45 citations · 51 across the 3 of their papers we have counts for
3 papers
HPC-Coder: Modeling Parallel Programs using Large Language Models
Daniel Nichols, Aniruddha Marathe, Harshitha Menon +2
Parallel programs in high performance computing (HPC) continue to grow in complexity and scale in the exascale era. The diversity in hardware and parallel programming models make d…
A Survey and Empirical Evaluation of Parallel Deep Learning Frameworks
Daniel Nichols, Siddharth Singh, Shu-Huai Lin +1
The field of deep learning has witnessed a remarkable shift towards extremely compute- and memory-intensive neural networks. These newer larger models have enabled researchers to a…
Integrating Deep Learning in Domain Sciences at Exascale
Rick Archibald, Edmond Chow, Eduardo D'Azevedo +8
This paper presents some of the current challenges in designing deep learning artificial intelligence (AI) and integrating it with traditional high-performance computing (HPC) simu…