SYNTHNET: A High-throughput yet Energy-efficient Combinational Logic Neural Network

2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)(2022)

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Abstract
In combinational logic neural networks (CLNNs), neurons are realized as combinational logic circuits or look-up tables (LUTs). They make make extremely low-latency inference possible by performing the computation with pure hardware without loading weights from the memory. The high throughput, however, is powered by massively parallel logic circuits or LUTs and hence comes with high area occupancy ...
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Key words
Energy consumption,Neurons,Redundancy,Artificial neural networks,Throughput,Energy efficiency,Systolic arrays
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