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cs.AR2018
Medusa: A Scalable Interconnect for Many-Port DNN Accelerators and Wide DRAM Controller Interfaces
Yongming Shen, Tianchu Ji, Michael Ferdman +1
To cope with the increasing demand and computational intensity of deep neural networks (DNNs), industry and academia have turned to accelerator technologies. In particular, FPGAs h…
cs.AR2016★ 2 cited
Maximizing CNN Accelerator Efficiency Through Resource Partitioning
Yongming Shen, Michael Ferdman, Peter Milder
Convolutional neural networks (CNNs) are revolutionizing machine learning, but they present significant computational challenges. Recently, many FPGA-based accelerators have been p…