CARMEN delivers a CORDIC-based multi-precision vector engine achieving up to 33% fewer computation cycles and 21% power savings per MAC in 28 nm ASIC while supporting 8/16-bit flexible precision for deep learning inference.
Designing Novel AAD Pooling in Hardware for a Convolutional Neural Network Ac- celerator,
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CARMEN: CORDIC-Accelerated Resource-Efficient Multi-Precision Inference Engine for Deep Learning
CARMEN delivers a CORDIC-based multi-precision vector engine achieving up to 33% fewer computation cycles and 21% power savings per MAC in 28 nm ASIC while supporting 8/16-bit flexible precision for deep learning inference.