3 papers
cs.DC2024
LLAMP: Assessing Network Latency Tolerance of HPC Applications with Linear Programming
Siyuan Shen, Langwen Huang, Marcin Chrapek +5
The shift towards high-bandwidth networks driven by AI workloads in data centers and HPC clusters has unintentionally aggravated network latency, adversely affecting the performanc…
cs.LG2023
Cached Operator Reordering: A Unified View for Fast GNN Training
Julia Bazinska, Andrei Ivanov, Tal Ben-Nun +4
Graph Neural Networks (GNNs) are a powerful tool for handling structured graph data and addressing tasks such as node classification, graph classification, and clustering. However,…
cs.SD2023
Mingling or Misalignment? Temporal Shift for Speech Emotion Recognition with Pre-trained Representations
Siyuan Shen, Feng Liu, Aimin Zhou
Fueled by recent advances of self-supervised models, pre-trained speech representations proved effective for the downstream speech emotion recognition (SER) task. Most prior works…