Mali-T604 GPU的二维浮点矩阵运算并行优化方法  

Parallel Optimization Method of 2D Floating-point Matrix Operation Based on Mali-T604 GPU

作　　者：龚若皓 杨斌[1] 

机构地区：[1]西南交通大学信息科学与技术学院,成都610031

出　　处：《单片机与嵌入式系统应用》2015年第5期43-46,共4页Microcontrollers & Embedded Systems

摘　　要：基于以三星的Exynos5250处理器为核心的Arndale Board嵌入式开发平台,对集成于处理器上的Mali-T604嵌入式GPU的GPGPU(General-Purpose computation on GPU)技术进行研究,并对不同运算规模的浮点矩阵乘法进行并行加速优化,提供实际测试结果。Linux操作系统上的实验结果显示,基于Mali GPU的并行浮点矩阵乘法方案相对原始串行算法而言,效率显著提高,并且运算规模的增大可以显著提高并行性。The paper researches the applied method and practical effect of GPGPU technology based on Arndale Board platform which a-dopts Exynos5250 as core processor and designs the parallel optimizing solution for different scale of matrix multiplication problems based on GPGPU technology applied on Mali-T604 GPU which is integrated in Exynos5250 processor.The result of experiment on Linux OS shows that the computational efficiency of parallel matrix multiplication solution is improved significantly,and when the size of com-puting scale is vast,the improving effect is much more obvious.

关 键 词：ARM CORTEX-A15 MALI GPU GPGPU技术 Arndale Board开发平台 OPENCL Exynos5250 

分 类 号：TP332[自动化与计算机技术—计算机系统结构] TP338.6[自动化与计算机技术—计算机科学与技术]