Clementi: Efficient Load Balancing and Communication Overlap for Multi-FPGA Graph Processing
Summary: Clementi is a multi-FPGA graph-processing framework with fine-grained compute and cross-FPGA pipelines to tackle irregular data transfer and workload skew. A precise execution-time model enables a scheduler that balances load and overlaps communication with computation, delivering up to 8.75x speedups and near-linear scalability. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Feng Yu
- 2. Hongshi Tan
- 3. Xinyu Chen
- 4. Yao Chen
- 5. Bingsheng He
- 6. Weng-fai Wong
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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 |
| 37 | Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud | 2012 | VLDB | 0.0007522744 |
| 1,676 | Speedup Graph Processing by Graph Ordering | 2016 | SIGMOD | 0.00010946423 |
| 1,678 | Navigating the Maze of Graph Analytics Frameworks using Massive Graph Datasets | 2014 | SIGMOD | 0.00010933417 |
| 3,670 | A Distributed Multi-GPU System for Fast Graph Processing | 2018 | VLDB | 6.8567044e-05 |
| 6,289 | Cardinality Estimation of Subgraph Matching: A Filtering-Sampling Approach | 2024 | VLDB | 5.1275309e-05 |
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