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This is a Quantitative Study study.

October 3, 2025Open Access

High Performance Matrix Multiplication

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This analysis compares matrix multiplication performance in high performance technologies, indicating CuBLAS is the fastest.

CuBLAS outperforms other algorithms for large square matrices, with a statistically significant p-value below 5e-12.
The study compares five matrix multiplication algorithms, assessing their performance using floating point operations per second.
Matrix multiplication serves as a cornerstone for high performance applications like deep learning and scientific simulations.
The algorithms analyzed include CuBLAS, CUDA, BLAS, OpenMP, and C++ Threads, evaluated with square matrices over 10,000 in size.

Ellery W. Davis (2025) studied this question.

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