Abstract
The multilevel heuristic is the dominant strategy for high-quality sequential and parallel graph partitioning. Partition refnement is a key step of multilevel graph partitioning. In this work, we present Jet, a new parallel algorithm for partition refnement specifcally designed for graphics processing units (GPUs). We combine Jet with GPU-aware coarsening to develop a k-way graph partitioner, the Jet partitioner. The new partitioner achieves superior quality when compared to state-of-the-art shared memory partitioners on a large collection of test graphs.
Original language | English (US) |
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Pages (from-to) | B700-B724 |
Journal | SIAM Journal on Scientific Computing |
Volume | 46 |
Issue number | 5 |
DOIs | |
State | Published - 2024 |
All Science Journal Classification (ASJC) codes
- Computational Mathematics
- Applied Mathematics