Adaptive digital-to-analog converter range optimization

Abstract

System and method for adaptively optimizing digital-to-analog converter input range values for improved signal-to-noise ratio for analog-in-memory computing (AIMC) systems. The method includes a step of tuning the input ranges of the digital-to-analog (DAC) converters of a “tile”, comprised of Processing Elements (PEs) in a crossbar arrangement, to minimize the matrix-vector-multiplication (MVM) error under the presence of some residual noise term that is applied to the output of the MVM. Alternatively, the method includes tuning the input ranges of the DAC converters to minimize the accuracy of a predefined task, e.g., a classification task, under the presence of some residual noise term applied to the output of each matrix-vector-multiplication. The DAC input value range is optimized with respect to a metric that depends on a residual noise source present in AIMC systems. In an embodiment, the system minimizes the error introduced by the residual noise and the quantization.

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