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Thread: AMD OpenCL APP SDK Beats Intel's Own SDK On Ivy Bridge

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  1. #1
    Join Date
    Jan 2007
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    Default AMD OpenCL APP SDK Beats Intel's Own SDK On Ivy Bridge

    Phoronix: AMD OpenCL APP SDK Beats Intel's Own SDK On Ivy Bridge

    Here are some OpenCL benchmarks from the Intel Ivy Bridge CPU. Being compared though is AMD's APP SDK, which does support running OpenCL on x86 CPUs, to Intel's CPU-based OpenCL SDK for Linux. To some surprise, AMD's Accelerated Parallel Processing SDK when using the Ivy Bridge CPU is actually faster than the Intel OpenCL SDK on the same hardware.

    http://www.phoronix.com/vr.php?view=17469

  2. #2
    Join Date
    Jun 2011
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    840

    Default Irony

    Quote Originally Posted by Michael
    This is a bit ironic that AMD's OpenCL environment is actually faster on Intel hardware than Intel's own code.
    Even more ironic would be a few years ago when Intel crippled performance for AMD CPUs in the Intel Compiler Suite (ICC), and some would say still does to some degree (although, i haven't payed close attention / kept track ).

    Now, it turns out AMD's OpenCL APP SDK actually improves performance on Intel's CPU. awesome

    funny shit.

  3. #3

    Default

    Intel should just deprecate their SDK in favor of (and contribute to) the open source one - like they're doing with MESA. I'm sure someone over at intel has done some math and figured out that AMD is benefitting from Intel's work to MESA, so now it's AMD's turn to return the favor so to say.

    1+ for the users.

    Plus Intel could re-allocate some of it's resources elsewhere. Like another dev for MESA maybe? :-)
    Last edited by halfmanhalfamazing; 06-13-2012 at 04:07 PM.

  4. #4

    Default

    It's funny because AMD can't even write software, so what does that say about intel.

  5. #5
    Join Date
    Sep 2009
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    344

    Default The problem is Intel really doesn't like OpenCL.

    It highlights the weakest link in their hardware. AMD though can actually benefit from strong OpenCL support. It is actually a great selling point, use our software and even if your code runs on Intel hardware you will get the best performance.

    As to bench marking I'd really love to see some graphs of better i86 hardware and the better GPUs side by side. This to determine if there really is an advantage to those expensive GPUs. An APU or two thrown in the mix would be nice.

  6. #6
    Join Date
    Sep 2008
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    Default

    What's the point of OpenCL on the CPU? Using fairly "meh" AMD graphics cards with a rather poorly-optimized OpenCL implementation (Catalyst) you can easily get more than twice the performance than a high-end CPU. If you switch to an Nvidia Kepler GPU on the Nvidia binary, holy cow look out, can we say ZING? Or, you know, Tesla dedicated compute cards (with no graphics ports) are probably the best, since they are specifically designed for GPGPU.

    If we assign a Core i7 3770K using an ideal software OpenCL implementation a score of "1", you'd have a chart looking something like this:
    Core i7 3770K CPU: 1
    Core i7 3770K GPU: 1.5? (haven't actually tested but it isn't going to be nearly as fast as a discrete chip)
    Radeon HD6870: 2
    Radeon HD7970: 4 or 5
    Nvidia GTX 680: 8 to 10
    Nvidia Tesla K10 (single precision only): 20

    Considering you'd need 20 Ivy Bridge CPUs to equal the throughput of a K10 which costs $2900, but each of those CPUs would also need a motherboard and RAM and PSU, making it way more expensive... you're probably better off going with the K10. Just a guess.

    So the use cases for these devices turn out being something like:

    1: I want to run LuxMark for 5 minutes just for fun! ---> Use Ivy Bridge 3770K CPU OpenCL.
    2. I want to encode a casual, short video for YouTube faster than my CPU could do it! ---> Use a desktop or laptop Radeon or GeForce with a video codec supporting OpenCL. Or if you have working drivers, use Intel QSV.
    3. I want to get in on the next big IPO before Warren Buffet's cronies! ---> Use a Tesla K10 (or many of them).

  7. #7
    Join Date
    Jul 2010
    Location
    Melbourne, Australia
    Posts
    117

    Default Hmm

    Would it make any difference to say that the developer of LuxMark uses the AMD APP SDK to develop LuxMark, on a AMD GPU system? (Was 5850 + 2* 5870's at one time)

    Now I know OpenCL is meant to run on any supported hardware, but if LuxMark was written with the Intel OpenCL SDK for Intel CPU's first (given different optimizations could have made a difference) then perhaps it could be faster with the Intel OpenCL solution.

    I only suggest this because of how LuxMark was faster on AMD hardware (before the crippled OpenCL even more) and if nVidia hardware could have been faster if written in CUDA, or OpenCL targeted to the Fermi architecture.

    I'm no programmer though, so input from someone who might be able to agree/debunk what I said would be good :P

    Also +1 AMD

  8. #8
    Join Date
    Jun 2009
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    Russia
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    18

    Default

    Quote Originally Posted by chris200x9 View Post
    It's funny because AMD can't even write software, so what does that say about intel.
    hah, i have tried intel code composer studio once. Thats lolware.

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