Efficient Implementations of Reduced Precision Redundancy (RPR) Multiply and Accumulate (MAC).

IEEE Transactions on Computers(2019)

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摘要
Multiply and Accumulate (MAC) is one of the most common operations in modern computing systems. It is for example used in matrix multiplication and in new computational environments such as those executed on neural networks for deep machine learning. MAC is also used in critical systems that must operate reliably such as object recognition for vehicles. Therefore, MAC implementations must be able ...
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关键词
Redundancy,Tunneling magnetoresistance,Neural networks,Adders,Discrete cosine transforms,Machine learning
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