Pipeline Group Optimization on Disaggregated Systems
Summary: Group concurrent pipelines by data-access similarity to fetch shared data once from disaggregated memory to compute nodes. With caching and a fast communication layer, this reduces redundant transfers and significantly boosts multi-query performance versus isolated pipelines. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Andreas Geyer
- 2. Alexander Krause
- 3. Dirk Habich
- 4. Wolfgang Lehner
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