Multiplying matrices is among the most fundamental and compute-intensive operations in machine learning. Approximated Matrix Multiplication (AMM) based on table look-ups can significantly reduce the ...

In this paper, we propose GAS, a general-purpose IMC accelerator for sparse matrix multiplication. GAS integrates non-volatile memory based content-addressable memory (CAM) arrays and multiply-add ...