報(bào)告人：A.A. Lubrecht 教授
報(bào)告題目：High Performance Computing
報(bào)告時間：2024年9月30日下午2：30（星期一）
報(bào)告地點(diǎn)：泉山校區(qū)12# 6樓報(bào)告廳
主辦單位：機(jī)電工程學(xué)院、科學(xué)技術(shù)研究院
報(bào)告人簡介：
A.A. Lubrecht 教授于1987年6月畢業(yè)于荷蘭屯特(Twente)大學(xué)，獲博士學(xué)位，1987-1988,在以色列魏茨曼科學(xué)研究所讀博士后，1993年起以全職教授身份在歐洲著名摩擦學(xué)研究機(jī)構(gòu)-法國里昂國立應(yīng)用科學(xué)學(xué)院機(jī)械接觸與結(jié)構(gòu)實(shí)驗(yàn)室（LaMCoS INSA/CNRS UMR 5259）工作。他是將多重網(wǎng)格方法（一種高性能數(shù)值算法）引入流體潤滑領(lǐng)域的第一人，曾或現(xiàn)任多家國際摩擦學(xué)雜志副主編（如wear、Tribology International、 ASME Journal of Tribology），在國際摩擦學(xué)界具有重要影響。發(fā)表國際雜志論文250多篇，引用次數(shù)超6000次；出版的書籍《Multilevel Method in Lubrication》是摩擦潤滑領(lǐng)域內(nèi)的一部著作。
報(bào)告摘要：
Advanced problems in Mechanical Engineering and Physics require numerical solutions, as analytical solutions can no longer be found.
With these problems becoming more and more complex, the number of unknowns or the number of degrees of freedom is quickly
approaching 10^9 to 10^10.
The current talk will describe two ways of limiting the computing time for these large problems on medium cost computers
(say 10 k$).
The first way deals with Advance Numerical Methods, in this case MultiGrid. MultiGrid allows the user to solve large and complex problems very rapidly and efficiently.
The second way deals with dedicated hardware, since two decades Graphical Processing Units (GPU) have shown amazing
price/performance characteristics. Engineers can to use the GPU power to solve huge problems in three different ways:
- Libraries exploiting GPU exist for many codes (ABAQUS, ANSYS, AUTOCAD, CATIA, FLUENT, MATLAB, .....)
- Open Acces Code
- Programming Languages (CUDA)
With the rise of Artificial Intelligence (AI), running on (NVIDIA) GPU's the development of new and more powerfull GPU's
has seen an acceleration, the spread of AI provides a big market for these GPU's, keeping prices down.
Engineers can benefit from these development to solve very large problems, by using one or BOTH tools (software & hardware).