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By now, you know that transcoding and encoding with CUDA can be a lot faster than without it. Case closed. With Badaboom, since there’s no option to disable CUDA acceleration, we wanted to take a closer look at how the two GPUs we used compare against each other.
Well, OK, we did sneak in one outside test. You’ll notice that the Pirates 2 trailer transcoded in 28 seconds on the 9600 GT. The same operation took 44 seconds using the non-CUDA-fied transcoder, iPodifier 1.5. Because the output profiles aren’t exact matches, we’re not going to burn much time on this comparison, but it at least indicates that you can expect to shave 30% or more off of your transcode times by switching to a CUDA app like Badaboom.
As you can see, we did four tests with Badaboom, two with the Pirates 2 trailer, one in low-def and the other in HD. We threw the Get Out! clip at an iPod nano profile. Then we took a 4.26 GB collection of VOB files from a single DVD rip and had Badaboom compile them into a single high-quality MPEG-4 file.
With the low-def transcode for Pirates 2, the 9800 GTX delivers a 17% advantage. For the high-def transcode, we jump to a 50% delta. With the Get Out! clip, we see a 56% jump with the 9800 GTX. And for our VOB transcode, check out the 75% trouncing the 9800 GTX hands to the 9600 GT.
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The 8800GS or with the new name 9600GSO goes for 60$ and delivers 96 stream processors. Would it be correct to assume that it would perform betwen the 9600 GT and 9800 GTX you reviewed?
Other then that great article, been waiting for it since we got a sneak preview from Chris last week.
And I'll never take Nvidia marketing seriously until they either stop singing about CUDA being the holy grail of computing, or this changes: "Aside from Folding@home and SETI@home, every single application on Nvidia’s consumer CUDA list involves video editing and/or transcoding."
As more software will use CUDA, we will not only see a great boost in performance for e.g. video performance, but for parallel programing in general. This sky rocket this business into a new age!
As more software will use CUDA, we will not only see a great boost in performance for e.g. video performance, but for parallel programing in general. This sky rocket this business into a new age!
Honestly, I dont think a proprietary language will do this. If anything, it's likely to be GPGPU's in general, run by Open Computing Language.(OpenCL)
Are we both thinking about the same "Pirates 2"? Or am I missing something...
Who knows it's just a clip he used he could be naming it anything for the hell of it.
CUDA transcoding is very nice to someone that does H.264 transcoding at a high profile and lacks a 300+ dollar cpu who would spend hours transcoding a dvd on high profile settings.
Else from that CUDA acceleration has just been more of a feature nothing like a main event. Although can easly be the main attraction to someone that does a good flow of H.264 trasncoding/encoding.
Encoding/transcoding in h.264 high profile can easily make someone who is very content with their cpu and it's power become sad very quickly when they see the est time for their 30 min clip or something.
I'm using CoreAVC since support was added for CUDA h264 decoding. I kinda feel stupid for buying a high end CPU (at the time) since playing all videos, no matter the resolution or bit-rate, leaves the CPU at near-idle usage.
Vid card: 8600GTS
CPU: E6700
Well you lucked in considering not all of the geforce 8 series supports H.264 decoding etc.
they should remove Adobe CS4 suite from there since Cuda transcoding is only posible with nvidia CX videocards not with normal gaming cards wich supports cuda.
CUDA means Miracle in my language :-) I it will do those
The sad thing is that ATI does not truly compete in CUDA department and there is not standard for it.
I was only really interested in the Badaboom benchmarks and I was fairly impressed but I seem to remember the last time you guys done an article based on GPU accelerated apps (Cuda vs Stream) Badaboom suffered from output quality issues something that hasn't been mentioned in this article. It's all very well a 9800GTX being able to encode HD video content in half the time if the final product is no good.
Jean,
Actually, I don't believe we've done a comparison between the two. However, I have read that comparison at other sites, and it's actually ATI's Stream app that has the quality issues. Version two of the software is on the way, and it purportedly fixes the quality issues (though it still isn't demonstrating much GPU scaling, from what I've seen thus far).
Jean,Actually, I don't believe we've done a comparison between the two. However, I have read that comparison at other sites, and it's actually ATI's Stream app that has the quality issues. Version two of the software is on the way, and it purportedly fixes the quality issues (though it still isn't demonstrating much GPU scaling, from what I've seen thus far).
yeah but chose your words carefouly since readers could be misslead on this one
Cangelini, Badaboom definitely has lower quality output compared to the newest x264 builds. I'd definitely like to take advantage of my 9600 GT, but not unless I can use it with Handbrake or some other app on my own terms (NOT BASELINE OR MAIN PROFILE.)
I can haz chezberger?
ATI
CUDA
CONA
The 8800GS or with the new name 9600GSO goes for 60$ and delivers 96 stream processors.
The 9600GSO has 2 versions (ignoring VRAM variations), one with only 48 SPs (essentially a castrated G94, not G92).
There is a plugin for people who do audio engineering/recording/mixing/mastering from this guy:
http://www.nilsschneider.de
It runs on CUDA, but TBH, it has not manifested itself as anything special just yet, it's more a "proof of concept". However, as someone who's been doing that kind of thing for years, any quad-core ever made is good enough for real-time audio work, so there's not much point in CUDA acceleration.
Measuing? Do you not even have spellcheck now?
I enjoyed the article, and just like in the dual-core versus quad core debate, there remains few applications that can fully exploit CUDA.
By the way, I have quick correction. The author writes, "...that can leverage parallelism in a way that jives with CUDA’s architecture." The correct word is "jibe" not "jive."
CUDA is mostly about hype. Nothing really else.