5 papers
Adding New Capability in Existing Scientific Application with LLM Assistance
Anshu Dubey, Akash Dhruv
With the emergence and rapid evolution of large language models (LLM), automating coding tasks has become an important research topic. Many efforts are underway and literature abou…
RAPTOR: Practical Numerical Profiling of Scientific Applications
Faveo Hoerold, Ivan R. Ivanov, Akash Dhruv +4
The proliferation of low-precision units in modern high-performance architectures increasingly burdens domain scientists. Historically, the choice in HPC was easy: can we get away…
Bubbleformer: Forecasting Boiling with Transformers
Sheikh Md Shakeel Hassan, Xianwei Zou, Akash Dhruv +2
Modeling boiling (an inherently chaotic, multiphase process central to energy and thermal systems) remains a significant challenge for neural PDE surrogates. Existing models requir…
Comparative Evaluation of Prompting and Fine-Tuning for Applying Large Language Models to Grid-Structured Geospatial Data
Akash Dhruv, Yangxinyu Xie, Jordan Branham +1
This paper presents a comparative study of large language models (LLMs) in interpreting grid-structured geospatial data. We evaluate the performance of a base model through structu…
Leveraging Large Language Models for Code Translation and Software Development in Scientific Computing
Akash Dhruv, Anshu Dubey
The emergence of foundational models and generative artificial intelligence (GenAI) is poised to transform productivity in scientific computing, especially in code development, ref…