Dynamic Graphs on the GPU
Muhammad A. Awad, Saman Ashkiani, Serban D. Porumbescu, John D. Owens
Abstract
We present a fast dynamic graph data structure for the GPU. Our dynamic graph structure uses one hash table per vertex to store adjacency lists and achieves 3.4-14.8x faster insertion rates over the state of the art across a diverse set of large datasets, as well as deletion speedups up to 7.8x. The data structure supports queries and dynamic updates through both edge and vertex insertion and deletion. In addition, we define a comprehensive evaluation strategy based on operations, workloads, and applications that we believe better characterize and evaluate dynamic graph data structures.
Topics & Concepts
Computer scienceHash tableAdjacency listVertex (graph theory)Data structureGraphHash functionGraph algorithmsParallel computingTheoretical computer scienceAlgorithmProgramming languageGraph Theory and AlgorithmsCaching and Content DeliveryAdvanced Data Storage Technologies