Runtime feedback in a meta-tracing JIT for efficient dynamic languages

Author:

Bolz Carl Friedrich,Cuni Antonio,Fijałkowski Maciej,Leuschel Michael,Pedroni Samuele,Rigo Armin

Publisher

ACM Press

Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Type-Based Gradual Typing Performance Optimization;Proceedings of the ACM on Programming Languages;2024-01-05

2. CacheIR: The Benefits of a Structured Representation for Inline Caches;Proceedings of the 20th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes;2023-10-19

3. Evaluating YJIT’s Performance in a Production Context: A Pragmatic Approach;Proceedings of the 20th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes;2023-10-19

4. YJIT: a basic block versioning JIT compiler for CRuby;Proceedings of the 13th ACM SIGPLAN International Workshop on Virtual Machines and Intermediate Languages;2021-10-19

5. Amalgamating different JIT compilations in a meta-tracing JIT compiler framework;Proceedings of the 16th ACM SIGPLAN International Symposium on Dynamic Languages;2020-11-15

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