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Bron: Bluetracker

Raven heeft nu twee GeForces en ze zijn er zo te lezen erg blij mee . John Scott heeft een .plan update gepost met opmerking over de kaart (zie ook deze nieuwsposting):

Mmmm....2 GeForces to play with

Chris and Jeremy love the card, it runs QERadient about 10-30 times faster. It is a hard amount to quantify, but it is at least an order of magnitude faster.

As Rick and Jake have stated - Ghoul can make use of GL lighting, a feature that has always been in GL but has never been fast enough to use in a game. Using this, Gil got about a 20% speed improvement on the GeForce.

Generally your frame rate is limited by one of several bottlenecks - I shall endeavor to explain what these are and in what situations they are most prevalent. I'll try to make it as untechnical as possible and most likely fail miserably

1. Fill rate - raw pumping of texels to the screen.

This used to be the major hold up, but with the latest cards is not so much of an issue. For example, the TNT2 can handle 350 million marketing pixels per second, which is enough to draw an entire 800x600 screen about 12 times at 60fps. Even in a game with oodles of fancy spell effects (such as Heretic2) this is plenty. Marketing pixels are the theoretical peak rate of rendering, real world apps can achieve about half that.

2. Texture uploading - the amount of texture in a game

This is still a major bottleneck, especially in games with lots of procedural textures (eg Unreal). If all the textures in a level will fit onto the cards local memory, then this is not an issue. However, in the real world we normally have a lot more texture than will fit for any given scene, so the game is continually swapping textures in and out of the cards local RAM. Setting gl_picmip in Quake based games will reduce the memory required for textures and so reduce the amount of uploading, but will have the downside of reducing the final image quality. S3TC has a similar effect on uploading without the loss of image quality. In a game with procedural textures, the CPU creates the texture and then has to upload it, thereby exaggerating this bottleneck. D3d can handle this better than OpenGL purely because you can manage your own textures and optimise for your own special cases.

There are many factors that affect this, Voodoos are quicker at uploading than TNTs, but they have less memory so have to do it more. The Permedia3 has a very interesting approach that it will only upload the portion of the texture it needs.

3. Geometry - the number of verts in the world.

This is definitely where SoF in limited. The CPU has to perform lots of calculations to work out where to place a vertex on the screen. This can either be done by the driver or by the game. We use the OpenGL transforming for ease, and although it maybe a little slower on a vanilla machine, it enables the driver writers to optimise for SSE or 3dNow! instructions transparently, and allows us to automagically take advantage of hardware T&L. The GeForce acts as the equivalent of a parallel Pentium processor running at about 2GHz (source : nVidia) which purely handles the transforming and lighting, thereby offloading a major chunk of work the CPU had to do to a custom much faster processor. In practice this means a much faster game.

The downside of this is you are limited by the transform speed of the card, so if you have a 3GHz processor in your machine, you may actually have a performance hit Then again, feeding the card enough verts to make this noticable would choke the AGP bus completely. I think I would be fairly confident in saying this will not be a problem for some time to come.

Any OpenGL game that uses the OpenGL transform pipeline will be accelerated by hardware T&L. I can't comment on any other games than Heretic2, Sof and Trek, which all do.

4. Game code - the amount of processing required to run the game.

If the AI of the game is your bottleneck, no video card is going to help!

The overall approach to getting performance is to find out where your limiting process is, the bottleneck that is holding up the other processes, and speeding that up.

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