2008 Archive - AWS Elemental Blog

Video Processing Perspectives

2008 Archive - AWS Elemental Blog
2008 Archive - AWS Elemental Blog
Submitted by Lisa on October 16, 2008

The Elemental Accelerator and NVIDIA GPU bundle have arrived just in time for Adobe's CS4 launch. The Adobe suite(s) are available through www.adobe.com and the Elemental Accelerator and Nvidia Quadro CX bundle are currently available through Nvidia's website (www.nvidia.com/quadrocx).

Submitted by Lisa on October 1, 2008

Elemental Accelerator for Adobe Premiere Pro CS4 ushers in a new era of high quality SD and HD H.264 rendering using the GPU. No longer will you be forced to start an H.264 encode and hope that it will complete successfully 10+ hours later. 

Elemental Accelerator brings efficiency to your Adobe Premiere Pro workflow, allowing a better use of time and resources by increasing the number of jobs that can be completed in a given time frame. Improve your customer satisfaction while simultaneously increasing your productivity. Provide samples to customers in the same format as the end products will be delivered without the time and resources that have been historically required.

Submitted by Lisa on September 29, 2008

Carter TGPU-based video encoding is fast because all of the macroblocks can be processed at once, whereas a CPU-based solution must iterate through each macroblock one-by-one. However, critics out there are quick to point out that you can't just do that!  Video encoders, they claim, need to operate on one macroblock at a time to perform tasks such as entropy-coding or to calculate motion vector deltas between macroblocks.  The critics are right, partially.  There are indeed dependencies between the macroblocks, as implied by the various video standards, such as H.264 and MPEG-2. How is it possible, then, to process a frame's worth of macroblocks in parallel, if there are dependencies?  Well, that's the magic of the RapiHD technology.  With some very clever parallel algorithms, it is possible to come up with global solutions for a frame that are as good as (if not better than) an approach that computes one macroblock at a time.  The idea is to maximize the parallel processing, and minimize the need for serial operations. Elemental Technologies prides itself on being a forerunner in the area of parallel techniques for video encoding.  Parallel programming on a GPU is an art, related to but different from the art of CPU-based programming.  Algorithms that run fast on a CPU are not the same as those that run on a GPU, and vice-versa.  Like peanut butter and chocolate, NVIDIA claims that the GPU and CPU are better together than separate.  Elemental has found that this is true.  Some jobs are best done on a CPU, and some are best on a GPU.  Together, powered by the right mix of GPU and CPU software, your whole computer can be a video-encoding workhorse. For the skeptics, an interesting fact is that the GPU is the computing bottleneck in the RapiHD flow.  Because GPUs have historically increased in computing power faster than CPUs, the RapiHD technology will continue to track with that faster growth curve, as opposed to pure software encoders, which will also benefit over time, but only by tracking CPU computing growth curves.  Thus, RapiHD is poised to not only blaze ahead in the short term, but continue to do so well into the future. Editor's note: Carter is one of the key architects behind the RapiHD Video Platform, and an avowed fan of peanut butter and chocolate -- but only in combination.