Abstract:<p>In-Memory Computation(IMC) of Neural-Network(NN) inference is done by performing the Multiply-ACcumulate(MAC) operation in the analog domain. Parallelly digitising MAC voltages by fitting Analog to Digital Converters(ADCs) within dense memory-pitches is a fundamental challenge for IMC engines. IMC works thus far rely on clipping the MAC-PDF to reduce the dynamic range, reducing the per data-line(DL) ADC precision requirement. In this work, we show that the per-DL ADC precision can be reduced even furt… Show more
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