Kaleba, S. Context-Guided Splitting: Optimising method dispatch in dynamic languages. PhD dissertation, 2024
Burchell, H., Larose, O., Kaleba, S., & Marr, S. Don’t Trust Your Profiler: An Empirical Study on the Precision and Accuracy of Java Profilers, Proceedings of the 20th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes (pp. 100-113), 2023
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Larose, O., Kaleba, S., Burchell, H., & Marr, S. AST vs. bytecode: interpreters in the age of meta-compilation, in Proceedings of the ACM on Programming Languages, 7(OOPSLA) (pp. 318-346), 2023
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Kaleba, S., Larose, O., Jones, R., & Marr, S. Who you gonna call: analyzing the run-time call-site behavior of ruby applications, in Proceedings of the 18th ACM SIGPLAN International Symposium on Dynamic Languages (pp. 15-28), 2022
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Marr, S., Larose, O., Kaleba, S. and Seaton, C. Truffle Interpreter Performance without the Holy Graal, in The 2022 Graal Workshop: Science, Art, Magic: Using and Developing The Graal Compiler. 2022
Larose, O., Kaleba, S. and Marr, S. Less Is More: Merging AST Nodes To Optimize Interpreters, in MoreVMs’22: Workshop on Modern Language Runtimes, Ecosystems, and VMs, 2022
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Aumayr, D., Marr, S., Kaleba, S., Boix, E. G., & Mössenböck, H. Capturing high-level nondeterminism in concurrent programs for practical concurrency model agnostic record & replay, in The Art, Science, and Engineering of Programming, 2021, Vol. 5, Issue 3, Article 14, 2021
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Kaleba, S., Béra, C., & Miranda, E. Garbage collection evaluation infrastructure for the Cog VM, in Proceedings of the 13th edition of the International Workshop on Smalltalk Technologies, 2018
Kaleba, S., Béra, C., & Ducasse, S. Assessing primitives performance on multi-stage execution, in Proceedings of the 13th Workshop on Implementation, Compilation, Optimization of Object-Oriented Languages, Programs and Systems, 2018
Kaleba, S., Béra, C., Bergel, A., & Ducasse, S. A detailed VM profiler for the Cog VM, in Proceedings of the 12th edition of the International Workshop on Smalltalk Technologies, 2017