Zhang, S., Zhao, J., Yu, Q. et al. (4 more authors) (2026) The new compiler stack: a survey on the synergy of LLMs and compilers. CCF Transactions on High Performance Computing. ISSN: 2524-4922
Abstract
This survey has provided a systematic overview of the emerging field of LLM-enabled compilation by addressing several key research questions. We first answered how LLMs are being integrated by proposing a comprehensive, multi-dimensional taxonomy that categorizes works based on their Design Philosophy (Selector, Translator, Generator), LLM Methodology, their operational Level of Code Abstraction, and the specific Task Type they address. In answering what advancements these approaches offer, we identified three primary benefits: the democratization of compiler development, the discovery of novel optimization strategies, and the broadening of the compiler’s traditional scope. Finally, in addressing the field’s challenges and opportunities, we highlighted the critical hurdles of ensuring correctness and achieving scalability, while identifying the development of hybrid systems as the most promising path forward. By providing these answers, this survey serves as a foundational roadmap for researchers and practitioners, charting the course for a new generation of LLM-powered, intelligent, adaptive and synergistic compilation tools.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | This is an author produced version of an article published in CCF Transactions on High Performance Computing, made available via the University of Leeds Research Outputs Policy under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Survey; LLM; Compiler; Code translation; Code optimization |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
| Date Deposited: | 26 Feb 2026 11:02 |
| Last Modified: | 26 Feb 2026 11:02 |
| Status: | Published online |
| Publisher: | Springer |
| Identification Number: | 10.1007/s42514-025-00270-x |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:238378 |
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Filename: 2601.02045v1.pdf
Licence: CC-BY 4.0

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