Model-Parallel Model Selection for Deep Learning Systems
Summary: Introduces shard parallelism that blends task- and model-parallelism to run DL models on multi-device setups. Hydra partitions models into fine-grained shards and schedules them for higher utilization and faster training than classic model-parallelism. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,463 | D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks | 2024 | VLDB | 4.5052127e-05 |
| 9,603 | Saturn: An Optimized Data System for Multi-Large-Model Deep Learning Workloads | 2024 | VLDB | 4.3177432e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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