首页|期刊导航|大数据挖掘与分析（英文版）|Leveraging Large-Scale Data for Efficient Low-Bit CUTLASS GEMM Optimization via Neural Networks
大数据挖掘与分析（英文版）2026，Vol.9Issue(2)：632-652,21.DOI:10.26599/BDMA.2025.9020065
Leveraging Large-Scale Data for Efficient Low-Bit CUTLASS GEMM Optimization via Neural Networks
Leveraging Large-Scale Data for Efficient Low-Bit CUTLASS GEMM Optimization via Neural Networks
摘要
关键词
Low-bit GEneral Matrix Multiplication(GEMM)/CUTLASS optimization/neural network/auto-tuning/Tensor Cores/tile and pipeline/large-scale datasetKey words
Low-bit GEneral Matrix Multiplication(GEMM)/CUTLASS optimization/neural network/auto-tuning/Tensor Cores/tile and pipeline/large-scale dataset引用本文复制引用
Hong Guo,Nianhui Guo,Christoph Meinel,Haojin Yang..Leveraging Large-Scale Data for Efficient Low-Bit CUTLASS GEMM Optimization via Neural Networks[J].大数据挖掘与分析（英文版）,2026,9(2):632-652,21.基金项目
This work was supported by the Federal Ministry of Research,Technology and Space under the funding code"KI-Servicezentrum Berlin-Brandenburg"16IS22092.Responsibility for the content of this publication remains with the author. （）
