Engineering Simulation Solutions and HPC
Engineering Simulation Solutions and HPC
Engineering Simulation Solutions and HPC
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<strong>Engineering</strong> <strong>Simulation</strong> <strong>Solutions</strong> &<br />
High Performance Computing<br />
Timothy Kwan<br />
Regional Business Manager<br />
CAD-IT Consultants<br />
© 2007 ANSYS, Inc. All rights reser ved. 1 June 2007 ANSYS, Inc. Proprietar y
CAD-IT Consultants<br />
• Brief History :<br />
– Formed in 1991 (Singapore)<br />
– Malaysian operations started in 1994<br />
– China offices set up starting 1997<br />
– Thail<strong>and</strong> representative office opened in 2001<br />
• Regional channel partner for:<br />
– ANSYS simulation solutions: ANSYS Multiphysics, FLUENT, CFX,<br />
AUTODYN, Icepak etc<br />
– CEI visualization solutions: Ensight<br />
– SFTC’s metal forming processes simulation solution: DEFORM<br />
– Moldflow’s plastics flow simulation solutions: MPA, MPI etc<br />
– IMC’s problem solving <strong>and</strong> idea generation solution: Goldfire Innovator<br />
• HP, Microsoft WCCS <strong>and</strong> ANSYS collaboration partner<br />
© 2008 ANSYS, Inc. All rights reser ved. 2 ANSYS, Inc. Pr oprietary
What is CAE?<br />
• Computer-Aided <strong>Engineering</strong> (often referred to as CAE) is the use of<br />
information technology for supporting engineers in tasks such as<br />
– Analysis<br />
– <strong>Simulation</strong><br />
– Design<br />
– Manufacture<br />
– Planning<br />
– Diagnosis<br />
– Repair<br />
• CAE tools, are software that have been developed:<br />
– for providing support to the activities above<br />
– to analyze the robustness <strong>and</strong> performance of components <strong>and</strong><br />
assemblies<br />
– to help support design teams in decision making<br />
© 2008 ANSYS, Inc. All rights reser ved. 3 ANSYS, Inc. Pr oprietary
What is CAE?<br />
• CAE areas covered include:<br />
– Structural analysis on components <strong>and</strong> assemblies using FEA<br />
(Finite Element Analysis)<br />
– Thermal <strong>and</strong> fluid flow analysis using CFD (Computational<br />
Fluid Dynamics)<br />
– Rigid multibody dynamics or mechanical systems motion<br />
simulation<br />
– Analysis tools for process simulation of operations such as<br />
casting, molding, <strong>and</strong> die press forming<br />
– Optimization of the product or process<br />
© 2008 ANSYS, Inc. All rights reser ved. 4 ANSYS, Inc. Pr oprietary
CAE Technology Application Trends:<br />
Need More Fidelity<br />
No Missed Hot Spots!<br />
Where are the hotspots?<br />
• 10 load cases<br />
• Fatigue calculations<br />
• Known a priori?<br />
• Need to submodel?<br />
© 2008 ANSYS, Inc. All rights reser ved. 5 ANSYS, Inc. Pr oprietary
CAE Technology Application Trends:<br />
Reduce <strong>Engineering</strong> Time<br />
Direct CAD to Mesh<br />
• No defeaturing<br />
• No mid-planing<br />
• No shells<br />
• No beams<br />
• …<br />
No Simplifications!<br />
© 2008 ANSYS, Inc. All rights reser ved. 6 ANSYS, Inc. Pr oprietary
CAE Technology Application Trends:<br />
Model Complete Assemblies<br />
Work-Years to Work-Days!<br />
Model Complete Assembly<br />
• No BC assumptions<br />
• All parts CAD-to-mesh<br />
• Automatic contact<br />
© 2008 ANSYS, Inc. All rights reser ved. 7 ANSYS, Inc. Pr oprietary
CAE Technology Application Trends:<br />
Include All Physics<br />
Nano-sphere accuracy benchmark<br />
Courtesy: Andreas, Hieke<br />
Include All Physics<br />
• Analyses closely match<br />
reality<br />
• Reduced assumptions that<br />
question certainty <strong>and</strong><br />
compromise accuracy<br />
• Lower cost due to R&D<br />
process compression<br />
• Lower cost due to fewer<br />
analysis software tools to<br />
purchase, learn <strong>and</strong> manage<br />
No Simplified Behavior!<br />
© 2008 ANSYS, Inc. All rights reser ved. 8 ANSYS, Inc. Pr oprietary
CAE Technology Application Trends:<br />
More Underst<strong>and</strong>ing<br />
<strong>Simulation</strong> Driven Product Development<br />
