Paper Info
Title
Supporting on-stack replacement in unstructured languages by loop reconstruction and extraction.
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.
Year
DOI
Venue
2019
10.1145/3357390.3361030
MPLR '19: 16th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes Athens Greece October, 2019
DocType
ISBN
Citations 
Conference
978-1-4503-6977-0
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Raphael Mosaner101.01
David Leopoldseder262.46
Manuel Rigger3265.86
Roland Schatz4858.95
Hanspeter Mössenböck578188.17