A Reference GLL Implementation
Pages 43 - 55
Abstract
The Generalised-LL (GLL) context-free parsing algorithm was introduced at the 2009 LDTA workshop, and since then a series of variant algorithms and implementations have been described. There is a wide variety of optimisations that may be applied to GLL, some of which were already present in the originally published form.
This paper presents a reference GLL implementation shorn of all optimisations as a common baseline for the real-world comparison of performance across GLL variants. This baseline version has particular value for non-specialists, since its simple form may be straightforwardly encoded in the implementer's preferred programming language.
We also describe our approach to low level memory management of GLL internal data structures. Our evaluation on large inputs shows a factor 3--4 speedup over a naïve implementation using the standard Java APIs and a factor 4--5 reduction in heap requirements. We conclude with notes on some algorithm-level optimisations that may be applied independently of the internal data representation.
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L. Thomas van Binsbergen, Elizabeth Scott, and Adrian Johnstone. 2018. GLL Parsing with Flexible Combinators. In Proceedings of the 11th ACM SIGPLAN International Conference on Software Language Engineering (SLE 2018). Association for Computing Machinery, New York, NY, USA. 16–28. isbn:9781450360296 https://doi.org/10.1145/3276604.3276618
Index Terms
- A Reference GLL Implementation
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Published In
October 2023
231 pages
ISBN:9798400703966
DOI:10.1145/3623476
- General Chair:
- João Saraiva,
- Program Chairs:
- Thomas Degueule,
- Elizabeth Scott
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Published: 23 October 2023
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