AppleInsider Staff
Graphics chipmaker Nvidia Corp. is in the early developmental stages of its first Mac-bound GPGPUs, AppleInsider has learned.
The technology — in Nvidia's case — leverages a proprietary architecture called CUDA, which is short for Compute Unified Device Architecture. It's currently compatible with the company's new GeForce 8 Series of graphics cards, allowing developers to use the C programming language to write algorithms for execution on the GPU.
GPGPUs have proven most beneficial in applications requiring intense number crunching, examples of which include high-performance computer clusters, raytracing, scientific computing applications, database operations, cryptography, physics-based simulation engines, and video, audio and digital image processing.
It's likely that the first Mac-comptaible GPGPUs would turn up as build-to-order options for Apple's Mac Pro workstations due to their ability to aid digital video and audio professionals in sound effects processing, video decoding and post processing.
Precisely when those cards will crop up is unclear, though Nividia through its Santa Clara, Calif.-based offices this week put out an urgent call for a full time staffer to help design and implement kernel level Mac OS X drivers for the cards.
Nvidia's $1500 Tesla graphics and computing hybrid card released in June is the chipmaker's first chipset explicitly built for both graphics and high intensity, general-purpose computing.
Programs based on the CUDA architecture can not only tap its 3D performance but also repurpose the shader processors for advanced math. The massively parallel nature leads to tremendous gains in performance compared to regular CPUs, NVIDIA claims.
In science applications, calculations have seen speed boosts from a 45 times to as much as 415 times in processing MRI scans for hospitals. Increases such as this can mean the difference between using a single system and a whole computer cluster to do the same work, the company says.
Charles Martin
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51 Comments
It's only a matter of time before apple slaps a processor in our keyboards and mice as well. :P
- Xidius
I'll take one as soon as they are ready
Hmmm GPGPUs, catchy name! But seriously, sounds confusing!
Will software need to be modified to leverage the power of these processors?
I'm very confused at the role of the GPU/CPU, they seem to be crossing paths more and more! Someone, tell me, what does the GPU do, and what does the CPU do, and why are they better for their separate tasks.
As GUIs get more processor heavy, i.e. RI, and people realize that computers are useful for much more than gaming, I think these will be a great asset, especially for a companies with software-hardware integration like Apple.
n science applications, calculations have seen speed boosts from a 45 times to as much as 415 times in processing MRI scans for hospitals. Increases such as this can mean the difference between using a single system and a whole computer cluster to do the same work, the company says.
[ View this article at AppleInsider.com ]
I think an 8 core Mac Pro IS a cluster.