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• • ART and Dalvik • • • • • • • • • • Configuration • • • • • • • • • • • • Connectivity • • • • • • • • • • • Data Usage • • • • • • • • • Debugging • • • Evaluating Performance • • • • • • Fuzzing and Sanitizing • • • • • • • • • • • • Device Administration • • • • • • • • • • Display • • • • • • • • • • • • • • • OTA Updates • • • • • A/B System Updates • • • • Non-A/B System Updates • • • • • Performance • • • • • • Power • • • • • • • Settings Menu • • • • • • Testing Infrastructure • • • • • • • • • Vendor Test Suite (VTS) • • • • • •. • • ART and Dalvik • • • • • • • • • • Configuration • • • • • • • • • • • • Connectivity • • • • • • • • • • • Data Usage • • • • • • • • • Debugging • • • Evaluating Performance • • • • • • Fuzzing and Sanitizing • • • • • • • • • • • • Device Administration • • • • • • • • • • Display • • • • • • • • • • • • • • • OTA Updates • • • • • A/B System Updates • • • • Non-A/B System Updates • • • • • Performance • • • • • • Power • • • • • • • Settings Menu • • • • • • Testing Infrastructure • • • • • • • • • Vendor Test Suite (VTS) • • • • • • • •. Android runtime (ART) includes a just-in-time (JIT) compiler with code profiling that continually improves the performance of Android applications as they run. The JIT compiler complements ART's current ahead-of-time (AOT) compiler and improves runtime performance, saves storage space, and speeds application and system updates. It also improves upon the AOT compiler by avoiding system slowdown during automatic application updates or recompilation of applications during over-the-air (OTA) updates. Although JIT and AOT use the same compiler with a similar set of optimizations, the generated code might not be identical. JIT makes use of runtime type information, can do better inlining, and makes on stack replacement (OSR) compilation possible, all of which generates slightly different code.
JIT architecture Figure 1. JIT architecture.
Cetus is a compiler infrastructure for the source-to-source transformation of software. PLUTO is an automatic parallelization tool based on the. Cetus for Compilers 1. Cetus: A Source-to-Source Compiler Infrastructure for Multicores Hansang Bae, Leonardo Bachega, Chirag Dave, Sang-Ik Lee, Seyong Lee. Cetus Compiler Installation Art Images After the installation process sets up. Perseus beheaded the Gorgon Medusa and saved Andromeda from the sea monster Cetus. Android runtime (ART) includes a just-in-time (JIT) compiler with code profiling that continually improves the performance of Android applications as they run.
JIT compilation JIT compilation involves the following activities: Figure 2. Profile-guided compilation. • The user runs the app, which then triggers ART to load the.dex file. • If the.oat file (the AOT binary for the.dex file) is available, ART uses it directly. Although.oat files are generated regularly, they don't always contain compiled code (AOT binary). • If no.oat file is available, ART runs through JIT or an interpreter to execute the.dex file.
ART always uses the.oat files if available. Otherwise, it uses the APK and extracts it in memory to get to the.dex; this incurs a big memory overhead that is equal to the size of the dex files. • JIT is enabled for any application that is not compiled according to the speed compilation filter (which says 'compile as much as you can from the app').
• The JIT profile data is dumped to a file in a system directory that only the application can access. • The AOT compilation ( dex2oat) daemon parses that file to drive its compilation.
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JIT daemon activities. The Google Play service is an example used by other applications that behave similar to shared libraries. JIT workflow Figure 4. JIT data flow.
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• Profiling information is stored in the code cache and subjected to garbage collection under memory pressure. • There is no guarantee a snapshot taken when the application was in the background will contain complete data (i.e., everything that was JITed). • There is no attempt to ensure everything is recorded (as this can impact runtime performance).
• Methods can be in three different states: • interpreted (dex code) • JIT compiled • AOT compiled If both JIT and AOT code exists (e.g. Due to repeated de-optimizations), the JITed code is preferred.
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• The memory requirement to run JIT without impacting foreground app performance depends upon the app in question. Large apps require more memory than small apps. In general, large apps stabilize around 4 MB.