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Download E-books Pro Android Apps Performance Optimization PDF

Posted On February 4, 2017 at 12:19 am by / Comments Off on Download E-books Pro Android Apps Performance Optimization PDF

By Hervé Guihot

Today's Android apps builders are usually operating into the necessity to refine, increase and optimize their apps performances. As extra advanced apps might be created, it really is much more vital for builders to accommodate this severe issue. 

Android permits builders to write down apps utilizing Java, C or a mixture of either with the Android SDK and the Android NDK. Pro Android Apps Performance Optimization unearths how one can fine-tune your Android apps, making them extra good and quicker. during this ebook, you'll examine the following:
* the best way to optimize your Java code with the SDK, but additionally the best way to write and optimize local code utilizing complex beneficial properties of the Android NDK akin to utilizing ARM unmarried guide a number of facts (SIMD) directions (in C or meeting)
* How to use multithreading on your software, how make top use of reminiscence and the way to maximise battery existence
* how one can use to a few OpenGL optimizations and to Renderscript, a brand new function in Android 3.0 (Honeycomb) and accelerated in Android 4.0 (Ice Cream Sandwich).

After examining and utilizing this e-book, you'll be a greater coder and your apps might be better-coded. Better-performing apps mean better stories and finally, extra money for you because the app developer or your indie shop.
<h3>What you’ll learn</h3> * the best way to optimize your functions in Java
* the way to optimize your purposes utilizing the NDK
* tips to most sensible use reminiscence to maximise functionality
* how you can maximize battery existence
* How and while to exploit multi-threading
* easy methods to benchmark and profile your code
* easy methods to optimize OpenGL code and use Renderscript
Who this publication is for
Android builders already accustomed to Java and Android SDK, who are looking to move one step extra and how you can maximize functionality.
desk of Contents * Optimizing Java code
* Getting begun with the Android NDK
* utilizing complex NDK beneficial properties
* utilizing reminiscence successfully
* Multithreading and synchronization
* Benchmarking and profiling your program
* Maximizing battery existence
* OpenGL optimizations
* Renderscript

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1. whereas the implications may possibly fluctuate reckoning on what your code does, you could count on an important elevate in velocity while utilizing Android 2. 2 and later models. The absence of a JIT compiler in Android 2. 1 and past models may perhaps impact your optimization procedure considerably. for those who intend to focus on units working Android 1. five (codename Cupcake), 1. 6 (codename Donut), or 2. 1 (codename Éclair), probably it is very important assessment extra rigorously what you will want or have to supply on your software. additionally, units working those prior Android types are older units, that are much less strong than more recent ones. whereas the marketplace proportion of Android 2. 1 and past units is shrinking, they nonetheless symbolize approximately 12% as of December 2011). attainable concepts are: Don’t optimize in any respect. Your program may be relatively sluggish on those older units. three 4 bankruptcy 1: Optimizing Java Code Require minimal API point eight on your software, that can then be put in in basic terms on Android 2. 2 or later types. Optimize for older units to provide a great person adventure even if no JIT compiler is current. this may suggest disabling beneficial properties which are too CPU-heavy. TIP: Use android:vmSafeMode on your application’s appear to allow or disable the JIT compiler. it truly is enabled via default (if it's to be had at the platform). This characteristic was once brought in Android 2. 2. Now it's time to run the code on a precise platform and spot the way it plays. when you are conversant in recursion and the Fibonacci sequence, you may bet that it will likely be gradual. and you'd be correct. On a Samsung Galaxy Tab 10. 1, computing the 30th Fibonacci quantity takes approximately 370 milliseconds. With the JIT compiler disabled, it takes approximately 440 milliseconds. in case you choose to comprise that functionality in a Calculator program, clients turns into annoyed as the effects can't be computed “immediately. ” From a user’s viewpoint, effects look prompt in the event that they could be computed in a hundred milliseconds or much less. this kind of reaction time promises a superb consumer adventure, so this is often what we will aim. Optimizing Fibonacci the 1st optimization we'll practice gets rid of a style name, as proven in directory 1–3. As this implementation is recursive, elimination a unmarried name within the process dramatically reduces the entire variety of calls. for instance, computeRecursively(30) generated 2,692,537 calls whereas computeRecursivelyWithLoop(30) generated “only” 1,346,269. despite the fact that, the functionality of this technique continues to be no longer applicable contemplating the responsetime standards outlined above, a hundred milliseconds or much less, as computeRecursivelyWithLoop(30) takes approximately 270 milliseconds to accomplish. directory 1–3. Optimized Recursive Implementation of Fibonacci sequence public category Fibonacci { public static lengthy computeRecursivelyWithLoop (int n) { if (n > 1) { lengthy outcome = 1; do { consequence += computeRecursivelyWithLoop(n-2); n--; } whereas (n > 1); go back end result; } go back n; } } CHAPTER 1: Optimizing Java Code word: this isn't a real tail-recursion optimization.

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