Generalizing Bulk-Synchronous Parallel Processing for Data Science: From Data to Threads and Agent-Based Simulations
Summary: Generalizes BSP for data science to agent simulations with local sync via partitions, preserving correctness. CloudCity, distributed engine exploiting partitions to boost compute and synchronization; evaluated against BSP-like systems. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Zilu Tian
- 2. Peter Lindner
- 3. Markus Nissl
- 4. Christoph Koch
- 5. Val Tannen
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,525 | Using Process Calculus for Optimizing Data and Computation Sharing in Complex Stateful Parallel Computations | 2025 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD | 0.0019005923 |
| 396 | One Trillion Edges: Graph Processing at Facebook-Scale | 2015 | VLDB | 0.00024424102 |
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