w0130160 发表于 2020-1-10 21:21:22

如何设置使STM32CubeIDE所占用内存减小

STM32CubeIDE运行时所占内存很大。如何设置能使STM32CubeIDE减少内存使用量?data:image/png;base64,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

w0130160 发表于 2020-1-10 21:25:54

如图

glenxu 发表于 2020-1-13 09:56:42

减少通讯缓存、外部变量数量,合理利用子程序内部变量处理事件,避免使用不熟悉的函数特别是和延迟、时间等有关的函数。
当然,没这么简单,举例而已

Dandjinh 发表于 2020-1-13 13:22:46

可以修改安装目录下stm32cubeide.ini文件里的
-Xms256m   // 代表堆内存初始值为256MB
-Xmx1024m // 代表堆内存最大值为1024MB

CubeIDE是基于Eclipse的,而Eclipse是基于Java的,所以要占用比较多的内存。
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查看完整版本: 如何设置使STM32CubeIDE所占用内存减小