Running Video Cards in Parallel
G.A. Wells writes "Ars Technica has the scoop on a new, Alienware-developed graphics subsystem called Video Array that will let users run two PCI-Express graphics cards in parallel on special motherboards. The motherboard component was apparently developed in cooperation with Intel. Now if I could only win the lottery."
...Microsoft announced that Clippy had broken the before unheard of 2,000 fps barrier.
PCI-Express? What happened to AGP?
Seriously, I've been out of the PC market for too long. Alas, poor wallet. I had cash flow, Horatio.
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Hell, I couldn't care less about parallel processing for the video cards.
I want tri-head or quad-head video, but with at least AGP speeds. You can do it now, but only with PCI cards getting involved.
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Didnt the early voodoo cards allow something similar to this ? I know they had a pass through from your 'normal' video card but i seem to remember the ability of running more and they would each do alternating scan lines.
I think it is great that a company has the will to do something like this, even if it doesn't catch on. It's cool to try something new, instead of just hanging back and doing the tried and true.
I'll admit I haven't yet read the whole article, but even though it says that it isn't tied to any one video card, that doesn't say to me that it can have multiple disparate cards. If it is doing something along the lines of SLI, I would guess that the speeds would need to be matched between the two cards. And that would imply having two of the same card, whatever card the user chooses.
But maybe not... maybe it's the advent of asymetric multi video processing.
Alienware didn't invent this
the PCI and PCI Express have had this written into spec
AGP does too, but when was the last time you saw dual AGP slots on a mobo? (they do exist)
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All you really need is some way to copy the data in memory from one card to another.
Easy solution? Several high-speed serial connections in parallel between the two cards. With a little bit of circuitry on the card dedicated to keeping the data identical.
Or, with a little bit of a performance hit, you could keep each section of RAM separate, and route misses over the cables.
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From the article: "The answers may have to wait until Q3/Q4". There are no performance numbers, no real statements of how it works, nothing much at all. Just wow, gee whiz, dual graphics cards in parallel. What exactly does "in parallel" mean? That's not even addressed.
Some things I thought of immediately reading this, great - two displays each driven by a separate card, or, better yet, quad displays driven by two cards. Nope, not a word about either possibility. The implication of the PR/article is that 3D graphics will be processed faster. How? Do they have some nifty way of combining two standard off the shelf graphics card signals into a single monitor? (Hint, it's hard enough getting the monitor to properly synch up with a single high performance graphics card!)
Since when does ArsTechnica merely regurgitate PRs? This was 99.999% vacuum.
The cesspool just got a check and balance.
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Nay, the AGP standard is built around a single slot and a single graphics card. To permit two AGP cards running natively (via the AGP bus) in a single system would be quite difficult if not impossible, far easier to look to the future and a new technology to make it work better then any sort of hack job that could be done today.
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Is this compatible with Brook and other general-purpose GPU programming techniques? The use I see for it is this:
Imagine an openmosix cluster of dual-processor machines that run bioinformatic calculations and simulations. Lots of matrix math and such - pretty fast (and definitely a lot faster than a single researcher's machine).
Now imagine the same cluster but each machine has 2 or 4 dual-head graphics cards and each algorithm that can be created in Brook or similar is. That gives each machine up to 2 CPU's and maybe 8 GPU's that may be used for processing. The machines are clustered so a group of ~12 commodity machines (1 rack) could have 24 CPU's and 96 GPU's. Now that would be some serious computing power - and relatively cheap too (since 1-generation old dual-head cards are ~$100-$150).
By the way, does anyone know if there is any work going on to create toolkits for Octave and/or MatLab which would utilize the processing power of a GPU for matrix math or other common calculations?
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