3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.DC2023
Analyzing I/O Performance of a Hierarchical HPC Storage System for Distributed Deep Learning
Takaaki Fukai, Kento Sato, Takahiro Hirofuchi
Today, deep learning is an essential technology for our life. To solve more complex problems with deep learning, both sizes of training datasets and neural networks are increasing.…
cs.LG2021★ 3 cited
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems
Steven Farrell, Murali Emani, Jacob Balma +40
Scientific communities are increasingly adopting machine learning and deep learning models in their applications to accelerate scientific insights. High performance computing syste…