文献类型：期刊文献

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

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

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Univ Sheffield, Dept Chem & Biol Engn, Sheffield S1 3JD, England

年份：2025

卷号：51

起止页码：229

外文期刊名：ENGINEERING

收录：;EI(收录号：20252818774270);WOS:【SCI-EXPANDED(收录号:WOS:001565648300018)】；

基金：This work was 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) , and the Fundamental Research Funds for the Central Universities.

语种：英文

外文关键词：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. (c) 2025 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).