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\abstract{ | ||
In this document we describe LDBC Graphalytics, an industrial-grade benchmark for graph analysis platforms. | ||
In this document, we describe LDBC Graphalytics, an industrial-grade benchmark for graph analysis platforms. | ||
The main goal of Graphalytics is to enable the fair and objective comparison of graph analysis platforms. | ||
Due to the diversity of bottlenecks and performance issues such platforms need to address, Graphalytics consists of a set of selected deterministic algorithms for full-graph analysis, standard graph datasets, synthetic dataset generators, and reference output for validation purposes. | ||
Its test harness produces deep metrics that quantify multiple kinds of systems scalability, weak and strong, and robustness, such as failures and performance variability. | ||
The benchmark also balances comprehensiveness with runtime necessary to obtain the deep metrics. | ||
The benchmark comes with open-source software for generating performance data, for validating algorithm results, | ||
for monitoring and sharing performance data, and | ||
for obtaining the final benchmark result as a standard performance report. | ||
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