Persistent Code Caching: Exploiting Code Reuse Across Executions and Applications Vijay Janapa Reddi, Robert Cohn, Michael Smith, Daniel A. Connors. Proceedings of the 5th International Conference on Code Generation and Optimization (CGO). March, 2007. Run-time compilation systems are challenged with the task of translating a program's instruction stream while maintaining low overhead. While software managed code caches are utilized to amortize translation costs, they are ineffective for programs with short run times, or large amounts of cold code. Such program characteristics are prevalent in real-life computing environments, ranging from Graphical User Interface (GUI) programs to large-scale applications such as database management systems. Persistent code caching} addresses these issues and is evaluated in an industry-strength dynamic binary instrumentation system -- Pin. The proposed approach improves the intra-execution model of code reuse by storing and reusing translations across executions, thereby achieving inter-execution persistence. Dynamically linked programs leverage inter-application persistence by using persistent translations of library code generated by other programs. New translations discovered across executions are automatically accumulated into the persistent code caches, thereby improving performance over time. Inter-execution persistence improves the performance of GUI applications by nearly 90%, while inter-application persistence achieves a 59% improvement. In more specialized uses, the SPEC2K INT benchmark suite experiences a 26% improvement under dynamic binary instrumentation. Finally, a 400% speedup is achieved in translating the Oracle database in a regression testing environment. [ PDF ]