Fujitsu: Equipped with commercial application in Fugaku: Cradle CFD, CONVERGE
Fujitsu:
On June 23, it was executed on the supercomputer “Fugaku” using a commercial application for simulation such as fluid analysis.
We have demonstrated in collaboration with app vendors that large-scale, high-definition analysis can be performed at high speed.
FUJITSU Supercomputer: PRIMEHPC
PRIMEHPC utilizes Fugaku’s technology.
For commercial apps that are in high demand in the manufacturing industry
Conducted operation verification and performance improvement with manufacturing companies,
Scheduled to be available sequentially from June.
Commercial application support:
The commercial application as it is
Large-scale high-speed calculation Fugaku, PRIM EHPC series, etc.
Use with a supercomputer.
There are great merits such as “you can utilize commercial applications owned by customers”.
High-speed simulation result:
So that commercial apps run fast
Perform performance analysis, eliminate bottlenecks,
Tuning was carried out.
We applied parallel processing technology to calculate efficiently in high parallel.
8 commercial apps:
As a result, we have completed the operation verification of eight commercial applications.
3 commercial apps:
About 3 commercial apps
In a large-scale analysis using Fugaku,
High-speed, high-definition simulation results were obtained.
Areas of use of analysis:
Analyzing Aircraft Buffett:
Buffett was analyzed and vibration phenomenon was predicted, which affects the safety of aircraft.
Utilizing up to 192,000 CPU cores of Fugaku,
Thermo-fluid analysis Cradle CFD | scFLOW is executed in parallel,
Analyzing a high-definition model of 237 million elements,
A fine vortex was reproduced with the analysis method LES.
Automotive engine combustion analysis:
To improve fuel efficiency and environmental performance of automobiles, etc.
Analysis of energy efficiency improvement in engines.
Demonstrated using a maximum of 4620 CPUs from Fugaku.
Analyzes chemical reactions such as combustion in the cylinder due to the operation of the piston in the engine.
Combustion analysis,
Thermo-fluid analysis “CONVERGE” by parallel calculation
We confirmed that it can be done in 2 hours.
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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