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作 者:CHENG Tang-pei LIU Xing-wei SHAO Jing-Li CUI Ya-li
机构地区:[1]Institute of Applied Physics and Computational Mathematics [2]CAEP Software Center for High Performance Numerical Simulation [3]School of Water Resources and Environmental Science,China University of Geosciences (Beijing)
出 处:《Journal of Groundwater Science and Engineering》2016年第1期12-17,共6页地下水科学与工程(英文版)
基 金:supported by the National Basic Research Program (973 Program) of China under Grant No.2010CB428804 and 2011CB 309702
摘 要:The desire to increase spatial and temporal resolution in modeling groundwater system has led to the requirement for intensive computational ability and large memory space. In the course of satisfying such requirement, parallel computing has played a core role over the past several decades. This paper reviews the parallel algebraic linear solution methods and the parallel implementation technologies for groundwater simulation. This work is carried out to provide guidance to enable modelers of groundwater systems to make sensible choices when developing solution methods based upon the current state of knowledge in parallel computing.The desire to increase spatial and temporal resolution in modeling groundwater system has led to the requirement for intensive computational ability and large memory space. In the course of satisfying such requirement, parallel computing has played a core role over the past several decades. This paper reviews the parallel algebraic linear solution methods and the parallel implementation technologies for groundwater simulation. This work is carried out to provide guidance to enable modelers of groundwater systems to make sensible choices when developing solution methods based upon the current state of knowledge in parallel computing.
关 键 词:GROUNDWATER flow simulation PARALLEL ALGEBRAIC ALGORITHMS Krylov subspacemethods PRECONDITIONING GPU COMPUTING PARALLEL COMPUTING framework
分 类 号:P641[天文地球—地质矿产勘探]
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