GitHub - jiyak12/Dense-Sparse-Matrix-Multiplication: This project implements a high-speed matrix-matrix multiplication module in C/C++, optimized with multi-threading, SIMD, and cache miss ...

Fused3S is a CUDA kernel library that accelerates sparse attention by fusing Sampled Dense-Dense Matrix Multiplication (SDDMM), Softmax, and Sparse Matrix Multiplication (SpMM) into a single optimized ...

Sparse-Sparse matrix multiplication (SpMSpM) is a critical computation in various fields such as computational science and graph analysis. It poses computational challenges for general-purpose CPUs ...

SpMV: Sparse Matrix–Vector Multiplication, a core operation in many numerical algorithms where a sparse matrix is multiplied by a vector.

Sparse matrix computations are prevalent in many scientific and technical applications. In many simulation applications, the solving of the sparse matrix-vector multiplication (SpMV) is critical for ...

Therefore, sparse matrix multiplication is the most time-consuming step in the density matrix purification algorithm for linear-scaling DFT calculations. We propose to use the MPI_Allgather function ...

In particular, we extend the DBCSR sparse matrix library, which is the basic building block for linear scaling electronic structure theory and low scaling correlated methods in CP2K. The library is ...

Real PIM systems can provide high levels of parallelism, large aggregate memory bandwidth and low memory access latency, thereby being a good fit to accelerate the widely-used, memory-bound Sparse ...