Different analysis tools and optimization strategies
You can optimize your application at multiple levels other than just at a code level. Optimization can also be done at a memory or binary. You can modify your application to make it work more efficiently by using fewer resources. However, there can be a trade-off between memory and performance. Based on your hardware configuration, you can decide a strategy as to whether memory usage or processing time is important. In some embedded platforms with memory limitations, you can allow the processing time to be a little longer to use less memory and keep the application responsive. You can also delegate some part of the optimization task to the compiler.
Let's have a look at different strategies we can use to build, analyze, and deploy faster.
Memory profiling and analysis tools
In this section, we will discuss some additional tools you can use to analyze your application. Note that we won't be discussing these tools...