• Underst<strong>and</strong> Completely<br />
• Innovate Consistently<br />
• Fail Early <strong>and</strong> Often<br />
© 2008 ANSYS, Inc. All rights reser ved. 9 ANSYS, Inc. Pr oprietary
Why Use Clusters For CAE?<br />
• Clusters enable bigger simulations (more accuracy)<br />
– Typical FEA models require 4-8 GB RAM<br />
• Today’s more dem<strong>and</strong>ing models might consume 100 GB<br />
– Typical CFD models require 2-10 GB RAM<br />
• Today’s more dem<strong>and</strong>ing models might consume 50-100 GB<br />
• Clusters deliver turnaround time<br />
– Clusters can yield nearly linear scaling<br />
• A typical simulation might run for 8 hours on a single CPU<br />
→Becomes 1 hour on an eight-core cluster<br />
• Clusters can scale up with dem<strong>and</strong><br />
– More simulations (more design options)<br />
• Optimization studies might require 50-100 simulations<br />
© 2008 ANSYS, Inc. All rights reser ved. 10 ANSYS, Inc. Pr oprietary
ANSYS <strong>and</strong> <strong>HPC</strong><br />
Computer Aided <strong>Engineering</strong> Software<br />
– for <strong>Simulation</strong> Driven Product Development<br />
• Deliver superior product designs<br />
– Explore innovations in features, function<br />
• Improve time to market<br />
– Faster <strong>and</strong> earlier than physical testing<br />
• Lower product development costs<br />
– Virtual prototyping vs. physical testing<br />
© 2008 ANSYS, Inc. All rights reser ved. 11 ANSYS, Inc. Pr oprietary
<strong>Simulation</strong> Drivers for <strong>HPC</strong><br />
~ 25 Million DOF Stress<br />
Analysis of a Front<br />
Suspension<br />
Number of Parts<br />
Contact Pairs<br />
Nodes<br />
CONTACT Elements<br />
SOLID186/187 Elements<br />
CEs<br />
No. of Equations (DOFs)<br />
75<br />
291<br />
8,080,601<br />
382,492<br />
5,438,005<br />
0<br />
24,241,803<br />
Modeled on a Desktop<br />
Solved on a Cluster<br />
© 2008 ANSYS, Inc. All rights reser ved. 12 ANSYS, Inc. Pr oprietary
<strong>Simulation</strong> Drivers for <strong>HPC</strong><br />
• GE CRD test for parallel scalability…<br />
towards full 360°blade row simulations<br />
– One passage mesh<br />
• approx. 1 M nodes<br />
– Full annulus of 92 passages<br />
• 88M nodes<br />
Number of<br />
Passages<br />
Mesh<br />
Nodes<br />
Definition<br />
File Size<br />
Number of<br />
CPUs<br />
True Wall<br />
Clock Time<br />
1 1.0M 20Mb 1 7.22 hrs<br />
92 88M 2407Mb 90 7.75 hrs<br />
Courtesy GE Corporate R&D Center<br />
© 2008 ANSYS, Inc. All rights reser ved. 13 ANSYS, Inc. Pr oprietary
ANSYS Mechanical <strong>HPC</strong><br />
11.0 SP1 Benchmark Suite<br />
© 2008 ANSYS, Inc. All rights reser ved. 14 ANSYS, Inc. Pr oprietary
Performance Results - ANSYS<br />
“ANSYS parallel processing has been a key enabler<br />
for our simulation group. We are now tackling jobs<br />
that we simply wouldn’t have before by moving<br />
towards complete system level analysis from single<br />
component analysis. The analysis team is now<br />
responding to the design team much faster with<br />
accurate results from ANSYS!”<br />
– Jason Longstaffe, Principal Engineer<br />
© 2008 ANSYS, Inc. All rights reser ved. 15 ANSYS, Inc. Pr oprietary
FLUENT 6.3 <strong>HPC</strong> on WCCS<br />
FLUENT 6.3.26 – FL5L1 (.86M), FL5L2 (3.6M)<br />
Microsoft Windows CCS<br />
HP CP3000 ProLiant BL460c<br />
Xeon Dual Core 3.0GHz Voltaire IB<br />
Over 26x<br />
faster on<br />
32 cores<br />
© 2008 ANSYS, Inc. All rights reser ved. 16 ANSYS, Inc. Pr oprietary
Performance Results - FLUENT<br />
“The ability to deploy a cluster using Windows<br />
Compute Cluster Server was very attractive to us,<br />
because it leverages our expertise <strong>and</strong> fits into our<br />
current computing environment. The deployment<br />
was quite smooth: we had our cluster up <strong>and</strong><br />
running FLUENT within two weeks. The integration<br />
of FLUENT with the Microsoft Job Scheduler is<br />
especially valuable, giving us the ability to manage<br />
<strong>and</strong> monitor multiple simulations on the cluster”.<br />
