HPC Parallel Computing for CFD - Customer Examples (2 of 4)
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This document discusses high-performance parallel computing (HPC) solutions from ANSYS for computational fluid dynamics (CFD). It provides examples of how HPC allows companies to reduce turnaround time, examine more design variants faster, and simulate larger/more complex models. Specific applications from racing boat design, turbocharger optimization, and oil field processing are described. Performance benchmarks show scaling of ANSYS CFD solvers on multi-core CPUs and GPUs, with efficiencies over 80% on large core counts. HPC is presented as key to remaining competitive by removing computing limitations and allowing larger simulations.
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HPC Parallel Computing for CFD - Customer Examples (2 of 4)
- 1. © 2014 ANSYS, Inc. July 11, 20141 Customer Examples of High-Performance Parallel Computing for CFD Wim Slagter, Ph.D ANSYS, Inc. Series of 4 Presentations on HPC 1: High-Performance Parallel Computing for FEA 2: High-Performance Parallel Computing for CFD 3: High-Performance Parametric Computing for FEA 4: High-Performance Parametric Computing for CFD
- 2. © 2014 ANSYS, Inc. July 11, 20142 High Performance Computing (HPC) at ANSYS: An ongoing effort designed to remove computing limitations from engineers who use computer aided engineering in all phases of design, analysis, and testing. It is a hardware and software initiative! HPC Defined
- 3. © 2014 ANSYS, Inc. July 11, 20143 Why HPC? Impact product design Enable large models Allow parametric studies Turbulence Combustion Particle Tracking Assemblies CAD-to-mesh Capture fidelity Multiple design ideas Optimize the design Ensure product integrity
- 4. © 2014 ANSYS, Inc. July 11, 20144 Why HPC? Results indicate very substantial returns for investments in HPC: $356 dollars on average in revenue per dollar of HPC invested $38 dollars on average of profits (or cost savings) per dollar of HPC invested Key Findings: Financial ROI Results Source: IDC report “Creating Economic Models Showing the Relationship Between Investments in HPC and the Resulting Financial ROI and Innovation”; October 2013, IDC #243296, Volume: 1.
- 5. © 2014 ANSYS, Inc. July 11, 20145 Take Advantage of the HPC Revolution Recent advances have revolutionized the computational speed available on the desktop • Multi-core processors o Every core is really an independent processor • Large amounts of RAM • SSDs • GPUs
- 6. © 2014 ANSYS, Inc. July 11, 20146 Typical HPC Growth Path Cluster UsersDesktop User Workstation and/or Server Users
- 7. © 2014 ANSYS, Inc. July 11, 20147 Our HPC Solutions for CFD HPC-enabled solutions: • Fluid Dynamics (bundled and solver) products: o Fluent, CFX, CFD-Flo, CFD Professional, Icepak, Polyflow HPC processing solutions for running: • A simulation – in parallel (simultaneously) – on multiple cores: o ANSYS HPC, ANSYS HPC Pack, ANSYS HPC Workgroup • Parametric simulations on multiple cores simultaneously: o ANSYS HPC Parametric Pack
- 8. © 2014 ANSYS, Inc. July 11, 20148 High-Performance Parallel Computing
- 9. © 2014 ANSYS, Inc. July 11, 20149 Summary Design Impact HPC Parallel Usingtoday’smulticorecomputersiskeyfor companiesto remaincompetitive.ANSYSHPCproductsuiteallowsscalability towhatevercomputationallevelrequired,fromsingle-useror smallusergroupoptionsat entry-leveluptovirtuallyunlimited parallelcapacityorlarge usergroupoptionsat enterpriselevel. • Reduce turnaround time • Examine more design variants faster • Simulate larger or more complex models
- 10. © 2014 ANSYS, Inc. July 11, 201410 Application Example Benefit of HPC Parallel - Examine More Design Variants Objective Advance in racing boat design to sustain medal- winning performances at Olympic games. ANSYS Solution • ANSYS CFX is used to optimize the fluid dynamics for different classes of racing kayaks. • Using HPC, transient simulations of moving boats can be accomplished in just two or three days. Design Impact Using HPC, the FES engineers were able to efficiently consider up to 20 different virtual designs per boat class, and from those 20 designs they gained enough confidence to build a single prototype for testing. Images courtesy of FES Click here to read the full story
- 11. © 2014 ANSYS, Inc. July 11, 201411 Application Example Benefit of HPC Parallel - Increase High-Fidelity Insight Objective Full-stage simulations of turbochargers for diesel engines are needed to reliably understand and optimize their performance prior to physical prototyping. ANSYS Solution • ANSYS CFX simulations deliver near-linear parallel processing on 160-core HPC system upgrade. • ANSYS HPC performance delivers ability to consider 5 full-stage compressor or turbine designs in a few hours (compared to many days prior to upgrade). Design Impact ANSYS HPC is enabling Cummins to use larger models with greater geometric details and more-realistic treatment of physical phenomena to generate results in less time. Images courtesy of Cummins Turbo Technologies Click here to read the full story
- 12. © 2014 ANSYS, Inc. July 11, 201412 Application Example Benefit of HPC Parallel - Increase High-Fidelity Insight Objective Overtake the technological challenges on flow assurance and subsea oil processing present on the new pre-salt oil fields. ANSYS Solution • Transient multiphase simulations with ANSYS Fluent are used to understand the sand transportation inside the kilometres long production lines • ANSYS HPC performance together with advanced multiphase models and dynamic meshing features enable Petrobras to virtually reproduce critical scenarios and complex operation. Design Impact Very detailed CFD simulations are providing Petrobras important physical insights that are guiding the design of the new tendency of upstream processing systems at oil industry.
