Examples of such code include image filters, compression codecs, and gaming engines.Īs we worked to improve WebKit’s optimizing compiler, we found that we were increasingly duplicating logic that would already be found in traditional ahead-of-time (AOT) compilers. This compiler benefits programs that are long-running, and where a large portion of the execution time is concentrated in a relatively small amount of code. WebKit also features a more advanced compiler that eliminates dynamic language overhead. WebKit has a history of performing very well on this benchmark. These overheads are illustrated in JSBench, a benchmark directly based on existing web applications like Facebook and Twitter. The dominant cost in such code is the time spent loading it and the memory used to store it. Websites today serve large amounts of highly dynamic JavaScript code that typically runs for a relatively short time. ![]() In WebKit, we struck a balance between optimizations for the JavaScript applications that we see on the web today, and optimizations for the next generation of web content. This will allow JavaScript programs to leverage sophisticated optimizations that were previously only available to native applications written in languages like C++ or Objective-C.Īll major browser engines feature sophisticated JavaScript optimizations. This post describes a new advancement in JavaScript optimization: the WebKit project has unified its existing JavaScript compilation infrastructure with the state-of-the-art LLVM optimizer. ![]() But thanks to continuous optimization efforts, it’s now possible to write sophisticated, high-performance applications – even graphics-intensive games – using portable standards-compliant JavaScript and HTML5. ![]() Just a decade ago, JavaScript – the programming language used to drive web page interactions – was thought to be too slow for serious application development. WebKit’s FTL JIT (Faster Than Light Just In Time compiler) has switched to a new backend - Bare Bones Backend (B3) replaces LLVM as the low-level optimizer in the FTL JIT.
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