计算科学中的导向：中尺度建模与模拟
Steering in computational science: mesoscale modelling and simulation
摘要：
本文概述了高性能计算应用程序的计算转向的好处。格子玻尔兹曼介观尺度流体模拟的二元和三元两亲性流体在二维和三维被用来说明计算转向提供的资源效率和时间方面的实质性改进，以发现新的物理。我们讨论了我们目前的转向实现的细节，并描述了他们的未来前景与计算网格的出现。
英文摘要：
This paper outlines the benefits of computational steering for high performance computing applications. Lattice-Boltzmann mesoscale fluid simulations of binary and ternary amphiphilic fluids in two and three dimensions are used to illustrate the substantial improvements which computational steering offers in terms of resource efficiency and time to discover new physics. We discuss details of our current steering implementations and describe their future outlook with the advent of computational grids.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
