benchmarking - BLAS 库基准

Question

是否有比较不同 BLAS（基本线性代数子程序）库的基准？我对单核和多核系统的稀疏矩阵乘法特别感兴趣？

Answer 1

BLAS performance is very much system dependent, so you'll best do the benchmarks yourself on the very machine you want to use. Since there are only a few BLAS implementations, that is less work than it sounds (normally the hardware vendors implementation, ATLAS and the GOTO BLAS).

But note that BLAS only covers dense matrices, so for sparse matrix multiplication you'll need Sparse-BLAS or some other code. Here performance will differ not only depending on hardware but also on the sparse format you want to use and even on the type of matrix you are working with (things like sparsity pattern, bandwidth etc. matter). So even more than in the dense case, if you need maximum performance you will need to do your own benchmarks.