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Engineering Approximate Computations | Michael Carbin
When Dataflows Converge Reconfigurable and Approximate Computing for Emerging Neural Networks
FPU Bit-Width Optimization for Approximate Computing: A Non-Intrusive Approach
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EASE: Energy Optimization by Adaptation - A Review Energy Aware Approximate Deep Learning Models
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An Efficient BCNN deployment Method using Quality-aware Approximate Computing
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L2a Approximate Computing Background Slides 26 to End
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Last Updated: August 24, 2026
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