- 13. © 2014 ANSYS, Inc. July 11, 201413 Intel Xeon E5-2690v2 processors (3 GHz, 20 cores total) with 128 GB of RAM. 0 200 400 600 800 1000 1200 1400 1p 2p 4p 6p 8p 10p 12p 14p 16p 18p 20p solver ratings Processes (or Cores) Geometric mean 0 2 4 6 8 10 12 14 16 1p 2p 4p 6p 8p 10p 12p 14p 16p 18p 20p Speedup processesSpeedup Higher is Better HPC Parallel Scaling of ANSYS Fluent - Faster with More Compute Cores on Dual Processors
- 14. © 2014 ANSYS, Inc. July 11, 201414 Each node has 2 X 12-core Intel Xeon E5-2600 v2 processors (2.4 GHz, 1600 MHz) with 64 GB of RAM. InfiniBand FDR. 0 2 4 6 8 10 12 14 HPC Parallel Scaling of ANSYS Fluent - Faster with More Compute Cores at Multiple Nodes 24 48 96 192 384 Number of Cores Speedup
- 15. © 2014 ANSYS, Inc. July 11, 201415 Hexa mesh (830.000 cells) Standard K-Epsilon Turbulence Model VOF multiphase model (3 phases): Molten Steel Foamy Slag Oxygen 0 1 2 3 4 5 6 7 12 24 36 48 60 72 Speedup cores ideal speedup measured speedup cores overall time (h) measured speedup ideal speedup 12 0.56 1.00 1 24 0.29 1.94 2 36 0.21 2.60 3 48 0.17 3.33 4 72 0.12 4.76 6 Courtesy of MORE S.r.l. HPC Parallel Scaling of ANSYS Fluent - Faster with More Compute Cores for Complex Physics
- 16. © 2014 ANSYS, Inc. July 11, 201416 R&D effort to improve HPC scaling in CFX • Basic & physics specific scaling areas • Significantly improved scalability – Up to 89% efficiency at 2048 cores – HPC improvements are “beta” level for R15.0 4X faster Courtesy Siemens AG, Müllheim, Germany, Paper GT2013-94639 5X faster • Six Stage Axial Compressor • 13M nodes • 14 domains, 12 mixing planes • Duct case • 150M nodes HPC Parallel Scaling of ANSYS CFX - Faster with More Compute Cores at Multiple Nodes
- 17. © 2014 ANSYS, Inc. July 11, 201417 Sedan Model Sedan geometry 3.6M mixed cells Steady, turbulent External aerodynamics Coupled PBNS, DP Intel Xeon E5-2680; 8 CPU cores 2 Tesla K40 GPUs CPU + GPU Segregated solver 1.9x Coupled solver CPU only CPU only 15 Jobs/day 12 Jobs/day 27 Jobs/day Convergence criteria: 10e-03 for all variables; No of iterations until convergence: segregated CPU-2798 iterations (7070 secs); coupled CPU-967 iterations (5900 secs); coupled 985 iterations (3150 secs) NOTE: Times for total solution until convergence HPC Parallel Scaling of ANSYS Fluent - Performance on Newest GPUs at R15.0 Higher is Better
- 18. © 2014 ANSYS, Inc. July 11, 201418 16 Jobs/day 25 Jobs/day HPC Parallel Scaling of ANSYS Fluent - Performance on Newest GPUs at R15.0 CPU Benefit 100% 25% 100% 56% GPU Cost Simulation productivity from CPU-only system Additional productivity from GPUs CPU-only solution cost Additional cost of adding GPUs Simulation productivity (with an HPC Workgroup 64 license) 64 CPU cores 56 CPU cores + 8 Tesla K40 Truck Model External aerodynamics 14 million cells Steady, k-e turbulence Coupled PBNS, DP Intel Xeon E5-2680; 64 CPU cores on 8 sockets 8 Tesla K40 GPUs Higher is Better
- 19. © 2014 ANSYS, Inc. July 11, 201419 ANSYS Advantages HPC Parallel - Final Remarks • Superior and proven parallel scalability above 80% efficiency with as low as 10,000 cells per CPU core, providing the ability to – Run bigger models at smaller hardware – Run smaller models at higher core counts • Solvers required for complex physics (chemistry, multiphase) are highly optimized to run fast and deliver outstanding parallel scaling on today’s multicore processors • ANSYS provides flexible, scalable, and cost-attractive HPC licensing! Images courtesy of Voith Turbo and MORE S.r.l. Click here why scalability matters
- 20. © 2014 ANSYS, Inc. July 11, 201420 Watch recorded webinars by clicking below: • Understanding Hardware Selection for ANSYS 15.0 • How to Speed Up ANSYS 15.0 with GPUs • Intel Technologies Enabling Faster, More Effective Simulation • Why HPC for ANSYS Mechanical and CFD Click on webinars related to HPC/IT for more and upcoming ones! Connect with me on LinkedIn by clicking on Wim Slagter Further Information
- 21. © 2014 ANSYS, Inc. July 11, 201421 THANK YOU!