● A device or emulator. You can use any device that supports mobile operating systems like iOS (iPhone and iPad) and Android and desktop OS like Windows (Android phone, tablet, and PC) to run and test your apps. You can also use an emulator or simulator to run your apps on your computer, such as Xcode, Android Studio, etc.
Lexer is responsible for the lexical analysis, i.e., breaking down the script source into a series of tokens, such as keywords, identifiers, operators, literals, etc.
The parser carries out the syntactic analysis, i.e., consuming the tokens from the lexer and building the corresponding syntax tree, representing the code's structure and meaning.
Start-up interpreter (LLInt)
LLInt executes the bytecodes the parser produces. Offlineasm, a portable assembly that can compile to x86, ARMv7, and C, writes the LLInt. The LLInt aims for no start-up cost besides lexing and parsing while following the just-in-time compilers' calling, stack, and register conventions.
Baseline JIT kicks in for functions invoked at least six times or takes a loop thousands of times faster. The Baseline JIT compiles the bytecodes to native code, which can run more quickly than the LLInt. The Baseline JIT also performs sophisticated polymorphic inline caching for almost all heap accesses, which means it can optimize the access to object properties and methods based on the types of the objects.
Low-latency JIT optimization (DFG)
DFG is an advanced compiler that uses speculative execution to optimize the code based on the profiling information collected by the LLInt and the Baseline JIT. The DFG can perform aggressive optimizations such as constant folding, dead code elimination, loop invariant code motion, etc. The DFG can also handle complex data structures such as arrays, strings, and typed arrays.
High-throughput JIT optimization (FTL)
FTL advanced compiler uses the LLVM infrastructure to generate highly optimized machine code. The FTL can perform even more optimizations than the DFG, such as vectorization, register allocation, instruction scheduling, etc. The FTL can also leverage the hardware features of the target platform, such as SIMD instructions, floating-point operations, etc.
What is Cross-Platform Development?
Cross-platform development is developing software products that work on multiple platforms instead of creating a service that works on a single platform. For example, a cross-platform app can run on Android, iOS, Windows, and other operating systems with minimal or no changes in the code. That can reduce time to market and the resources developers need to provide a consistent User Experience (UX) across different devices, from desktop to mobile platforms.
Tools and cross-platform frameworks exist to help developers make informed decisions and build apps. Some popular frameworks are Flutter, React Native, Ionic, Xamarin, and Kotlin Multiplatform. Each tool has major advantages and disadvantages, depending on the project requirements, the Programming Language, the performance, the User Interface (UI), and the support.
How Does Cross-Platform Development Work?
Developers use cross-platform development to create software that can run on different platforms or devices, such as Android, iOS, Windows, Mac, Linux, and Web Browsers. But how can developers write one app that can run on so many different systems without having to rewrite the code for each one?