富士通：配备富学的商业应用：Cradle CFD、CONVERGE
富士通：
6 月 23 日，它在超级计算机“Fugaku”上使用流体分析等模拟商业应用程序执行。
我们与应用程序供应商合作证明，可以高速执行大规模、高清分析。
富士通超级计算机：PRIMEHPC
PRIMEHPC 使用了 Fugaku 的技术。
适用于制造业需求量很大的商业应用程序
与制造公司进行操作验证和性能改进，
计划从 6 月开始按顺序提供。
商业应用支持：
商业应用
大规模高速计算 Fugaku、PRIM EHPC 系列等
与超级计算机一起使用。
有很多优点，例如“您可以使用客户拥有的商业应用程序”。
高速仿真结果：
使商业应用程序运行得更快
执行性能分析，消除瓶颈，
进行了调谐。
我们应用并行处理技术，以高并行度进行高效计算。
8个商业应用：
至此，我们已经完成了8个商业应用的运行验证。
3个商业应用：
关于3个商业应用
在使用 Fugaku 的大规模分析中，
获得了高速、高清晰度的仿真结果。
分析的使用领域：
分析飞机巴菲特：
巴菲特对影响飞机安全的振动现象进行了分析和预测。
利用高达 192,000 个 Fugaku 的 CPU 内核，
热流体分析 Cradle CFD | scFLOW 并行执行，
解析2.37亿元素的高清模型，
使用 LES 分析方法再现了精细涡流。
汽车发动机燃烧分析：
提高汽车的燃油经济性和环境性能等。
发动机能效提升分析。
使用 Fugaku的最多 4620 个 CPU 进行演示。
分析由于发动机中活塞的运行而引起的气缸内的燃烧等化学反应。
燃烧分析，
通过并行计算进行热流体分析“CONVERGE”
我确认可以在 2 小时内完成。
云看
https://cloud.watch.impress.co.jp/docs/news/1333393.html
Fujitsu Demonstrates High Performance Simulations for Industrial Use Cases with Commercial Applications on the World’s Fastest Supercomputer,
Fugaku News
Facts:
Fujitsu has successfully demonstrated that large-scale, high-definition analysis can be performed with commercial applications widely used in the industrial space on the supercomputer
Fugaku Fujitsu is additionally validating operations of commercial applications widely used by industrial customers on its PRIMEHPC series
Vendors will begin to offer applications optimized for Fugaku and the PRIMEHPC series from June 2021
1. Improvement of aircraft safety
During flight, an aircraft may experience a vibration phenomenon called buffet, which affects its safety and flight stability.
Predicting buffet vibration is an important issue for aircraft safety design.
This time, by executing the thermal fluid analysis application Cradle CFD | scFLOW (3) in parallel using the maximum possible 192,000 out of Fugaku’s total number of CPU cores (4) of Fugaku and analyzing a high-definition model of 237 million elements with LES (5),
which is an analysis method capable of expressing fine vortexes, it was possible to observe a phenomenon whereby pressure vibration and fine vortexes are generated on the surface of the blade.
This makes it possible to predict the buffet effect in greater detail than the conventional RANS (6) analysis method using a coarse calculation grid.
This proved that large-scale analyses leading to the safe design of aircraft taking into account the buffet could be calculated.
2. Improvement of energy efficiency of automobile engines
Improving the energy efficiency of engines is an important issue for improving the fuel efficiency and environmental performance of automobiles.
A combustion analysis
that takes into account a series of chemical reactions, such as combustion inside a cylinder caused by piston action in the engine, was performed in two hours with parallel calculation using the thermal fluid analysis application CONVERGE (7) using up to 4,620 CPU cores of Fugaku’s cores.
In this analysis,
the entire region was divided by a high-precision calculation grid (up to 6.67 million grids) of 0.5 mm units, and the use of LES made it possible to successfully obtain high-precision results showing a wrinkled flame structure, which would prove difficult with conventional RANS analysis.
As a result, highly accurate analysis
can be performed even during the limited time required for design work in the manufacturing industry, which is expected to lead to improvements in engine energy efficiency and reductions in abnormal combustion.
3. Reduction of energy loss in driving motors for electric vehicles
To improve the energy efficiency of electric and hybrid vehicles, it is necessary to reduce energy loss in the driving motor.
One of the methods to calculate the loss generated by IPM motors (8) used in electric vehicles, etc.,
with high accuracy is to model the steel sheet of the iron core constituting the motor one by one, and to use the method to input the current containing harmonics.
Conventional x86 clusters require several weeks to complete the calculation,
but using Fugaku’s 8,192 CPU cores and running them in parallel in the electromagnetic field analysis application JMAG (9), it can be done in a day (10).
As a result, it is expected that analysis leading to improved energy efficiency in electric vehicles can be performed in a shorter time.
Fujitsu Global
https://www.fujitsu.com/global/about/resources/news/press-releases/2021/0623-02.html