ANSYS FLUENT Performance Intel Xeon 5675 Comparison ANSYS FLUENT 12.1 to ANSYS ...

13 Pages·2011·1.88 MB·English

by  Joe Yaworski

ANSYS FLUENT Performance
Intel Xeon 5675 Comparison
ANSYS FLUENT 12.1 to ANSYS FLUENT 13.0
Performance Testing Performed
at
QLogic NETtrack Developer Center
Agenda
• Partners in the Testing
• Test Configuration
• Performance Profile
• Difference in Performance Rating
• User and MPI Utilization Differences
• MPI Function Calls
• Message Rate
• NETtrack Developer Center
• ANSYS Customer Test Drive Program
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Partners in the Testing
• The information contained within this document was generated in QLogic’s
NDC laboratory
• Participating parties: ANSYS, Dell, Intel and QLogic
• Cluster Resources: NETTrack Developer Center (NDC) Dell C6100 – Sapphire II
• For more info regarding participants, please refer to the following sites:
www.qlogic.com, www.Dell.com, www.ansys.com, www.Intel.com
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NDC – Test Configuration
Server: Dell PowerEdge C6100 (Sapphire-II)
CPU: 2 - Intel Xeon X5675 @ 3.07 GHz (Hex Core)
Mem: 48GB (12x4G) DDR3 @ 1333MHz
OS: RHEL 5.5 / Kernel 2.6.18-194.el5
ANSYS FLUENT 12.1.11 and 13.0
App:
MPI: Platform MPI
HCA: QLE7340 - QDR InfiniBand
Stack: OFED 1.5.2
Switch: 12300 - 36-port QDR InfiniBand
F/W: 6.0.2.1.11
Settings: 4K MTU 1 Virtual Lane
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Performance Profiles
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Performance Profile
ANSYS FLUENT 12.1 vs. ANSYS FLUENT 13.0
ANSYS FLUENT Comparison
16-nodes/192-cores
14000
7%
53%
11% FLUENT r12.1
12000
FLUENT r13.0
10000
8000
6000
4000
13%
1%
2000
-2%
0
Aircraft_2M Sedan_4m Eddy_417k Truck_14M Truck_Poly_14M Truck_111m
• 14% average performance improvement with ANSYS FLUENT 13.0 across the seven benchmark tests
• Greatest performance improvement shown with Sedan (k-eps Turbulence model with Pressure-Based
Coupled Implicit solver). Significant gains due to new hybrid parallel implementation in ANSYS FLUENT 13.0
• Least performance gains shown with Truck_14M and Truck_111M benchmark tests, both tests use DES
Turbulence model with Segregated Implicit solver
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Profile: User and MPI Overhead
16-Nodes/192-Cores
Fluent Version
Benchmark Name Usage v12.1.11 v13.0 % Change
aircraft_2m Rating 9818.2 10922.9 11%
User Time 39.33% 35.82% -9%
• ANSYS FLUENT 13 achieves a 14%
MPI time 60.67% 64.18% 6%
better average rating across the
sedan_4m Rating 7912.1 12134.8 53%
User Time 49.62% 49.31% -1% seven tests. In producing these better
MPI time 50.38% 50.69% 1%
results:
eddy_417k Rating 12272.7 13110.8 7%
User Time 30.51% 27.81% -9% • Utilizes an average of 2% less time in
MPI time 69.49% 72.19% 4% computing
truck_14m Rating 1497.1 1511 1%
• Increased MPI communications by an
User Time 48.00% 38.51% -20%
average of 4%
MPI time 52.00% 61.49% 18%
truck_poly_14m Rating 1346.8 1525.7 13%
User Time 47.76% 40.41% -15%
MPI time 52.24% 59.59% 14%
truck_111m Rating 180.6 176.9 -2%
User Time 30.51% 44.99% 47%
MPI time 69.49% 55.01% -21%
Average Change Rating 31%
User Time -2%
MPI time 4%
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Profile: MPI Functions
Eddy_417
ANSYS FLUENT 12.1.11 ANSYS FLUENT 13.0
• The following are the most used calls– MPI_Iprobe (stat gathering), MPI_Isend,
MPI_Irecv, MPI_ALLreduce
• The following calls produce the most Overhead: MPI_Recv, MPI_Allreduce,
MPI_Barrier, MPI_Init, MPI_Waitall, MPI_Iprobe, MPI_Isend.
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Profile: MPI Functions
Truck_111
ANSYS FLUENT 12.1.11 ANSYS FLUENT 13.0
• The following are the most used calls– MPI_Iprobe (stat gathering), MPI_Isend,
MPI_Irecv, MPI_ALLreduce
• The following calls produce the most Overhead (73%): MPI_Recv, MPI_Allreduce,
MPI_Waitall.
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Profile: Message Rate
Eddy_417K & Truck_111M
Eddy_417K Model Truck_111M Model
• ANSYS FLUENT 13.0 sends 8% less • ANSYS FLUENT 13.0 sends 57% less
messages at 192-cores messages at 192-cores
• Average message size at 192-cores is • Average message size at 192-cores is
15% smaller with 13.0 66% larger with13.0
• 97% of the messages are less than 1K in • 98% of the messages are less than 65K in
size size
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