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Meeting Manufacturing’s Need for Production Supercomputing Tony DeVarco Director of Virtual Product Design Manufacturing Solutions
3 ©2016 SGI
Challenges Manufacturing Companies Are Facing
ImageCourtesyofANSYS
• The need to increase engineering productivity. • Speed up product development time. • Reduce physical prototyping to save time and costs. • Inefficient use of expensive ISV licenses. • Need to maintain multiple geographically distributed engineering
facilities. • Distributed workstations cannot interact with computer resources and
data in the corporate data centers. • Need to replace workstations with low-cost, remote clients.
4 ©2016 SGI
Pre/Post Model and Mesh
Creation and Visualization
CEM Computational
Electromagnetics
CFD Computational Fluid Dynamics
CSM* Explicit
Workload Scheduling
SGI® Management Center and SGI® Performance Suite
SGI® Scale-up and Scale-out Computing Solutions
Workload Scheduling Tool
Linux OS
Nastran ANSYS® Mechanical ABAQUS/Standard
ADINA Permas
LS-DYNA PAM-CRASH
RADIOSS ABAQUS Madymo
ANSYS® FLUENT OpenFOAM®
StarCCM+ PowerFLOW
CFD++ Pam-Flow
FEKO ANSYS® HFSS
CST FMSlib
ANSA Hypermesh
Gambit Patran
Altiar Hyperworks ANSYS EKM SimManager
ABAQUS/CAE d3View
SDM Simulation Data
Management
CSM* Implicit
Nastran ANSYS® Mechanical ABAQUS/Standard
ADINA Permas
Altair RADIOSS LS-DYNA
PAM-CRASH ABAQUS Madymo
Altair AcuSolve ANSYS® FLUENT
OpenFOAM®
StarCCM+ PowerFLOW
ANSYS® HFSS Altair FEKO
CST ANSYS Maxwell 3D
Altair Hypermesh ABAQUS/CAE
ANSA Gambit Patran
Altiar Hyperworks ANSYS EKM SimManager
d3View
SGI® Vizserver®
SGI Hardware 3rd Party Software CAE Segments * CSM Is Computational Structural Mechanics
SGI Software SGI Services
SG
I Services
SGI® Solution Environment and CAE Application Segments
6 ©2016 SGI
SGI ICE XA System Used
SGI and ANSYS Scaling Fluent 17.2 to a New Record of 145,152 Cores
• A great example using a balanced production supercomputer is illustrated in a recent setting of a new commercial CFD benchmark for the widely-used ANSYS application.
• Specifically, ANSYS and SGI application engineers worked together to achieve a new world record, scaling ANSYS Fluent® on SGI® ICE™ XA, which is one of the world’s fastest commercial distributed-memory supercomputer platforms.
7 ©2016 SGI
0
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Speedu
p
Cores
Combustor830M--Fluent17.2
ICE-XA--E5-2697v4--2.30GHz LinearScaling
GasCombustor830McellModel,CourtesyofANSYS
In the test, SGI ran Fluent on 145,152 CPU cores, which is over 16,000 more cores than the previous record. The benefit of scaling to this level is that the total wall clock time to complete a simulation can be significantly reduced. In this case, a single simulation was completed in 13 seconds. In contrast, the same simulation run on 1,296 cores took 20 minutes.
9 ©2016 SGI
SGI® Origin 2000, 1996 MIPS R10K
SGI Origin 3000, 1999 MIPS R12K
SGI® Altix® 3000, 2003 Intel Itanium
SGI Altix 4700, 2006 Intel Itanium SGI UV 1000, 2010
Intel E7 SGI UV 300, 2014
Intel E7 SGI UV 2000/3000, 2012/2015
Intel E5
Seven Generations of Shared Memory Systems: 1996–2015
10
The Best of DMP and SMP in One Cache-Coherent System with One OS
SGI® InfiniteStorage™
NVIDIA® K5200 or M6000
Multiple Users and Multiple Jobs
Preprocessing, Mesh Generation
and Model Decomposition
Running Solvers
Post Processing and Visualization
UV rack layout for illustration purposes only.
Consolidate Workloads into One Easy-to-Administer System
11 ©2016 SGI
Image courtesy London Computational Solutions
• London Computational Solutions, headed by Mark Taylor, former Head of CFD at McLaren F1, is working with Elemental Cars, an advanced track car manufacturer.
• The goal of this effort is to improve the cornering speed of its RP1 car by using design elements to create an aerodynamic downforce that increases the vertical force on the car’s tires creating more grip with the road.
Elemental Cars
12 ©2016 SGI
• “When I was Principal Aerodynamicist for McLaren F1 Racing, and now as CEO of London Computational Solutions (LCS),” states Mark Taylor, “I relied on the SGI® UV™ shared memory platform to deliver the robustness, reliability, and efficiency to scale our CFD simulations to meet a tight manufacturing deadline and our aerodynamic performance targets.”
• “When LCS was presented with the aerodynamic challenge to improve the cornering speeds for a new British road-legal track car called Elemental RP1, I knew I could meet their requirements of a quick turnaround because the running of our CFD software on SGI UV would perform as advertised and just work.”
Image courtesy London Computational Solutions
Elemental Cars
13 ©2016 SGI
Examples of a fifth order accurate simulation of a full automotive car geometry.
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Elemental Cars