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Open-source process mining provides many algorithms for the analysis of eventdata which could be used to analyze mainstream processes (e.g., O2C, P2P, CRM).However, compared to commercial tools, they lack the performance and struggleto analyze large amounts of data. This paper presents PM4Py-GPU, a Pythonprocess mining library based on the NVIDIA RAPIDS framework. Thanks to thedataframe columnar storage and the high level of parallelism, a significantspeed-up is achieved on classic process mining computations and processingactivities.

PM4Py-GPU: a High-Performance General-Purpose Library for Process Mining