简介: |
The elasticity of cloud resources, global-on-demand availability, and the transfer of capital and operating costs to the cloud operator, are some of the compelling reasons to pursue a cloud deployment and allow institutions to focus on their raison-d’être. This paradigm shift in computing is irresistible, explaining why high technology companies are laser-focused on cloud deployment. However, for science and engineering problems, the potential and procedures for cloud computing are not obvious. One reason for this is the high data dependencies, when compared, for example, with search algorithms or typical enterprise resource simulations. Furthermore, highly complex, coupled, nonlinear partial differential equations have to be solved. The historical high-performance computing (HPC) procedures employed for these kinds of problems have not been cast in a cloud computing framework before. This talk will discuss pioneering work by the speaker and his colleagues on combining standard cloud computing procedures with HPC in science and engineering. One resulting cloud application will be demonstrated live, using several high-speed aerospace applications, including an aerodynamic analysis over complete Boeing 747-200 aircraft. Problem set up, analysis, and three-dimensional visualizations on the cloud will be demonstrated (in Beijing, China) on a server farm located in New York, USA. A. MODELING FOR NOISE REDUCTION STRATEGIES 1) A hierarchy of noise prediction methods - TALK IA 2) Simulation of noise emission and reduction concepts for jet engines - TALK IB 3) Combustion-noise interaction modeling - TALK II B. COMPUTATIONAL FLUID MECHANICS OF SCRAMJET COMBUSTION 4) High-order CFD procedures - TALK IIIA 5) Recent LES modeling of scramjet combustion - TALK IIIB 6) State-of-the-art modeling of chemically-reacting supersonic two-phaseflows - TALK IIIC 7) Computational analysis of surrogate fuels with the flamelet method – TALK IV 时间:A:2012年6月26日 上午09:00-11:30 B: 2012年6月27日 上午09:00-11:30 地点:逸夫技术科学楼1512会议室 主办:清华大学航院流体力学研究所 欢迎各位老师同学参加!
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