PM4Py-GPU: a High-Performance General-Purpose Library for Process Mining
Not on the map. Why?
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 11 Apr 2022.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2023: 1.
1 paper.