Bit Slice

Bit slicing is a technique that processes data one bit (or trit) at a time, offering significant advantages in efficiency and energy consumption for deep neural networks (DNNs). Current research focuses on optimizing bit-slice architectures for both binary and higher-precision DNNs, including exploring efficient encoding schemes like bit-plane and trit-plane slicing, and developing specialized hardware architectures to exploit the inherent sparsity within bit-sliced representations. This approach holds considerable promise for accelerating DNN inference on resource-constrained devices like mobile SoCs, improving performance and reducing energy consumption in various applications.