AIBullisharXiv – CS AI · May 117/10
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EULER-ADAS: Energy-Efficient & SIMD-Unified Logarithmic-Posit Engine for Precision-Reconfigurable Approximate ADAS Acceleration
EULER-ADAS is a specialized neural compute engine that uses bounded-Posit arithmetic to accelerate Advanced Driver-Assistance Systems (ADAS) inference on edge devices. The architecture achieves up to 71.9% power reduction and 10x better energy efficiency compared to conventional Posit implementations while maintaining near-FP32 accuracy, demonstrating practical viability for real-time autonomous driving applications.