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2001•Unpublished venueOpen access

Using annotations to reduce dynamic optimization time

Chandra Krintz, Brad Calder

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Abstract

Dynamic compilation and optimization are widely used in heterogenous computing environments, in which an intermediate form of the code is compiled to native code during execution. An important trade off exists between the amount of time spent dynamically optimizing the program and the running time of the program. The time to perform dynamic optimizations can cause significant delays during execution and also prohibit performance gains that result from more complex optimization.

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What this paper is about

Dynamic compilation and optimization are widely used in heterogenous computing environments, in which an intermediate form of the code is compiled to native code during execution. An important trade off exists between the amount of time spent dynamically optimizing the program and the running time of the program. The time to perform dynamic optimizations can cause significant delays during execution and also prohibit performance gains that result from more complex optimization.

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OpenAlex reports 84 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Dynamic compilation and optimization are widely used in heterogenous computing environments, in which an intermediate form of the code is compiled to native code during execution. An important trade off exists between the amount of time spent dynamically optimizing the program and the running time of the program. The time to perform dynamic optimizations can cause significant delays during execution and also prohibit performance gains that result from more complex optimization.

Key concepts: Computer science, Dynamic compilation, Execution time, Program optimization, Code (set theory), Parallel computing, Running time, Dynamic programming

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