Play Games with physics support by graphic Cards – Nvidia Physx Drivers 8.07.18 —-> now supports Geforce 8,9,gtx series
Update: On August 12 NVIDIA will release official physx and graphic drivers
- Nvidia website —–> www.nvidia.com
- Physx Drivers —–> http://en.expreview.com/img/software/0808/PhysX_8.07.18_SystemSoftware.exe
- Supported games —-> http://www.nzone.com/object/nzone_physxgames_home.html
- Folding@Home project —–> http://folding.stanford.edu/
- guru3d forum post —–> http://forums.guru3d.com/showthread.php?t=269514
We’ve to say Nvidia IS the leader in graphic hardware. Especially for innovations.
After Nvidia bought Ageia Physx… Engineers wanted to use this technology on their graphic cards.
In fact a GPU is faster than a CPU in some kind of calculation… cause CPU was born to be a general purpouse calculator and it has to manage different aspects to respect compatibility on every system and with every program (but it’s not the only reason).
So when we use GPU to calculate the physic we give out from main processor that work (making it better)… and we can concentrate to give more realism to a project (like a game).
GPU (as processor) is used also in Folding@Home software… Where we process very complex calculation through Graphic Units to give an hand to the medicine.
All is faster… In the latest time where we’ve only support for GTX cards and 9800 gtx… and statistics says Folding@Home begins to be a real weapon against diseases as consequence of a greater success related to the use of graphics cards (and PS3 CPU) to understand protein folding, misfolding, and related misfunction (Folding@Home goal).
Directly from Folding@Home website:
” ABSTRACT. Commercial graphics processors (GPUs) have high compute capacity at very low cost, which makes them attractive for general purpose scientic computing. In this poster we show how graphics processors can be used for N-body simulations to obtain large improvements in performance over current generation CPUs. We have developed a highly optimized algorithm for performing the O(N^2) force calculations that constitute the major part of stellar and molecular dynamics simulations. In the calculations, we achieve sustained performance of nearly 100 GFlops on an ATI X1900XTX. The performance on GPUs 25x an Intel Pentium4, and 2x specialized hardware such as GRAPE-6A, but at a fraction of the cost. Furthermore, the wide availability of GPUs has signicant implications for cluster computing and distributed computing efforts like Folding@Home. “
So i downloaded them from the link above… and i’ve tried to get it working (on a 9600 gt) (nothing more simple).
Here is a list (taken from the link above) of physx supported games:
I’ve to download 3d mark to see real differences (nophysx – physx) but my actual dialup connection doesn’t allow me to do it.
If you’ve some interesting links where we can find benchmarks and other… just comment it :)