Automated just-in-time compiler tuning

Managed runtime systems, such as a Java virtual machine (JVM), are complex pieces of software with many interacting components. The Just-In-Time (JIT) compiler is at the core of the virtual machine, however, tuning the compiler for optimum performance is a challenging task. There are (i) many compiler optimizations and options, (ii) there may be multiple optimization levels (e.g., -O0, -O1, -O2), each with a specific optimization plan consisting of a collection of optimizations, (iii) the Adaptive Optimization System (AOS) that decides which method to optimize to which optimization level requires fine-tuning, and (iv) the effectiveness of the optimizations depends on the application as well as on the hardware platform. Current practice is to manually tune the JIT compiler which is both tedious and very time-consuming, and in addition may lead to suboptimal performance. This paper proposes automated tuning of the JIT compiler through multi-objective evolutionary search. The proposed ...

• Type: Conference
• Year: 2010
• Where: CGO
• Authors: Kenneth Hoste, Andy Georges, Lieven Eeckhout
• Keywords: CGO 2010, Hardware Platform, JIT Compiler, Optimization Levels, Software Engineering