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Susan Jenova J

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Conference Jul 2026

Entropy-Aware Self-Optimizing Approximate Multiplier using Operand Distribution Learning

The traditional approximations of multipliers are based on the modes of approximation that are considered to be static or on the accuracy scaling that is controlled externally, and thus, they cannot be used with dynamically changing workloads. This paper suggests an Entropy-Aware Self-Optimizing Approximate Multiplier...

A. Pasupathy, Thiruvenkadam Krishnan, Susan Jenova J et al. · 0 citations

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