使用SSE加速float 5x5矩阵*向量乘法 [英] Speed up float 5x5 matrix * vector multiplication with SSE

问题描述

我需要每秒进行240000次矩阵向量乘法.矩阵为5x5，并且始终相同，而向量在每次迭代时都会变化.数据类型为float.我当时正在考虑使用一些SSE(或类似的)指令.

I need to run a matrix-vector multiplication 240000 times per second. The matrix is 5x5 and is always the same, whereas the vector changes at each iteration. The data type is float. I was thinking of using some SSE (or similar) instructions.

1. 我担心算术运算的数量与所涉及的存储器运算的数量相比太少.您认为我可以得到一些明显的改善(例如> 20％)吗?

1. I am concerned that the number of arithmetic operations is too small compared to the number of memory operations involved. Do you think I can get some tangible (e.g. > 20%) improvement?

我需要英特尔编译器吗?

Do I need the Intel compiler to do it?

您能指出一些参考吗?

推荐答案

本征 C ++模板库，用于矢量，矩阵，...两者都有

The Eigen C++ template library for vectors, matrices, ... has both

• 用于固定大小小的矩阵(以及动态大小的矩阵)的优化代码

• optimised code for small fixed size matrices (as well as dynamically sized ones)

使用SSE优化的优化代码

optimised code that uses SSE optimisations

所以您应该尝试一下.

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