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ABSTRACT

Dynamically dispatched calls often limit the performance of object-oriented programs, since opject-oriented programming encourages factoring code into small, reusable units, thereby increasing the frequency of these expensive operations. Frequent calls not only slow down execution with the dispatch overhead per se, but more importantly they hinder optimization by limiting the range and effectiveness of standard global optimizations. In particular, dynamically dispatched calles prevent standard interprocedual optimizations that depend on the availability of a static call graph. The SELF implementation described here offers tow novel approaches to optimization. Type feedback speculatively inlines dynamically dispatched calls based on profile information that predicts likely receiver classes. Adaptive optimization reconciles optimizing compilation with interactive performance by incrementally optimizing only the frequently executed parts of a program. When combined, these two techniques result in a system that can execute programs significantly faster than previous systems while retaining much of the interactiveness of an interpreted system.

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INDEX TERMS

Primary Classification:
  D. Software
  D.1 PROGRAMMING TECHNIQUES

Additional Classification:
  D. Software
  D.2 SOFTWARE ENGINEERING
      D.2.6 Programming Environments
          Subjects: Interactive environments
      D.2.m Miscellaneous
          Subjects: Rapid prototyping**
  D.3 PROGRAMMING LANGUAGES
      D.3.4 Processors
          Subjects: Run-time environments; Interpreters; Compilers
  D.4 OPERATING SYSTEMS
      D.4.7 Organization and Design
          Subjects: Interactive systems

General Terms:
Languages

Keywords:
adaptive optimization, pause clustering, profile-based optimization, run-time compilation, type feedback