Traversing Large Graphs on GPUs with Unified Memory
Summary: Evaluates BFS on large graphs with unified memory, pinpointing slowdowns from host-memory access and irregular data patterns. Proposes HALO (Harmonic Locality Ordering), an offline pre-processing step for static graphs that yields 1.5x-1.9x speedups and ties locality ordering to graph compression via recursive bisection. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Prasun Gera
- 2. Hyojong Kim
- 3. Piyush Sao
- 4. Hyesoon Kim
- 5. David Bader
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,102 | Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture | 2021 | VLDB | 0.00014011556 |
| 5,711 | EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal in GPUs | 2021 | VLDB | 5.3603407e-05 |
| 5,811 | CGgraph: An Ultra-fast Graph Processing System on Modern Commodity CPU-GPU Co-processor | 2024 | VLDB | 5.3168243e-05 |
| 5,966 | Cache-Efficient Fork-Processing Patterns on Large Graphs | 2021 | SIGMOD | 5.2471834e-05 |
| 6,944 | Efficient Training of Graph Neural Networks on Large Graphs | 2024 | VLDB | 4.8875946e-05 |
| 6,983 | CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression | 2023 | SIGMOD | 4.8682622e-05 |
| 7,226 | Self-adaptive Graph Traversal on GPUs | 2021 | SIGMOD | 4.7910164e-05 |
| 8,161 | TOD: GPU-accelerated Outlier Detection via Tensor Operations | 2023 | VLDB | 4.5688249e-05 |
| 10,713 | Efficient Graph Data Access for Out-of-Memory GPU Streaming Graph Processing | 2025 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 341 | EmptyHeaded: A Relational Engine for Graph Processing | 2016 | SIGMOD | 0.00026850764 |
| 1,670 | Speedup Graph Processing by Graph Ordering | 2016 | SIGMOD | 0.00010944596 |
| 1,973 | Speeding Up Set Intersections in Graph Algorithms using SIMD Instructions | 2018 | SIGMOD | 9.8834701e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,867 | Towards Sufficient GPU-accelerated Dynamic Graph Management: Survey and Experiment | 2025 | VLDB | 4.1905499e-05 |
| 1,670 | Speedup Graph Processing by Graph Ordering | 2016 | SIGMOD | 0.00010944596 |
| 4,578 | Accelerating Dynamic Graph Analytics on GPUs | 2018 | VLDB | 6.0651154e-05 |
| 5,811 | CGgraph: An Ultra-fast Graph Processing System on Modern Commodity CPU-GPU Co-processor | 2024 | VLDB | 5.3168243e-05 |
| 1,684 | Fast Iterative Graph Computation with Block Updates | 2013 | VLDB | 0.00010912102 |
| 3,488 | GPU-Accelerated Subgraph Enumeration on Partitioned Graphs | 2020 | SIGMOD | 7.0460627e-05 |
| 3,235 | iBFS: Concurrent Breadth-First Search on GPUs | 2016 | SIGMOD | 7.3298263e-05 |
| 5,711 | EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal in GPUs | 2021 | VLDB | 5.3603407e-05 |
| 7,226 | Self-adaptive Graph Traversal on GPUs | 2021 | SIGMOD | 4.7910164e-05 |
| 4,525 | GPU-based Graph Traversal on Compressed Graphs | 2019 | SIGMOD | 6.1087614e-05 |