CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming Ali TehraniJamsaz, Arijit Bhattacharjee, Le Chen, Nesreen K. Ahmed Amir Yazdanbakhsh

Recent advancements in Large Language Models (LLMs) have renewed interest in automatic programming language translation. Encoder-decoder transformer models, in particular, have shown promise in translating between different programming languages. However, translating between a language and its high-performance computing (HPC) extensions remains underexplored due to challenges such as complex parallel semantics. In this paper, we introduce CodeRosetta, an encoder-decoder transformer model designed specifically for translating between programming languages and their HPC extensions.