Jaiswal, SD and Simmhan, Y (2019) A partition-centric distributed algorithm for identifying euler circuits in large graphs. In: 33rd IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2019, 20 - 24 May 2019, Rio de Janeiro, pp. 452-459.
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Abstract
Finding the Eulerian circuit in graphs is a classic problem, but inadequately explored for parallel computation. With such cycles finding use in neuroscience and Internet of Things for large graphs, designing a distributed algorithm for finding the Euler circuit is important. Existing parallel algorithms are impractical for commodity clusters and Clouds. We propose a novel partition-centric algorithm to find the Euler circuit, over large graphs partitioned across distributed machines and executed iteratively using a Bulk Synchronous Parallel (BSP) model. The algorithm finds partial paths and cycles within each partition, and refines these into longer paths by recursively merging the partitions. We describe the algorithm, analyze its complexity, and validate it on Apache Spark for large graphs. Our experiments show that memory pressure still limits weak and strong scaling, and we propose an enhanced design to address it.
| Item Type: | Conference Paper |
|---|---|
| Publication: | Proceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2019 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Additional Information: | The copyright for this article belongs to the Authors. |
| Keywords: | Graphic methods; Iterative methods; Timing circuits, Bulk synchronous parallel models; Commodity clusters; Data platform; Distributed graph algorithms; Distributed systems; Eulerian circuits; Memory pressure; Parallel Computation, Clustering algorithms |
| Department/Centre: | Division of Interdisciplinary Sciences > Computational and Data Sciences |
| Date Deposited: | 25 Oct 2022 09:43 |
| Last Modified: | 25 Oct 2022 09:43 |
| URI: | https://eprints.iisc.ac.in/id/eprint/77533 |
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