1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2025
TorchTraceAP: A New Benchmark Dataset for Detecting Performance Anti-Patterns in Computer Vision Models
Hanning Chen, Keyu Man, Kevin Zhu +8
Identifying and addressing performance anti-patterns in machine learning (ML) models is critical for efficient training and inference, but it typically demands deep expertise spann…
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…