Quad Xeon: the Quanta QSCC-4R Benchmark Configuration

CPU Quad Intel Xeon "Westmere-EX" E7-4870
(10 core/20 threads at 2.4GHz, 2.8GHz Turbo, 30MB L3, 32nm)
RAM 32 x 4GB (128GB) Samsung Registered DDR3-1333 at 1066MHz
Motherboard QCI QSSC-S4R 31S4RMB00B0
Chipset Intel 7500
BIOS version QSSC-S4R.QCI.01.00.S012,031420111618
PSU 4 x Delta DPS-850FB A S3F E62433-004 850W

The quad Xeon configuration is equipped with 128GB RAM to make sure that all memory channels are filled.

Dual Xeon: ASUS RS700-E6/RS4 Configuration

CPU Dual Intel Xeon “Westmere” X5670
(6 core/12 threads at 2.93GHz, 3.33GHz Turbo, 12MB L3, 32nm)
RAM 12 x 4GB (48GB) ECC Registered DDR3-1333
Motherboard ASUS Z8PS-D12-1U
Chipset Intel 5520
BIOS version Version 1.003
PSU Delta Electronics DPS-770 AB 770W

The dual Xeon server in contrast "only" has 48GB. This has no influence on the benchmark results, as the benchmarks use considerably less RAM.

Quad Opteron: Dell PowerEdge R815 Benchmarked Configuration

CPU Quad AMD Opteron "Magny-Cours" 6174
(12 cores at 2.2GHz, 12MB L3, 45nm)
RAM 16x4GB (64GB) Samsung Registered DDR3-1333 at 1333MHz
Motherboard Dell Inc 06JC9T
Chipset AMD SR5650
BIOS version v1.1.9
PSU 2 x Dell L1100A-S0 1100W

We reviewed the powerful but compact Dell R815 here. This time we're running 64GB, though again the amount of RAM was selected to make sure memory performance is optimized rather than for usage requirements.

Introduction to Server Benchmarking Cinebench Release 11.5
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  • jaguarpp - Friday, September 30, 2011 - link

    what if instead of using a full program, create a small test program that is compiled for each platform something like
    declare variables int, floats, arrays to test diferent workloads
    put the variables on loops and do some operation sum, div, the integers then the floats and so on measure the time that take to exit from each block
    the hardest part will be how to make it threadable
    and get acces to diferent compilers, maybe a friend?
    anyway great article i really enjoy it even when i never get close to that class of hardware
    thanks very much for the reading
  • Michael REMY - Friday, September 30, 2011 - link

    very interesting analyze but...why use a score in cinebench instead a time render score ?

    Time result are more meaning for common and pro user than integer score !
  • MrSpadge - Friday, September 30, 2011 - link

    Because time is totally dependent on the complexity of your scene, output resolution etc. And the score can be directly translated into time if you know the time for any of the configurations tested.

  • Casper42 - Friday, September 30, 2011 - link

    Go back to Quanta and see if they have a newer BIOS with the Core Disable feature properly implemented. I Know the big boys are now implementing the feature and it allows you to disable as many cores as you want as long as its done in pairs. So your 10c proc can be turned into 2/4/6/8 core versions as well.

    So for your first test where you had to turn HT off because 80 threads was too much, you could instead turn off 2 cores per proc and synthetically create a 4p32c server and then leave HT on for the full 64 threads.
  • alpha754293 - Sunday, October 2, 2011 - link

    "Hyper-Threading offers better resource utilization but that does not negate the negative performance effect of the overhead of running 80 threads. Once we pass 40 threads on the E7-4870, performance starts to level off and even drop."

    It isn't thread-locking that limits the performance. It isn't because it has to sync/coordinate 80-threads. It's because there's only 40 FPUs available to do the actual calculations on/with.

    Unlike virtualization, where thread locking is a real possiblity because there really isn't much in the way of underlying computations (I would guess that if you profiled the FPU workload, it wouldn't show up much), whereas for CFD, solving the Navier-Stokes equations requires a HUGE computational effort.

    it also depends on the means that the parallelization is done, whether it's multi-threading, OpenMP, or MPI. And even then, within different flavors of MPI, they can also yield different results; and to make things even MORE complicated, how the domain is decomposed also can make a HUGE impact on performance as well. (See the studies performed by LSTC with LS-DYNA).
  • alpha754293 - Sunday, October 2, 2011 - link

    Try running Fluent (another CFD) code and LS-DYNA.

    CAUTION: both are typically usually VERY time-intensive benchmarks, so you have to be very patient with them.

    If you need help in setting up standardized test cases, let me know.
  • alpha754293 - Sunday, October 2, 2011 - link

    I'm working on trying to convert an older CFX model to Fluent for a full tractor-trailer aerodynamics run. The last time that I ran that, it had about 13.5 million elements.
  • deva - Monday, October 3, 2011 - link

    If you want something that currently scales well, Terra Vista would be a good bet (although it is expensive).

    Have a look at the Multi Machine Build version.


    "...capability to generate databases of
    100+ GeoCells distributed to 256 individual
    compute processes with a single execution."

    That's the bit that caught my eye and made me think it might be useful to use as a benchmarking tool.

  • mapesdhs - Tuesday, October 4, 2011 - link

    Have you guys considered trying C-ray? It scales very well with no. of cores, benefits from as
    many threads as one can throw at it, and the more complex version of the example render
    scene stresses RAM a bit aswell (the small model doesn't stress RAM at all, deliberately so).
    I started a page for C-ray (Google for, "c-ray benchmark", 1st link) but discovered recently
    it's been taken up by the HPC community and is now part of the Phoronix Test Suite (Google
    for, "c-ray benchmark pts", 1st link again). I didn't create C-ray btw (creds to John Tsiombikas),
    just took over John's results page.

    Hmm, don't suppose you guys have the clout to borrow or otherwise have access to an SGI
    Altix UV? Would be fascinating to see how your tests scale with dozens of sockets instead of
    just four, eg. the 960-core UV 100. Even a result from a 40-core UV 10 would be interesting.
    Shared-memory system so latency isn't an issue.

  • shodanshok - Wednesday, October 5, 2011 - link

    Hi Johan,
    thank you for the very interesting article.

    The Hyperthreading ON vs OFF results somewhat surprise me, as Windows Server 2008 should be able to prioritize hardware core vs logical ones. Was this the case, or you saw that logical processors were used before full hardware core utilization? If so, you probably encounter one corner case were extensive hardware sharing (and contention) between two threads produce lower aggregate performance.


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