iCELIA: A Full-Stack Framework for STT-MRAM-Based Deep Learning Acceleration.

IEEE Transactions on Parallel and Distributed Systems(2020)

引用 25|浏览164
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摘要
A large variety of applications rely on deep learning to process big data, learn sophisticated features, and perform complicated tasks. Utilizing emerging non-volatile memory (NVM)'s unique characteristics, including the crossbar array structure and gray-scale cell resistances, to perform neural network (NN) computation is a well-studied approach in accelerating deep learning applications. Compare...
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关键词
Deep learning,Nonvolatile memory,Computer architecture,Acceleration,Artificial neural networks,Resistance,Microprocessors
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