SGEMM
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/Helmholtz-AI-Energy/f3
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资源简介：
该数据集旨在预测在GPU上稀疏矩阵-矩阵乘法运算的运行时间。此外，SGEMM数据集有助于评估在GPU计算中执行矩阵操作的性能。所涉及的任务类型为回归分析。
This dataset is designed to predict the runtime of sparse matrix-matrix multiplication operations on GPUs. Additionally, the SGEMM dataset aids in evaluating the performance of matrix operations executed in GPU computing. The corresponding task falls into the category of regression analysis.
提供机构：
J. Nugteren and C. Codreanu
