13
May
12

Profiling an Android Application

As you may or may not know, I have been writing an app for the Android platform using OpenGL. Anyone writing for OpenGL on the Android platform should know that it is important to make sure your code is memory efficient, and most importantly fast. In order to achieve this it is important that you test and analyse your code on a regular basis. There are some useful tools that come with the Android SDK and some that can be downloaded with eclipse that you should use.

For profiling you application you should use Traceview. In order to make effective use of this tool you need to make a trace file covering the time frame that you are interested in. You can do this with eclipse, but the length of the trace is limited, and it can be inaccurate. I suggest that you make use of the android.os.Debug class to make the trace file, because you can control the size of the trace buffer.  I have used Traceview to analyse the lengths of time it takes to execute elements of my rendering code, and to monitor the changes in timings when I have changed my code.

For analysing how much memory you are using there are several things you should do. Firstly take a look at the output of logcat and see how often the garbage collector runs and how much memory it frees each time it does. If your app creates and releases objects on a regular basis, the garbage collector will spend a lot of time cleaning up memory which will slow your app down. The garbage collector will also tell you how much heap memory you are using. You need to be aware that there is limited heap space available to apps on Android phones. Some have a limit of 24Mb of heap, but it differs from device to device. So you need to be careful of the amount of RAM used by your app, even if the target device has a lot of RAM. A good way to find out how your app uses memory is to use the eclipse memory analysis tool. It is fairly simple to get working in eclipse, and like method tracing can also be activated by the Debug class. I found that I had to limit the results of all my searches to my project classes to get useful results. There are a number of other classes that belong to the Android API that take up a significant memory space in a small app. Either way the analysis tool is very good, but can be a little complex to use if you don’t know the terminology.

The tools have been useful to me in finding some areas of my code which could be improved, and quantified the improvement. I found a section where I had created a String object implicitly in a method call. When the method finished the String was no longer needed and the garbage collector would kick in once every two seconds. I changed my code to use a different data type and not create objects implicitly and got the relevant code to run twice as fast in addition to not requiring the garbage collector as often. I have also been able to determine the amount of memory my objects require and tune them appropriately.

The analysis tools are only half the solution. Your application needs to have a good solid design, to make it easier to diagnose and correct problems. Lastly it is important to know how to interpret the information from the tools. Many parts of the analysis tools cause slow down or extra memory use, so you need to be aware that the statistics presented are relative to each other and don’t always represent the result on real hardware. If used effectively profiling and memory analysis will allow you to significantly improve the performance of your applications.

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