CIM-Blocks: A Synthesizable Multi-Precision Compute-in-Memory CGRA with Bit-Serial Data Reuse
Neural networks (NN) for edge AI require efficient execution to balance performance, power, and flexibility. Since NN models evolve rapidly and exhibit different quantization sensitivities, accelerator architectures must support multiple precisions and convolution structures while maintaining energy efficiency. Coarse-...