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AMD, and NVIDIA before it, has been trying to convince us of the usefulness of its GPUs for general purpose applications for years now. For a while it seemed as if video transcoding would be the killer application for GPUs, that was until Intel's Quick Sync showed up last year.

With Trinity, AMD has an answer to Quick Sync with its integrated VCE, however the performance is hardly as similar as the concept. In applications that take advantage of both Quick Sync and VCE, the Intel solution is considerably faster. While this first implementation of working VCE is better than x86 based transcoding on AMD's APUs, it still needs work:

Quick Sync's performance didn't move all users to Sandy/Ivy Bridge based video transcoding. One of its biggest limitations is the lack of good software support for the standard. We use applications like Arcsoft's Media Converter 7.5 and Cyber Link's Media Espresso 6.5 not because we want to, but because they are among the few transcoding applications that support Quick Sync. What we'd really like to see is support for Quick Sync in x264 or through an application like Handbrake.

The open source community thus far hasn't been very interested in supporting Intel's proprietary technologies. As a result, Quick Sync remains unused by the applications we want to use for video transcoding.

In our conclusion to this morning's Trinity review, we wrote that AMD's portfolio of GPU accelerated consumer applications is stronger now than it has ever been before. Photoshop CS6, GIMP, Media Converter/Media Espresso and WinZip 16.5 for the most part aren't a list of hardly used applications. These are big names that everyone is familiar, that many have actual seat time with. Now there's always the debate of whether or not the things you do with these applications are actually GPU accelerated, but AMD is at least targeting the right apps with its GPU compute efforts.

The list is actually a bit more impressive than what we've published thus far. Several weeks ago AMD dropped a bombshell: x264 and Handbrake would both feature GPU acceleration, largely via OpenCL, in the near future. I begged for an early build of both of them and eventually got just that. What you see below may look like a standard Handbrake screenshot, but it's actually a look at an early build of the OpenCL accelerated version of Handbrake:

As I mentioned before, the application isn't ready for prime time yet. The version I have is currently 32-bit only and it doesn't allow you to manually enable/disable GPU acceleration. Instead, to compare the x86 and OpenCL paths we have to run the beta Handbrake release against the latest publicly available version of the software.

GPU acceleration in Handbrake comes via three avenues: DXVA support for GPU accelerated video decode, OpenCL/GPU acceleration for video scaling and color space conversion, and OpenCL/GPU acceleration of the lookahead function of the x264 encoding process.

Video decode is the lowest hanging fruit to improving video transcode performance, and by using the DXVA API Handbrake can leverage the hardware video decode engine (UVD) on Trinity as well as its counterpart in Intel's Sandy/Ivy Bridge.

The scaling, color conversion and lookahead functions of the encode process are similarly obvious candidates for offloading to the GPU. The latter in particular is already data parallel and runs in its own thread, making it a logical fit for the GPU. The lookahead function determines how many frames the encoder should look ahead in time in the input stream to achieve better image quality. Remember that video encoding is fundamentally a task of figuring out which parts of frames remain unchanged over time and compressing that redundant data.


GPU usage during transcode in the OpenCL enhanced version of Handbrake

We're still working on a lot of performance/quality characterization of Handbrake, but to quickly illustrate what it can do we performed a simple transcode of a 1080p MPEG-2 source using Handbrake's High Profile defaults and a 720p output resolution.

The OpenCL accelerated Handbrake build worked on Sandy Bridge, Ivy Bridge as well as the AMD APUs, although obviously Sandy Bridge saw no benefit from the OpenCL optimizations. All platforms saw speedups however, implying that Intel benefitted handsomely from the DXVA decode work. We ran both 32-bit x86 and 32-bit GPU accelerated results on all platforms. The results are below:

Handbrake OpenCL Transcode Test
*SNB's GPU doesn't support OpenCL, video decode should be GPU accelerated, all OpenCL work is handled by the CPU

While video transcoding is significantly slower on Trinity compared to Intel's Sandy Bridge on the traditional x86 path, the OpenCL version of Handbrake narrows the gap considerably. A quad-core Sandy Bridge goes from being 73% faster down to 7% faster than Trinity. Ivy Bridge on the other hand goes from being 2.15x the speed of Trinity to a smaller but still pronounced 29.6% lead. Image quality appeared to be comparable between all OpenCL outputs, although we did get higher bitrate files from the x86 transcode path. The bottom line is that AMD goes from a position of not really competitive, to easily holding its own against similarly priced Intel parts. 

This truly is the holy grail for what AMD is hoping to deliver with heterogeneous compute in the short term. The Sandy Bridge comparison is particularly telling. What once was a significant performance advantage for Intel, shrinks to something unnoticeable. If AMD could achieve similar gains in other key applications, I think more users would be just fine in ignoring the CPU deficit and would treat Trinity as a balanced alternative to Intel. The Ivy Bridge gap is still more significant but it's also a much more expensive chip, and likely won't appear at the same price points as AMD's A10 for a while.

We're working on even more examples of where AMD's work in enabling OpenCL accelerated applications are changing the balance of power in the desktop. Handbrake is simply the one we were most excited about. It will still be a little while before there are public betas of x264 and Handbrake, but it's at least something we can now look forward to.

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  • 3930K - Tuesday, May 15, 2012 - link

    Why is there a * next to the SB quad core? Reply
  • phoenix_rizzen - Tuesday, May 15, 2012 - link

    Most likely to show that it gets a boost from DXVA, but not from the actual OpenCL code. So, while it's using the OpenCL option, it's not actually using OpenCL code-path.

    It's explained in the paragraph above the graph.
    Reply
  • 3930K - Tuesday, May 15, 2012 - link

    Oh, I see, thanks. Reply
  • mevans336 - Tuesday, May 15, 2012 - link

    I was wondering that also? Maybe there was an nVidia GPU used on the Sandy Bridge platform since there are results for the same i7-2820QM lower on the chart? Reply
  • JMS3072 - Tuesday, May 15, 2012 - link

    Can you give a preview of how well Handbrake will perform on a system with higher-powered discrete graphics? If it's good enough, AMD might have just gained my loyalty for HTPC graphics. Reply
  • A5 - Tuesday, May 15, 2012 - link

    Theoretically, there is nothing that prevents OpenCL code from working on NVidia parts as well. Would be interesting to see a comparison between SI and Kepler, though. Reply
  • Doormat - Tuesday, May 15, 2012 - link

    2nd testing this on discrete hardware - mid-range AMD/NV, high end AMD/NV. Nice to see someone taking up OpenCL branches of x264. Reply
  • WeaselITB - Tuesday, May 15, 2012 - link

    Thirded. This would be a very intersting point of comparison. Reply
  • Anand Lal Shimpi - Tuesday, May 15, 2012 - link

    Not quite yet, the current build hasn't really been optimized or tested for dGPU usage. We were asked to limit our testing to integrated solutions for the time being.

    Take care,
    Anand
    Reply
  • Denithor - Tuesday, May 15, 2012 - link

    Crap.

    I see this as the one place where nVidia's decision not to launch Big Kepler may actually bite them in the ass.

    The compute power of the 79x0 cards versus 670/680 is undeniably stronger. And in this kind of app it might actually make a true difference.
    Reply

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