مقاله طراحی شتاب دهنده کم مصرف برای شبکه های عصبی با استفاده مجدد از محاسبات

عنوان مقاله فارسی: طراحی شتاب دهنده کم مصرف برای شبکه های عصبی با استفاده مجدد از محاسبات عنوان مقاله لاتین: Power-Efficient Accelerator Design for Neural Networks Using Computation Reuse نویسندگان: Ali Yasoubi; Reza Hojabr; Mehdi Modarressi تعداد صفحات: 3 سال انتشار: 2017 زبان: لاتین Abstract: Applications of neural networks in various fields of research and technology have expanded widely in recent years. In particular, applications with inherent tolerance to accuracy loss, such as signal processing and multimedia applications, are highly suited to the approximation property of neural networks. This approximation property has been exploited in many existing neural network accelerators to trade-off accuracy for power-efficiency and speed. In addition to the power saving obtained by approximation, we