Download Android on x86: An Introduction to Optimizing for Intel® by Iggy Krajci, Darren Cummings (auth.) PDF

By Iggy Krajci, Darren Cummings (auth.)

The Android on x86: An advent serves major reasons. First, it makes the case for adapting your functions onto Intel’s x86 structure, together with discussions of the company capability, the altering panorama of the Android industry, and the original demanding situations and possibilities that come up from x86 units. the basic inspiration is that extending your purposes to help x86 or growing new ones isn't really tricky, however it is valuable to understand all the technicalities. This ebook is devoted to giving you an wisdom of those nuances and an knowing of ways to take on them. moment, and most vital, this ebook offers a one-stop exact source for most sensible practices and systems linked to the install matters, optimization matters, software program necessities, programming projects, and function optimizations that emerge while builders examine the x86 Android units. The authors have gathered this data so you might use the ebook as a box consultant for the explicit specifications you'll have to think about. This ebook isn't really devoted to code in its place it truly is packed with the knowledge you would like on the way to make the most of x86 structure. it is going to consultant you thru fitting the Android SDK for Intel structure, assist you comprehend the diversities and similarities among various Android units utilizing the Intel structure, educate you to create and port functions, debug present x86 functions, supply ideas for NDK and C++optimizations, and clarify the Intel sped up Execution supervisor. This e-book offers the main priceless info that can assist you get the task performed quick whereas using most sensible practices. What you’ll research The development-relevant modifications among Android on ARM and Android on Intel x86 the best way to arrange the SDK for an emulated Intel Android machine the way to construct the Android OS for the Intel cellular Processor how one can create new x86 dependent Android functions, organize checking out and function tuning, and port present Android functions to paintings with the x86 processor tips to debug difficulties they come upon while engaged on the x86 Android try out platform Intricacies of the Intel speeded up Execution supervisor. The reader also will achieve major perception into the OpenGL Android aid. Who this e-book is for Android builders designers who have to know the way Android will paintings on their chipsets CIOs and CEOs of technology-based businesses IT employees who could stumble upon or have to comprehend the problems New startup founders and marketers computing device technology scholars

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Additional resources for Android on x86: An Introduction to Optimizing for Intel® Architecture

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Lastly, Intel processors cost significant amounts and there are systems in which a 4-core 3GHz processor is overkill. In these situations using an ARM or some other lower performance CPU may be desirable. Business Model In its home computing efforts, Intel has continued to produce powerful and energy-efficient processors for laptops, ultrabooks, and desktop platforms. The closest competitor is the Semiconductor company Advanced Micro Devices, Inc. There was a point in 2006 when the desktop market was close to being split between AMD and Intel, but that is no longer the case.

Applications written for Android will run on all Android devices that are the same version, regardless of the underlying processor. This means that applications written and tested on ARM Android devices require little to no effort to be used to their full capabilities on Intel x86 Android devices. The exception to this is applications that use Android’s NDK. However, with a simple recompile, the application should be up and running. For more information about software migration, refer to Chapter 7: Creating and Porting NDK-based Android Applications.

Upon installation, only the appropriate version of code is unpacked and installed onto the target platform. The rest of the applications are either Dalvik VM applications that use Java Native Interface (JNI) libraries built for ARM, or Native Development Kit (NDK) applications that haven’t been compiled for x86. These applications cannot run without alteration on the Intel Atom platform due to the calls to native libraries (especially ARM-specific native libraries). Intel and Google have worked together to ensure native application execution on Intel Atom platform “as-is” without porting efforts.

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