A Data-Center FPGA Acceleration Platform for Convolutional Neural Networks

17 Sep 2019Xiaoyu YuYuwei WangJie MiaoEphrem WuHeng ZhangYu MengBo ZhangBiao MinDewei ChenJianlin Gao

Intensive computation is entering data centers with multiple workloads of deep learning. To balance the compute efficiency, performance, and total cost of ownership (TCO), the use of a field-programmable gate array (FPGA) with reconfigurable logic provides an acceptable acceleration capacity and is compatible with diverse computation-sensitive tasks in the cloud... (read more)

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