice& Xu, Jinwei& Yang, Ke…[et al.]. 2019. A Novel Memory-Scheduling Strategy for Large Convolutional Neural Network on Memory-Limited Devices. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1129454
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Shijie…[et al.]. A Novel Memory-Scheduling Strategy for Large Convolutional Neural Network on Memory-Limited Devices. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1129454
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Shijie& Shen, Xiaolong& Dou, Yong& Ni, Shice& Xu, Jinwei& Yang, Ke…[et al.]. A Novel Memory-Scheduling Strategy for Large Convolutional Neural Network on Memory-Limited Devices. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1129454
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1129454
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر