Dense-dense matrix multiplication involves two matrices where most or all elements are non-zero. This operation is computationally intensive and benefits significantly from parallel processing and ...

In this work, we propose an inverse-designed photonic computing core for parallel matrix-vector multiplication. The matrices are implemented through a mode conversion process, where the input ...

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 ...