Applying quantization-aware training with column-wise scale factors for both weights and partial sums improves CIM accelerator accuracy by 0.99 to 2.69 percentage points over reported baselines.
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Column-wise Quantization of Weights and Partial Sums for Accurate and Efficient Compute-In-Memory Accelerators
Applying quantization-aware training with column-wise scale factors for both weights and partial sums improves CIM accelerator accuracy by 0.99 to 2.69 percentage points over reported baselines.