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

arXiv: https://arxiv.org/abs/2204.04898 · HTML: https://mlsanity.com/paper/2204.04898/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Apr 2022.

## Built on by (most cited first, 1 of 1)

- [Identifying the Key Attributes in an Unlabeled Event Log for Automated Process Discovery](https://mlsanity.com/paper/2301.12829/) (2023)

## Abstract (arXiv)

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.