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