Evaluating pre-trained Large Language Models on zero shot prompts for parallelization of source code

Large Language Models (LLMs) have become prominent in the software development life cycle, yet the generation of performant source code, particularly through automatic parallelization, remains underexplored. This study compares 23 pre-trained LLMs against the Intel C Compiler (icc), a state-of-the-a...

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Veröffentlicht in:	The Journal of systems and software Jg. 230; S. 112543
Hauptverfasser:	Yadav, Devansh, Mondal, Shouvick
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.12.2025
Schlagworte:	Code parallelization Compiler optimization Large Language Models Zero-shot Compiler optimization Zero-shot Code parallelization Large Language Models
ISSN:	0164-1212
Online-Zugang:	Volltext
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