cuMatch: A GPU-based Memory-Efficient Worst-case Optimal Join Processing Method for Subgraph Queries with Complex Patterns
Summary: cuMatch: GPU-based memory-efficient unified worst-case optimal join for subgraph queries with complex patterns (negative/optional edges). single multi-way join prevents intermediate data explosion; new partitioning, scheduling, and task-fusion techniques yield strong memory efficiency and speed, beating prior methods by orders of magnitude. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Sungwoo Park
- 2. Seyeon Oh
- 3. Min-Soo Kim
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