Evaluation of a just-in-time compiler retrofitted for PHP

Programmers who develop Web applications often use dynamic scripting languages such as Perl, PHP, Python, and Ruby. For general purpose scripting language usage, interpreter-based implementations are efficient and popular but the server-side usage for Web application development implies an opportunity to significantly enhance Web server throughput. This paper summarizes a study of the optimization of PHP script processing. We developed a PHP processor, P9, by adapting an existing production-quality just-in-time (JIT) compiler for a Java virtual machine, for which optimization technologies have been well-established, especially for server-side application. This paper describes and contrasts microbenchmarks and SPECweb2005 benchmark results for a well-tuned configuration of a traditional PHP interpreter and our JIT compiler-based implementation, P9. Experimental results with the microbenchmarks show 2.5-9.5x advantage with P9, and the SPECweb2005 measurements show about 20-30% improvements. These results show that the acceleration of dynamic scripting language processing does matter in a realistic Web application server environment. CPU usage profiling shows our simple JIT compiler introduction reduces the PHP core runtime overhead from 45% to 13% for a SPECweb2005 scenario, implying that further improvements of dynamic compilers would provide little additional return unless other major overheads such as heavy memory copy between the language runtime and Web server frontend are reduced.