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cs.NI2024
FlowTracer: A Tool for Uncovering Network Path Usage Imbalance in AI Training Clusters
Hasibul Jamil, Abdul Alim, Laurent Schares +6
The increasing complexity of AI workloads, especially distributed Large Language Model (LLM) training, places significant strain on the networking infrastructure of parallel data c…
cs.NI2024
Carbon-Aware End-to-End Data Movement
Jacob Goldverg, Hasibul Jamil, Elvis Rodriguez +1
The latest trends in the adoption of cloud, edge, and distributed computing, as well as a rise in applying AI/ML workloads, have created a need to measure, monitor, and reduce the…