ANSYS 17.1 FEA Benchmarks using v17-sp5

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The CUBE machines that I used in this ANSYS Test Case represent a fine balance based on price, performance and ANSYS HPC licenses used.

Click Here for more information on the engineering simulation workstations and clusters designed in-house at PADT, Inc.. PADT, Inc. is happy to be a premier re-seller and dealer of Supermicro hardware.

  • ANSYS Benchmark Test Case Information.
  • ANSYS HPC Licensing Packs required for this benchmark
    • I used (2) HPC Packs to unlock all 32 cores.
  • Please contact your local ANSYS Software Sales Representative for more information on purchasing ANSYS HPC Packs. You too may be able to speed up your solve times by unlocking additional compute power!
  • What is a CUBE? For more information regarding our Numerical Simulation workstations and clusters please contact our CUBE Hardware Sales Representative at SALES@PADTINC.COM Designed, tested and configured within your budget. We are happy to help and to  listen to your specific needs.

Figure 1 – ANSYS benchmark data from three excellent machines.

CUBE
CUBE by PADT, Inc. ANSYS Release 17.1 FEA Benchmark

BGA (V17sp-5)

BGA (V17sp-5)
Analysis Type Static Nonlinear Structural
Number of Degrees of Freedom 6,000,000
Equation Solver Sparse
Matrix Symmetric

Click Here for more information on the ANSYS Mechanical test cases. The ANSYS website has great information pertaining to the benchmarks that I am looking into today.

Pro Tip –> Lastly, please check out this article by Greg Corke one of my friends at ANSYS, Inc. I am using the ANSYS benchmark data fromthe Lenovo Thinkstation P910 as a baseline for my benchmark data.  Enjoy Greg’s article here!

  • The CPU Information

The benchmark data is derived off of the running through the BGA (sp-5) ANSYS test case. CPU’s and how they perform with one of the very latest ANSYS releases, ANSYS Release 17.1.

  1.  Intel® Xeon® e5-2680 V4
  2.  Intel® Xeon® e5-2667 V4
  3.  Intel® Xeon® e5-2697a V4
  • It Is All About The Data
    • Only one workstation was used for the data in this ANSYS Test Case
    • No GPU Accelerator cards are used for the data
    • Solution solve times are in seconds
ANSYS 17.1 Benchmark BGA v17sp-5
Lenovo ThinkStation P910 2680 V4 CUBE w16i 2667 V4 CUBE w32i 2697A V4
Cores Customer X  – 28 Core @2.4GHz/ea CUBE w16i CUBE w132i tS
2 1016 380.9 989.6 1.03
4 626 229.6 551.1 1.14
8 461 168.7 386.6 1.19
12 323 160.7 250.5 1.29
16 265 161.7 203.3 1.30
20 261 0 176.9 1.48
24 246 0 158.1 1.56
28 327 0 151.8 2.15
31 0 0 145.2 2.25
32 0 0 161.7 2.02
15-Nov-16 PADT, Inc. – Tempe, AZ –
  • Cube w16i Workstation – Windows 10 Professional
    1 x 4U CUBE APPLIANCE
    2 x 8c @3.2GHz/ea
    Dual Socket motherboard
    256GB DDR4-2400 MHz LRDIMM
    6 x 600GB SAS3 15k RPM
    NVIDIA QUADRO K6000
  • CUBE w32i Workstation – Windows 10 Professional
    1 x 4U CUBE APPLIANCE
    2 x 16c @2.6GHz/ea
    Dual Socket motherboard
    256GB DDR4-2400 MHz LRDIMM
    2 x 600GB SAS3 15k RPM
    NVIDIA QUADRO M4000
  • Lenovo Thinkstation P910 Workstation – Windows 10 Professional
    Lenovo P910 Workstation
    2 x 14c @2.4GHz/ea
    Dual Socket motherboard
    128GB DDR4-2400 MHz
    512GB NVMe SSD / 2 x 4TB SATA HDD / 512GB SATA SSD
    NVIDIA QUADRO M2000

As you will may have noticed above, the CUBE workstation with the Intel Xeon e5-2697A V4 had the fastest solution solve time for one workstation.

  • *** Using 31 cores the CUBE w32i finished the sp-5 test case in 145.2 seconds.

See 32 Cores of Power! CUBE by PADT, Inc.

cube-w32i-cores CUBE w32i

CUBE w32i

CUBE by PADT, Inc. of ANSYS 17.1 Benchmark Data for sp-5
CUBE by PADT, Inc. of ANSYS 17.1 Benchmark Data for sp-5

Thank you!

http://www.cube-hvpc.com/

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