The multilevel heuristic is the dominant strategy for high-quality sequential and parallel graph partitioning. Partition refinement is a key step of multilevel graph partitioning. In this work, we present Jet, a new parallel algorithm for partition refinement specifically 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 compared to state-of-the-art shared memory partitioners on a large collection of test graphs.

翻译：多层级启发式方法是实现高质量串行及并行图划分的主导策略。划分细化是多层级图划分的关键步骤。本文提出Jet——一种专为图形处理器（GPU）设计的并行划分细化算法。我们将Jet与GPU感知粗化技术相结合，开发出k路图划分器——Jet划分器。在大量测试图集上，该新划分器相比现有最先进的共享内存划分器实现了更优的划分质量。