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

QLogic Confidential4

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

App: ANSYS FLUENT 12.1.11 and 13.0

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

Performance Profiles

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Performance Profile

ANSYS FLUENT 12.1 vs. ANSYS FLUENT 13.0

• 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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0

2000

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6000

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12000

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Aircraft_2M Sedan_4m Eddy_417k Truck_14M Truck_Poly_14M Truck_111m

ANSYS FLUENT Comparison16-nodes/192-cores

FLUENT r12.1

FLUENT r13.0

11%53%

7%

1% 13%

-2%

Profile: User and MPI Overhead

16-Nodes/192-Cores

• ANSYS FLUENT 13 achieves a 14%

better average rating across the

seven tests. In producing these better

results:

• Utilizes an average of 2% less time in

computing

• Increased MPI communications by an

average of 4%

QLogic Confidential7

Benchmark Name Usage v12.1.11 v13.0 % Change

aircraft_2m Rating 9818.2 10922.9 11%

User Time 39.33% 35.82% -9%

MPI time 60.67% 64.18% 6%

sedan_4m Rating 7912.1 12134.8 53%

User Time 49.62% 49.31% -1%

MPI time 50.38% 50.69% 1%

eddy_417k Rating 12272.7 13110.8 7%

User Time 30.51% 27.81% -9%

MPI time 69.49% 72.19% 4%

truck_14m Rating 1497.1 1511 1%

User Time 48.00% 38.51% -20%

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%

Fluent Version

Profile: MPI Functions

Eddy_417

• 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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ANSYS FLUENT 12.1.11 ANSYS FLUENT 13.0

Profile: MPI Functions

Truck_111

• 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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ANSYS FLUENT 12.1.11 ANSYS FLUENT 13.0

Profile: Message Rate

Eddy_417K & Truck_111M

Eddy_417K Model

• ANSYS FLUENT 13.0 sends 8% less messages at 192-cores

• Average message size at 192-cores is 15% smaller with 13.0

• 97% of the messages are less than 1K in size

Truck_111M Model

• ANSYS FLUENT 13.0 sends 57% less messages at 192-cores

• Average message size at 192-cores is 66% larger with13.0

• 98% of the messages are less than 65K in size

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Take a

Test

Dri

ve

QLogic NETtrack Developer Center

Test Drive Program

• Test Drive your models/simulations at the QLogic NETtrack Developer

Center

• Range of Configurations

• Nodes, Cores, Memory

• Interconnects

• Storage

• Determine the Optimal Performance Setup for your Business

Get Started – Contact us at hpcinfo@ansys.com

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