Minisymposium Presentation

Large Language Model-based coding assistants have already proven to be extremely useful tools for aiding the efficiency and correctness of software developers. Adapting these tools in scientific software development will greatly improve the quality and quantity of scientific code being developed, leading to the creation of more robust and dependable software tools and frameworks. However, scientific code often comes with many requirements such as parallelism, performance, and fidelity that LLMs do not yet handle well. In this presentation, we talk about the current status of state of the art LLMs for parallel and HPC code and how to improve their performance in assisting with scientific software development.