摘要
用Linpack测试集测试了计算机系统浮点性能,测试用函数运算库为Goto BLAS库。该库对Linpach的测试结果有很大影响。为了提高Goto BLAS性能,观察了Goto BLAS库在龙芯3A2000处理器平台的性能表现,分析了测试软件的执行流程、数据的处理方法,根据处理器的结构特点,合理配置矩阵分块参数,优化核心循环的实现方案,同时采用软硬件数据预取技术及优化的内核TLB配置策略。在这些优化方法的共同作用下,仿真平台上核心函数的浮点部件效率超过90%。优化方案在本实验中取得了显著的效果。
Linpack was applied to evaluation of the performance of a computer system,and the Goto BLAS library was used as the function operation library. The performance of the library has a large impact on Linpack test results. To achieve its high performance,the study observed the performance expression of the Goto BLAS library on the Loongson 3A2000 processor,and analyzed the testing software＇s execution flow and data processing methods,and then,according to the structural features of the processor,reasonably allocated the block matrix and optimized the scheme for implementation of the core loop in the function. Meanwhile,the data-fetching technologies of software and hardware,and the optimized TLB configuration schemes were adopted. With the combined effects of these optimizations,the efficiency of float point component on the simulation platform reached more than 90%,which means the optimization schemes achieved the significant results in this experiment.
出处
《高技术通讯》
CAS
CSCD
北大核心
2016年第10期825-832,共8页
Chinese High Technology Letters
基金
"核高基"科技重大专项课题(2014ZX01020201)
863计划(2012AA012202
2013AA014301)资助项目
