Fast and effective procedure inlining
The effectiveness of an inlining algorithm is determined not only by its ability to recognize inlining opportunities but also by its discretion in exercising those opportunities. This paper presents a new inlining algorithm for higher-order languages that combines simple analysis techniques with demand-driven online transformation to achieve consistent and often dramatic performance gains in fast linear time. The algorithm is shown to be as effective as and significantly faster than offline, analysis-intensive algorithms recently described in the literature.
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