Quantifying openmp: Statistical insights into usage and adoption

T Kadosh, N Hasabnis, T Mattson… - 2023 IEEE High …, 2023 - ieeexplore.ieee.org
In high-performance computing (HPC), the demand for efficient parallel programming
models has grown dramatically since the end of Dennard Scaling and the subsequent move …

Domain-Specific Code Language Models: Unraveling the Potential for HPC Codes and Tasks

T Kadosh, N Hasabnis, VA Vo, N Schneider… - arXiv preprint arXiv …, 2023 - arxiv.org
With easier access to powerful compute resources, there is a growing trend in AI for software
development to develop larger language models (LLMs) to address a variety of …

Scope is all you need: Transforming LLMs for HPC Code

T Kadosh, N Hasabnis, VA Vo, N Schneider… - arXiv preprint arXiv …, 2023 - arxiv.org
With easier access to powerful compute resources, there is a growing trend in the field of AI
for software development to develop larger and larger language models (LLMs) to address a …

Position Paper: The Landscape and Challenges of HPC Research and LLMs

L Chen, NK Ahmed, A Dutta, A Bhattacharjee… - arXiv preprint arXiv …, 2024 - arxiv.org
Recently, language models (LMs), especially large language models (LLMs), have
revolutionized the field of deep learning. Both encoder-decoder models and prompt-based …

MPIrigen: MPI Code Generation through Domain-Specific Language Models

N Schneider, N Hasabnis, VA Vo, T Kadosh… - Proceedings of the …, 2024 - dl.acm.org
The imperative need to scale computation across numerous nodes highlights the
significance of efficient parallel computing, particularly in the realm of Message Passing …

Translating and Optimising Computational Microscopy Algorithms with Large Language Models

F Guzzi, G Kourousias, R Pugliese… - 2024 47th MIPRO …, 2024 - ieeexplore.ieee.org
Numerical simulation algorithms for optics design, computational imaging and wave-matter
interaction are often implemented in legacy or non-free languages such as Fortran77/90 …