This is the continuation of the previous post on PhysX Performance with GeForce.
The PhysX Pack provided by NVIDIA contains a PhysX fluid demo:
The primary purpose of the NVIDIA PhysX Fluid Demo is to illustrate Smooth Particle Hydrodynamics (SPH)-based particle simulation technology accelerated by the NVIDIA GPU.
The pack also contains the Unreal Tournament III PhysX Mod:
The PhysX pack will be publicly available on August 12, 2008. The package consists of a new graphics driver that will enable PhysX on graphics cards equipped with GeForce 8, GeForce 9, and GeForce GTX GPUs, a downloadable PhysX software pack containing free Unreal Tournament 3 maps, the full version of NetDevil’s Warmonger, NVIDIA demos, and a first look at Object Software’s Metal Knight Zero and Nurien Software’s Nurien social-networking service.
Need more news about PhysX? Click here: PhysX @ Geeks3D
SLI PhysX performance is also analyzed but for SLI brings so much power that the tests are CPU-bound. Anyway, SLI PhysX rocks!
More news about PhysX: PhysX News at Geeks3D.
After demonstrating beta drivers featuring GPU-accelerated physics on 3DMark Vantage and Unreal Tournament III (GeForce GTX and 9800 boards), Nvidia is getting ready to release the official Windows driver.
This driver will support PhysX acceleration on all capable GeForce 8, 9 and GTX cards, while carrying Microsoft’s WHQL certificate. More importantly, the new ForceWare driver is expanding PhysX support to all currently available PhysX titles on the market, including Ghost Recon 2: Advanced Warfighter, Warmonger and Cell Factor: Revolution.
Read more: HERE
The implementation of PhysX has been done using CUDA. Thanks to CUDA, NVIDIA driver team has quickly converted Ageia’s PhysX functions. All GeForce 8, 9 and GTX200 will be PhysX compliant. However, one thing won’t be GPU-accelerated: rigid bodies. According to Manju Hedge, former Ageia’s CEO, GeForce 8/9/GTX200 are more powerful and faster than the current PhysX PPU.
Read the complete article HERE (french).
L’implémentation a été faite grâce à CUDA (extension du C pour exploiter le GPU comme unité de calcul) qui a permis une conversion rapide de l’API qui devient ainsi compatible avec toutes les GeForce 8 et 9 ainsi qu’avec les futures GeForce GTX 200. D’entrée de jeu, les GeForce GTX 260 et 280, et leurs prédécesseurs, devraient donc être compatibles avec le subset de l’API PhysX global, comme l’est le PPU, avec une différence cependant: le portage des rigid bodies n’a pas encore été effectué et cette fonctionnalité ne pourra donc pas, pour le moment du moins, être accélérée par le GPU. Selon Manju Hedge, ancien CEO d’Ageia, les GeForce 8 et 9 haut de gamme (et bien évidemment les futures GeForce GTX 200) sont nettement plus véloces que le processeur PhysX.
Lire l’article complet ICI.
An ultra-sound scanner, developed by TechniScan, utilizes four Tesla C870 boards and is programmed in with CUDA.
The company continued to run tests with Pentium 4 and Core 2 generations of processors, but even with the fastest Core 2 Duo and Quad processors, the render time could not be cut under 45 minutes.
A possible solution popped up when TechniScan senior software engineer Jim Hardwick bought a GeForce 8-series card and discovered Nvidia’s CUDA SDK. Jim is an avid gamer, so he bought the card to enjoy latest and upcoming games, but a quick run of his code on a GPU apparently lit up more than just one bulb. Fast forward to 2008 – today the code is ported to CUDA and utilizes four Tesla C870 boards. The render time was cut from 45 minutes on a 16-core Core 2 cluster to only 16 minutes.
The GPU scored major speedups in calculating 2D FFT’s, in which a single 8800 GTX was eight times faster than a Core 2 Quad at 2.66 GHz, while complex exponentiation with 12 million elements ended up being accelerated by a factor of 320x. Complex Exponentiation is usually run 50-60 times, so you can see how a 4-GPU setup was able to cut the total rendering time.
Read the complete article HERE
Taking annual mammograms is generally recommended for women with an age of 35 years and above. But these radiology procedures are inconvenient and can actually be painful, since the breast needs to be squeezed between two metal plates. TechniScan has developed a new method to scan a breast – a method that is based on the processing capability of GPUs to deliver 3D images, which could replace traditional mammograms one day. It is a fascinating example how we can take advantage of the enormous progress in technology to save lives.
Read the rest of the article HERE
The computer system uses four GeForce 8-series graphics cards to produce coronal image slices of the breast that will be exported in DICOM 3.0 format as well as full 3D views of a breast. TechniScan says that it takes just 20 minutes to render the images, compared to several hours that would be required on a CPU.