Tracing vs. partial evaluation: comparing meta-compilation approaches for self-optimizing interpreters
- Submitting institution
-
The University of Kent
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 10497
- Type
- E - Conference contribution
- DOI
-
10.1145/2814270.2814275
- Title of conference / published proceedings
- Proceedings of the 2015 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications - OOPSLA 2015
- First page
- 821
- Volume
- -
- Issue
- -
- ISSN
- 0362-1340
- Open access status
- Out of scope for open access requirements
- Month of publication
- October
- Year of publication
- 2015
- URL
-
https://kar.kent.ac.uk/63825/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is significant because it settles the question of which of the two dominant meta-compilation approaches delivers the best performance or requires least engineering for the implementation of dynamic language interpreters. As a result of our engineering insights and comprehensive benchmarking, Oracle reworked their widely deployed high-performance language implementation platform (GraalVM) to improve performance and further reduce the engineering effort for dynamic language implementations.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
