標(biāo)題：JXPAMG: a parallel algebraic multigrid solver for extreme‐scale numerical simulations
報(bào)告時(shí)間：2024年4月19日（星期五）09:30-10:15
報(bào)告地點(diǎn)：線(xiàn)上騰訊會(huì)議（會(huì)議ID:823811930 密碼:35091)
主講人：岳孝強(qiáng)
主辦單位：數(shù)學(xué)與統(tǒng)計(jì)學(xué)院
報(bào)告內(nèi)容簡(jiǎn)介：
JXPAMG is a parallel algebraic multigrid (AMG) solver for solving the extreme-scale, sparse linear systems on modern supercomputers. JXPAMG features the following characteristics: 1) It integrates some application-driven parallel AMG algorithms, including αSetup-AMG (adaptive Setup based AMG), AI-AMG (algebraic interface based AMG) and AMG- PCTL (physical-variable based coarsening two-level AMG); 2) A hierarchical parallel sparse matrix data structure, labeled hierarchical parallel Compressed Sparse Row (hpCSR), that matches the computer architecture is designed, and the highly scalable components based on hpCSR are implemented; 3) A flexible software architecture is designed to separate algo- rithm development from implementation. These characteristics allow JXPAMG to use different AMG strategies for different application features and architecture features, and thereby JXPAMG becomes aware of changes in these features. We will introduce the algorithms, implementation techniques and applications of JXPAMG.
主講人簡(jiǎn)介：
岳孝強(qiáng)，湘潭大學(xué)教授，目前主要從事偏微分方程數(shù)值計(jì)算以及并行軟件研發(fā)等研究工作。在SIAM J. Sci. Comput.、J. Sci. Comput.、Communications in Computational Physics、Computers & Mathematics with Applications、Computers & Fluids等期刊上已發(fā)表學(xué)術(shù)論文30余篇。主持國(guó)防基礎(chǔ)科研核科學(xué)挑戰(zhàn)專(zhuān)題、國(guó)家自然科學(xué)基金青年項(xiàng)目與湖南省自然科學(xué)基金青年項(xiàng)目等。現(xiàn)為FASP、JXPAMG、和ParaDiag軟件包的主要研發(fā)成員，擔(dān)任美國(guó)數(shù)學(xué)學(xué)會(huì)《數(shù)學(xué)評(píng)論》評(píng)論員。
