DeepTrain: A Programmable Embedded Platform for Training Deep Neural Networks.

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems(2018)

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摘要
This paper presents, DeepTrain, an embedded platform for high-performance and energy-efficient training of deep neural network (DNN). The key architectural concept of DeepTrain is to develop a spatially homogeneous computing (and memory) fabric with temporally heterogeneous programmable data flows to optimize memory mapping and data reuse during different phases of training operation.The DeepTrain...
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关键词
Training,Random access memory,Kernel,Convolution,Computer architecture,Programming,Data models
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