Dataflow Computing for Engineering Fluid Simulations (DFC4EFS)

工程流体模拟的数据流计算 (DFC4EFS)

• 批准号: 102261
• 金额: $ 29.78万
• 依托单位: MAXELER TECHNOLOGIES LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2015
• 资助国家: 英国
• 起止时间: 2015 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=102261
• 关键词: Dataflow; Computing; Engineering; Fluid; Simulations

HPC has given many companies the ability to perform more complex fluid simulation on large clusters of CPU or GPU based nodes. These simulations consume large amounts of power, but are required for engineering more efficient products. This project will explore the use of the innovative Dataflow Computing paradigm, pioneered by Maxeler Technologies with their Dataflow Engines, to significantly increase the performance of CFD simulation, while improving on the energy efficiency of the whole simulation process. The main objective is therefore to map an engineering CFD code onto Maxeler's Dataflow Engines and demonstrate through the running of typical turbomachinery testcases the improvements in energy consumption of the simulation while affording a step-change in computational performance. The innovative aspects of the project are (1) the use of Dataflow computing programming paradigm for CFD; (2) the deployment of Dataflow Engines in an industrial strength engineering simulation application.

HPC使许多公司能够在基于CPU或GPU的节点的大型集群上执行更复杂的流体模拟。这些模拟消耗大量的电力，但需要工程更高效的产品。该项目将探索使用创新的数据流计算范式，由Maxeler Technologies及其数据流引擎开创，以显着提高CFD模拟的性能，同时提高整个模拟过程的能源效率。因此，主要目标是将工程CFD代码映射到Maxeler的数据流引擎上，并通过运行典型的CFD测试用例来证明模拟能耗的改善，同时提供计算性能的阶跃变化。该项目的创新方面是（1）使用CFD的数据流计算编程范例;（2）在工业强度工程模拟应用中部署数据流引擎。