@article{f4c2294d2bb6422bb192e86078f68a6d,
  title     = "LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms",
  abstract  = "In this paper we introduce LDBC Graphalytics, a new industrial-grade benchmark for graph analysis platforms. It consists of six deterministic algorithms, standard datasets, synthetic dataset generators, and reference output, that enable the objective comparison of graph analysis platforms. Its test harness produces deep metrics that quantify multiple kinds of system scalability, such as horizontal/vertical and weak/strong, and of robustness, such as failures and performance variability. The benchmark comes with open-source software for generating data and monitoring performance. We describe and analyze six implementations of the benchmark (three from the community, three from the industry), providing insights into the strengths and weaknesses of the platforms. Key to our contribution, vendors perform the tuning and benchmarking of their platforms.",
  author    = "Alexandru Iosup and Tim Hegeman and Ngai, {Wing Lung} and Stijn Heldens and Arnau Prat-Pérez and Thomas Manhardt and Hassan Chafi and Mihai Capota and Narayanan Sundaram and Anderson, {Michael J.} and Tanase, {Ilie Gabriel} and Yinglong Xia and Lifeng Nai and Boncz, {Peter A.}",
  year      = "2016",
  doi       = "10.14778/3007263.3007270",
  volume    = "9",
  pages     = "1317--1328",
  journal   = "PVLDB",
  issn      = "2150-8097",
  publisher = "Very Large Data Base Endowment Inc.",
  number    = "13",
}

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It consists of six deterministic algorithms, standard datasets, synthetic dataset generators, and reference output, that enable the objective comparison of graph analysis platforms. Its test harness produces deep metrics that quantify multiple kinds of system scalability, such as horizontal/vertical and weak/strong, and of robustness, such as failures and performance variability. The benchmark comes with open-source software for generating data and monitoring performance. We describe and analyze six implementations of the benchmark (three from the community, three from the industry), providing insights into the strengths and weaknesses of the platforms. 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