文献类型：期刊文献

中文题名：A Hierarchical Task Graph Parallel Computing Framework for Chemical Process Simulation

作者：Shifeng Qu[1];Shaoyi Yang[1];Wenli Du[1];Zhaoyang Duan[1];Feng Qian[1];Meihong Wang[2]

机构：[1]Key Laboratory of Smart Manufacturing in Energy Chemical Process,Ministry of Education,East China University of Science and Technology,Shanghai 200237,China;[2]Department of Chemical and Biological Engineering,The University of Sheffield,Sheffield S13JD,UK

年份：2025

卷号：51

期号：8

起止页码：229

中文期刊名：Engineering

外文期刊名：工程(英文)

基金：supported by the National Key Research and Development Program of China(2022YFB3305900);the National Natural Science Foundation of China(Key Program)(62136003);the National Natural Science Foundation of China(62394345);the Major Science and Technology Projects of Longmen Laboratory(LMZDXM202206);the Fundamental Research Funds for the Central Universities.

语种：英文

中文关键词：Parallel computing;Process simulation;Task graph parallelism;Sequential modular approach

摘要：Sequential-modular-based process flowsheeting software remains an indispensable tool for process design,control,and optimization.Yet,as the process industry advances in intelligent operation and maintenance,conventional sequential-modular-based process-simulation techniques present challenges regarding computationally intensive calculations and significant central processing unit(CPU)time requirements,particularly in large-scale design and optimization tasks.To address these challenges,this paper proposes a novel process-simulation parallel computing framework(PSPCF).This framework achieves layered parallelism in recycling processes at the unit operation level.Notably,PSPCF introduces a groundbreaking concept of formulating simulation problems as task graphs and utilizes Taskflow,an advanced task graph computing system,for hierarchical parallel scheduling and the execution of unit operation tasks.PSPCF also integrates an advanced work-stealing scheme to automatically balance thread resources with the demanding workload of unit operation tasks.For evaluation,both a simpler parallel column process and a more complex cracked gas separation process were simulated on a flowsheeting platform using PSPCF.The framework demonstrates significant time savings,achieving over 60%reduction in processing time for the simpler process and a 35%–40%speed-up for the more complex separation process.