@inproceedings{izawa2020dls,
  author = {Yusuke Izawa and Hidehiko Masuhara},
  title = {Amalgamating Different {JIT} Compilations in a Meta-tracing {JIT} Compiler Framework},
  booktitle = {Proceedings of the 16th ACM SIGPLAN International Symposium on Dynamic Language (DLS'20)},
  editor = {Matthew Flatt},
  acceptanceratio = {9/14(64\%)},
  year = 2020,
  optvolume = {TBA},
  optnumber = {TBA},
  doi = {10.1145/3426422.3426977},
  pages = {1--15},
  pdf = {dls2020.pdf},
  url = {https://conf.researchr.org/home/dls-2020},
  month = nov,
  abstract = {Most virtual machines employ just-in-time (JIT) compilers to achieve high-performance. Trace-based compilation and method-based compilation are two major compilation strategies in JIT compilers. In general, the former excels in compiling programs with more in-depth method calls and more dynamic branches, while the latter is suitable for a wide range of programs. Some previous studies have suggested that each strategy has its advantages and disadvantages,and there is no clear winner. In this paper, we present a new approach, namely, the meta-hybrid JIT compilation strategy, mixing the two strategies in a meta-tracing JIT compiler. As a prototype, we implemented a simple meta-tracing JIT compiler framework called BacCaml based on the MinCaml compiler by following RPython's architecture. We also report that some programs ran faster by the hybrid compilation in our experiments.}
}