Mid-Level servers with large memory for CFD and MDO development

蒙特拉尔理工学院的计算工程小组(GRMIAO)是加拿大最大的计算流体力学(CFD)研究单位之一。它的成员都是国际公认的专家，在CFD方面有非常好的出版记录。他们的研究是由对分析和改进机械产品和系统性能的工具的需求推动的。飞机机翼周围的流动、水轮机部件中的流动以及医疗器械中的流动只是几个例子。GRMIAO的研究涵盖了CFD和多学科优化(MDO)活动的全部范围。其成员积极参与算法开发、代码原型制作和验证/确认活动等基本问题。他们还开发了解决与工业相关的流体力学问题的方法，并开发了涉及一个或多个学科的设计优化方法，以优化这些系统的性能。这种广泛的活动对计算环境提出了特殊的要求。需要足够灵活的中级服务器来高效地运行商业软件，同时为流动解算器的代码开发和原型制作提供高效的环境。这项提案要求资金购买四台中级服务器，以更换我们陈旧和过时的服务器，并为我们的团队(25-30名研究生和7-9名研究助理)提供足够的计算能力和内存，以保持在CFD领域的国际领先地位。目前的赠款申请是更新我们的计算基础设施的结构化战略的第三阶段，也是最后阶段。目前的RTI是用于我们的计算基础设施的中央组件，是在提交本申请之前获得的另外两个资金来源的顶盖。CFI团队奖(Garon As PI)指定资金用于购买大量高速磁盘，以存储PIV测量和CFD预测数据文件。我们还通过FQRNT团队设备赠款(Guibault As PI)预留了30,000美元，约占所需服务器总成本的18%。这些行动反映了这些机器对我们的研究的关键重要性和我们的高度承诺

The computational engineering group (GRMIAO) at École Polytechnique de Montréal is one of the largest Computational Fluid Dynamics (CFD) research unit in Canada. Its members are internationally recognized experts with very strong publication records in CFD. Their research is driven by the need for tools to analyze and improve the performance of mechanical products and systems. The flows around airplane wings, in hydraulic turbine components and in medical devices are but a few examples. The GRMIAO research covers the full spectrum of CFD and Multi-Disciplinary Optimization (MDO) activities. Its members are active on fundamental issues such as algorithm development, code prototyping and verification/validation activities. They also develop methodologies to attack fluid mechanics problems of industrial relevance and develop design optimization methods involving one or many disciplines to optimize the performance of these systems. This broad spectrum of activities places special demands on the computational environment. Mid-level servers are requested which are flexible enough to efficiently run commercial software while providing a productive environment for code development and prototyping of flow solvers. This proposal requests the funds to acquire four mid-level servers to replace our old and obsolete servers and provide our group (25-30 graduate students and 7-9 research assistants) with sufficient computing power and memory to maintain international leadership in CFD. The present grant application is the third and last phase of a structured strategy to renew our computational infrastructure. The present RTI is for the central components of our computational infrastructure and is the cap stone to two other sources of funds secured prior to submitting this application. A CFI Team award (Garon as PI) has funds earmarked for acquisition of substantial amounts of high speed disks to store PIV measurement and CFD prediction data files. We have also earmarked $30,000 or about 18% of the total cost of the requested servers through an FQRNT Team equipment grant (Guibault as PI). These actions reflect the critical importance of these machines for our research and the high level of our commitment