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Approximate/inexact computing has become an attractive approach for designing high performance and low power arithmetic circuits. Floating-point (FP) arithmetic is required in many applications, such as digital signal processing and machine learning. Different approximate FP multipliers are proposed in this paper, the accuracy and the circuit requirements of these designs are assessed to select the...
Power has become a key constraint in nanoscale integrated circuit design due to the increasing demands for mobile computing and higher integration density. As an emerging computational paradigm, an inexact circuit offers a promising approach to significantly reduce both dynamic and static power dissipation for error-tolerant applications. In this paper, an inexact floating-point adder is proposed...
Power has become a key constraint in current nanoscale integrated circuit design due to the increasing demands for mobile computing and a low carbon economy. As an emerging technology, an inexact circuit design offers a promising approach to significantly reduce both dynamic and static power dissipation for error tolerant applications. Although fixed-point arithmetic circuits have been studied in...
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