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Abstract
On-stack replacement (OSR) is a common technique employed by dynamic compilers to reduce program warm-up time. OSR allows switching from interpreted to compiled code during the execution of this code. The main targets are long running loops, which need to be represented explicitly, with dedicated information about condition and body, to be optimized at run time. Bytecode interpreters, however, represent control flow implicitly via unstructured jumps and thus do not exhibit the required high-level loop representation. To enable OSR also for jump-based - often called unstructured - languages, we propose the partial reconstruction of loops in order to explicitly represent them in a bytecode interpreter. Besides an outline of the general idea, we implemented our approach in Sulong, a bytecode interpreter for LLVM bitcode, which allows the execution of C/C++. We conducted an evaluation with a set of C benchmarks, which showed speed-ups in warm-up of up to 9x for certain benchmarks. This facilitates execution of programs with long-running loops in rarely called functions, which would yield significant slowdown without OSR. While shown with a prototype implementation, the overall idea of our approach is generalizable for all bytecode interpreters.
Original language | English |
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Title of host publication | MPLR 2019: Proceedings of the 16th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes |
Publisher | ACM |
Pages | 1-13 |
Number of pages | 13 |
DOIs | |
Publication status | Published - Oct 2019 |
Fields of science
- 102 Computer Sciences
- 102009 Computer simulation
- 102011 Formal languages
- 102013 Human-computer interaction
- 102022 Software development
- 102024 Usability research
- 102029 Practical computer science
JKU Focus areas
- Digital Transformation
Projects
- 1 Active
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Java VM Compiler Performance (Oracle)
Mössenböck, H. (PI)
01.01.2001 → 31.05.2025
Project: Contract research › Industry project