Sparse-Dense Matrix Multiplication (SpMM) plays a key role in fields like machine learning, scientific simulations, and graph analytics. However, compared to Sparse Matrix-Vector Multiplication (SpMV) ...

We present a new method for accelerating matrix multiplication asymptotically. Thiswork builds on recent ideas of Volker Strassen, by using a basic trilinear form which is not a matrix product. We ...

Upon successful execution: Performance: In all tested configurations (matrix sizes, precisions, and hardware platforms), KAMI is expected to outperform cuBLAS, cuBLASDx, CUTLASS, MAGMA, and SYCL-Bench ...

Automatically Update Computed Tomography（CT） Papers Daily using Github Actions (Update Every 12th hours) - licurry30/CT-arxiv-daily ...