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Vidushi: Parallel Implementation of Alpha Miner Algorithm and Performance Analysis on CPU and GPU Architecture

机译:Vidushi:Alpha Miner算法的并行实现以及CPU和GPU架构的性能分析

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摘要

Process Aware Information Systems (PAIS) are IT systems which support business processes and generate event-logs as a result of execution of the supported business processes. Alpha Miner is a popular algorithm within Process Mining which consists of discovering a process model from the event-logs. Discovering process models from large volumes of event-logs is a computationally intensive and a time consuming task. In this paper, we investigate the application of paralleliza-tion on Alpha Miner algorithm. We apply implicit multithreading parallelism and explicit parallelism through parfor on it offered by MATLAB (Matrix Laboratory) for multi-core Central Processing Unit (CPU). We measure performance gain with respect to serial implementation. Further, we use Graphics Processor Unit (GPU) to run computationally intensive parts of Alpha Miner algorithm in parallel. We achieve highest speedup on GPU reaching till 39.3× from the same program run over multi-core CPU. We conduct experiments on real world and synthetic datasets.
机译:流程感知信息系统(PAIS)是支持业务流程并由于执行受支持的业务流程而生成事件日志的IT系统。 Alpha Miner是Process Mining中流行的算法,包括从事件日志中发现过程模型。从大量事件日志中发现流程模型是一项计算量大且耗时的任务。在本文中,我们研究了并行化在Alpha Miner算法上的应用。我们通过MATLAB(Matrix Laboratory)为多核中央处理器(CPU)提供的parfor应用隐式多线程并行和显式并行。我们衡量与串行实现有关的性能提升。此外,我们使用图形处理器单元(GPU)并行运行Alpha Miner算法的计算密集型部分。与在多核CPU上运行的相同程序相比,我们在GPU上实现了最高的加速,达到了39.3倍。我们在现实世界和综合数据集上进行实验。

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