Abstract: Sparse-Dense Matrix Multiplication (SpMM) on GPUs has gained significant attention because of its importance in modern applications and the increasing computing power of GPUs in the last ...

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This project implements high-performance single-precision matrix multiplication in NASM using SIMD instructions (xmm and ymm registers). It is designed for benchmarking and understanding ...

This repository contains the CUDA kernels for general matrix-matrix multiplication (GEMM) and the corresponding performance analysis. The correctness of the CUDA kernels is guaranteed for any matrix ...

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Qualcomm's ' Snapdragon X Elite ' is a PC SoC equipped with 12 'Qualcomm Oryon' CPU cores with a maximum speed of 3.8GHz, a 'Qualcomm Adreno' GPU with a maximum speed of 4.6TFLOPs, and a 'Qualcomm ...

Abstract: Sparse matrix-matrix multiplication is a critical kernel for several scientific computing applications, especially the setup phase of algebraic multigrid. The MPI+X programming model, which ...