1. Valiant, L.G.: A bridging model for parallel computation. Commun. ACM 33(8), 103–111 (1990)
2. Malewicz, G., et al.: Pregel: a system for large-scale graph processing. In: Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2010), pp. 135–146. Indianapolis (2010)
3. Zhang, W.D., Cui, C.: Delta-stepping synchronous parallel model. J. Softw. 30(12), 3622–3636 (2019)
4. Khorasani, F., Vora, K., Gupta, R., Bhuyan, L.N.: PowerGraph: distributed graph-parallel computation on natural graphs. Oper. Syst. Des. Implementation 17–30 (2012)
5. Low, Y., Gonzalez, J.E., Kyrola, A., Bickson, D., Guestrin, C.E., Hellerstein, J.: Graphlab: a new framework for parallel machine learning. Comput. Sci. (2014)