– Charles Ulrich, IT Manager, Alden Research<br />
Laboratory Inc.<br />
© 2008 ANSYS, Inc. All rights reser ved. 17 ANSYS, Inc. Pr oprietary
AUTODYN <strong>HPC</strong><br />
30<br />
25<br />
Relative Performance<br />
20<br />
15<br />
10<br />
AUTODYN<br />
Ideal Scaling<br />
5<br />
0<br />
1 2 4 8 16 24<br />
Number of Cores<br />
Blast<br />
Containment<br />
Analysis<br />
© 2008 ANSYS, Inc. All rights reser ved. 18 ANSYS, Inc. Pr oprietary
Performance Results - AUTODYN<br />
“By conducting these AUTODYN simulations<br />
prior to the physical test, WTD 52 is able to<br />
reduce the number of costly tests <strong>and</strong> to<br />
enhance the quality of the experimental<br />
investigations. As a result, time <strong>and</strong> cost<br />
savings can be achieved in most cases.”<br />
– Michael Klaus, Deputy Director WTD 52<br />
© 2008 ANSYS, Inc. All rights reser ved. 19 ANSYS, Inc. Pr oprietary
DEFORM <strong>and</strong> <strong>HPC</strong><br />
♦<br />
Metal forming involves very complex nonlinear<br />
processes<br />
♦<br />
DEFORM is used to:<br />
• Predict process behaviour before it’s tried on the shop floor<br />
• Identify root cause of defects which occur in production<br />
• Investigate alternatives<br />
♦<br />
Example:<br />
• Hot forging with flash of steering link<br />
• About 50,000 elements<br />
• Single stroke pressing
Link Time Test Results<br />
Computer<br />
Approx Cost<br />
Run Time<br />
Best<br />
affordable<br />
performance<br />
Hp xw8400 Intel 3.00GB 2x dual core<br />
Xeon. 8GB Ram<br />
$5500<br />
hr:min<br />
4 proc: 1:24<br />
HP DL 360 Intel Xeon 2 x Quad core<br />
(18 month old computer)<br />
Quad core chips are<br />
currently not<br />
recommended<br />
2 proc: 2:33<br />
4 proc: 2:08<br />
8 proc: 2:22<br />
HP XC Cluster – 4 nodes<br />
Each node 1 Xeon dual core<br />
Infinib<strong>and</strong> networking<br />
$40,000-$60,000<br />
(custom ordered)<br />
2 proc: 1:55<br />
4 proc: 1:11<br />
8 proc: 0:57<br />
Great<br />
performance<br />
under $1000<br />
HP a6130 AMD Athlon64 X2 5000+<br />
Dual core processor 3 GB RAM<br />
$700<br />
2 proc: 2:50<br />
HP xw9400 AMD Opteron \<br />
Dual Processor (about 3 years old)<br />
$6000<br />
(2 years ago)<br />
2 proc: 3:03<br />
Dell 1.7 GHz Dual Xeon processor<br />
(about 6 years old)<br />
About $3000<br />
(5 years ago)<br />
2 proc: 7:31
Cluster Performance –<br />
Large Model<br />
Weld Yoke forging<br />
CG-Direct<br />
Rigid Plastic w/p<br />
Non-isothermal<br />
- 600K tet<br />
8 processors<br />
CG FEM 15h 48m<br />
Remesh 8h 50m (#56)<br />
Total Time 24h 38m<br />
HP Linux Cluster, 4 nodes, 8 processors, 3.0GHz 5160 Xeon, 4GB memory<br />
Weld Yoke courtesy American Axle <strong>and</strong> Manufacturing
Ensight <strong>and</strong> <strong>HPC</strong><br />
• Extreme post-processing <strong>and</strong> visualization<br />
solutions for CFD/FEA/CAE systems<br />
• Ensight takes full advantage of parallel<br />
processing <strong>and</strong> cluster based rendering for<br />
analyzing, visualizing <strong>and</strong> communicating highend<br />
scientific <strong>and</strong> engineering datasets
Ensight <strong>and</strong> <strong>HPC</strong><br />
“Using EnSight as a communication tool is as important as the FEA<br />
analysis itself”<br />
Kumar Kulkarni, Lead FEA Analysis, VISTEON<br />
“The more realistic my analysis results look, the better my customers<br />
underst<strong>and</strong> them, <strong>and</strong> the larger my budget grows.”<br />
Jim Johnson, CFD Technical Lead, GM<br />
EnSight images courtesy of<br />
Sauber Petronas F1
Ensight DR<br />
Distributed Rendering with Vis Clusters<br />
Render client 1<br />
Render client 3<br />
Composite<br />
4 servers sending data to<br />
4 clients<br />
Render client 3 Render client 4
Ensight Animation<br />
EnSight animation by Advantage CFD for<br />
Honda F1 team
Ensight Animation<br />
POV-Ray animation of periodic ship oscillation<br />
Courtesy of Dr. Kenji Takizawa, Tokyo Institute of Technology
Thank You.<br />
Email: timothy.kwan@cadit.com.sg<br />
URL: www.cadit.com.sg