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arXiv · 2112.12704

Deterministic Parallel Hypergraph Partitioning

Lars Gottesbüren·Michael Hamann
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Abstract

Balanced hypergraph partitioning is a classical NP-hard optimization problem with applications in various domains such as VLSI design, simulating quantum circuits, optimizing data placement in distributed databases or minimizing communication volume in high-performance computing. Engineering parallel heuristics for this problem is a topic of recent research. Most of them are non-deterministic though. In this work, we design and implement a highly scalable deterministic algorithm in the state-of-the-art parallel partitioning framework Mt-KaHyPar. On our extensive set of benchmark instances, it achieves similar partition quality and performance as a comparable but non-deterministic configuration of Mt-KaHyPar and outperforms the only other existing parallel deterministic algorithm BiPart regarding partition quality, running time and parallel speedups.

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Lars Gottesbüren, Michael Hamann. 2021-12-23. Deterministic Parallel Hypergraph Partitioning. https://arxiv.org/abs/2112.12704

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