The same approach can be used to benchmark other tool chains, so this post can be used as a tutorial to find out how small the components of a floating point library are. Here is a quick look at how small our floating point code is, based on a small project in Embedded Studio, which is also provided and easily allows reproduction. We have published performance values, but for some people size matters more than speed. Since we started licensing our Floating-Point Library, outside of Embedded Studio and outside of the SEGGER RunTime Library, we are seeing a lot of interest. In this article, I will investigate, based on Embedded Studio for ARM and a generic Cortex-M3 device, how big (or small) an entire application using basic float operations, add, sub, mul, and div, can be. If you do not allow these cookies, you will experience reduced relevant content.How expensive in terms of code size are floating-point operations if the CPU does not have an floating-point unit (FPU)? They do not store directly personal information, but are based on uniquely identifying your browser and internet device. They may be used by Analog Devices to build a profile of your interests and show you relevant content on our site. Targeting Cookies: These cookies may be set through our site by Analog Devices and our service providers. If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance. All information these cookies collect is aggregated and therefore anonymous. They help us to know which pages are the most and least popular and see how visitors move around the site. Performance Cookies: These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site.
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