Runtime Efficiency-Accuracy Tradeoff Using Configurable Floating Point Multiplier
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, pp. 346-358, 2020.
Many applications, such as machine learning and sensor data analysis, are statistical in nature and can tolerate some level of inaccuracy in their computation. Approximate computing is a viable method to save energy and increase performance by controllably trading off energy for accuracy. In this paper, we propose a tiered approximate flo...More
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