Helios: Efficient Distributed Dynamic Graph Sampling for Online GNN Inference.
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Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2025
Understanding Stragglers in Large Model Training Using What-if Analysis.
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Proceedings of the 19th USENIX Symposium on Operating Systems Design and Implementation, 2025
Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance.
CoRR, 2023
Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training.
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Proceedings of the 2023 USENIX Annual Technical Conference, 2023