ITR: Dynamic Cooperative Performance Optimization

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Object-oriented programming languages, notably Java, are gaining broad usebecause of their benefits, which come largely from their flexibility. Butthis same flexibility makes Java programs more difficult to optimize inadvance. One sample collection of programs, optimized in advance, spent40-95% of their time on an aggressive processor waiting for the memory toprovide data, illustrating the need to improve memory behavior. Futureprocessors will only make the problem worse.The project makes an integrated attack on this problem, incorporating newprogram analyses and optimizations, profile feedback, run-time techniquesincluding adaptive garbage collection algorithms, and ways of communicatinghigh-level predictions and observations of program behavior to thehardware.The project aims to design and build a compiler, run-time system, andenhanced architectural and operating system features that react quickly andgracefully to compiler predictions and actual run-time behavior to achievehigh performance. The goal is synergy via cooperation between the systemcomponents versus solving each problem within an individual component.While the research focuses on improving memory performance, the project'senvisioned framework is suited to a wide range of performance optimizationtechniques, so the expected research results and software products havebroader impact.