1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.DC2024★ 1 cited
Towards Universal Performance Modeling for Machine Learning Training on Multi-GPU Platforms
Zhongyi Lin, Ning Sun, Pallab Bhattacharya +3
Characterizing and predicting the training performance of modern machine learning (ML) workloads on compute systems with compute and communication spread between CPUs, GPUs, and ne…
cs.LG2022
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs
Zhongyi Lin, Louis Feng, Ehsan K. Ardestani +5
We devise a performance model for GPU training of Deep Learning Recommendation Models (DLRM), whose GPU utilization is low compared to other well-optimized CV and NLP models. We sh…