Accelerate Dense Matrix Multiplication on Heterogeneous-GPUs | |
Sun, Jianan1,2; Liao, Mingxue1; Chao, Yongyue1,2; Lv, Pin1 | |
2023-12 | |
会议日期 | 2023-12 |
会议地点 | Ocean Flower Island, Hainan, China |
英文摘要 | Matrix multiplication is crucial in scientific computing, but it demands substantial resources. We propose a framework for effectively utilizing heterogeneous GPUs to large matrix multiplication. By splitting matrices into small blocks and using Douglas’s variant of Strassen’s algorithm, we enable concurrent tasks on heterogeneous systems. Our framework improves speed by 89.5% on homogeneous GPU servers and by 108% in multi-server heterogeneous GPU setups. |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/56571] ![]() |
专题 | 复杂系统认知与决策实验室 |
通讯作者 | Liao, Mingxue |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences. 2.School of Artificial Intelligence, University of Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Sun, Jianan,Liao, Mingxue,Chao, Yongyue,et al. Accelerate Dense Matrix Multiplication on Heterogeneous-GPUs[C]. 见:. Ocean Flower Island, Hainan, China. 2023-12. |
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