3 papers
cs.DC2026
Generated, Parallel, Scalable? A Study of Agentic AI-Generated Julia Code on Supercomputers
Linus Bantel, Anna-Lena Roth, Jonas Posner +1
Julia is increasingly used in HPC as a single-language alternative to combining high-level scripting with low-level systems languages, but achieving scalable performance still requ…
cs.PL2026
From Prompts to Performance: Evaluating LLMs for Task-based Parallel Code Generation
Linus Bantel, Moritz Strack, Alexander Strack +1
Large Language Models (LLM) show strong abilities in code generation, but their skill in creating efficient parallel programs is less studied. This paper explores how LLMs generate…
cs.DC2026
GPU-Resident Gaussian Process Regression Leveraging Asynchronous Tasks with HPX
Henrik Möllmann, Dirk Pflüger, Alexander Strack
Gaussian processes (GPs) are a widely used regression tool, but the cubic complexity of exact solvers limits their scalability. To address this challenge, we extend the GPRat libra…