Feedforward-Cutset-Free Pipelined Multiply-Accumulate Unit for the Machine Learning Accelerator.

IEEE Transactions on Very Large Scale Integration (VLSI) Systems(2019)

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摘要
Multiply-accumulate (MAC) computations account for a large part of machine learning accelerator operations. The pipelined structure is usually adopted to improve the performance by reducing the length of critical paths. An increase in the number of flip-flops due to pipelining, however, generally results in significant area and power increase. A large number of flip-flops are often required to mee...
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关键词
Pipeline processing,Clocks,Adders,Machine learning,Delays,Power demand,Finite impulse response filters
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