I can't say much about Photoshop, since I rarely use it, and ATi cards don't have CUDA anyway.
Vegetano1 Wrote:PhysX gaming prob works best with a faster graphics card,.. if you want to be able to use the highest settings,.
Not really. The aim of PhysX is to provide a hardware acceleration interface for physics calculations. Having a faster graphics clock doesn't improve it.
Vegetano1 Wrote:Multiple monitors will work better,. using different gpu core's for different monitors,. ;p
Playing 2 games at once? Otherwise, no. Drawing stuff to a screen is
extremely fast.
Vegetano1 Wrote:@Assassinator i am not sure but i read somewhere that the 8800 is still better then the 9800,. atleast faster,. although the 8800 does't have physx,.
The 9800 is a renamed 8800 (not exactly sure which versions however). In other words, speeds shouldn't be different at all, just like the 8600GT and 9600GSO being identical.
Vegetano1 Wrote:you can't denie that the GTX 295 is way faster then the 9800 and you are 200% better off playing a game like Crysis with the 295gtx then with a 9800,. its a simple fact,. and other games too,. although i don't really want to question you or Zinga,. but some games have very high settings available,..
Don't use the high settings then >_> Do you really need it? Willing to pay all that for an image that has two smoother lines?
Vegetano1 Wrote:prices of the 9800 were also high when the card was first presented,.
That's why you generally don't buy top-of-the-range cards >_>
Vegetano1 Wrote:anyway the most importend thing besides game suport now is also the suport for the CS4 series and other high end graphics program's and with maybe some good video GPU encoders on the way a expensive graphics card could be a good choice,.
GPGPU computing is still in its infancy. Unless you actually have a specific need for it, wait for it to mature instead.
Vegetano1 Wrote:check this and click "video processing",.>> they sure make it look worth awhile to encode with the GPU,. nvidia claims 20x faster then with cpu.
http://www.nvidia.com/content/graphicspl...index.html
I claim the CPU is 5x faster than that. Do you believe me?
Either case they give very little information on it.
feinicks Wrote:Not denying that current gen encoders, or for that matter any parallel process application, are too CPU dependent. However, my argument is based on the fact that, in the future, application design may change from CPU to GPU to harness the more free and efficient power of the latter. CUDA is a an example of GPU-based instruction set. And already, the importance of CUDA has been recognised. Give it time, and you may have GPUs comparing with CPUs.
This is difficult. A good metaphor for parallel processing is getting multiple people to do a task. Some tasks, 240 (less trained) people can do a lot better than 4 (well trained). However, some tasks simply won't make sense to have 240 people do it. For example, playing a game on a computer - you can't really have 240 people doing the thing at once. Whereas, 4 people, which are much better at doing it, will easily beat 240 people who aren't so good.
Encoding is something that is largely serial, but can be somewhat made parallel. It's serial because a lot of aspects depend on the events occurring beforehand, ie you must do action A before action B because action B requires information obtained from action A. You can't "parallelize" this because it requires this sort of ordering.
You might take the example of adding two 100-digit numbers. For one person, this would take a while. But if wee got 10, you could split up and give 10 digits to each person, then do a "merge" at the end. It's not perfect, as a carry can potentially make things a lot slower, but in most cases, it's somewhat like "parallizing" a serial task.
See also:
http://en.wikipedia.org/wiki/GPGPU#Misconceptions