Now that Core i7 reviews have hit the streets, it’s time for Geeks3D to offer a quick overview of this new technology.
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FiringSquad has published an article that compares PhysX performance of CPU versus PPU versus GPU. The softwares used for this test are Unreal Tournament 3, Nurien and Warmonger.
Conclusion: for over two years old graphics cards, Ageia PhysX PPU is useful but isn’t able to match the performance of today’s GeForce cards.
Read the complete article here: PhysX Performance Update: GPU vs. PPU vs. CPU
In PhysX FluidMark news, I put a graph that shows CPU/PPU/GPU comparison. The results show a larger difference between PPU and GPU but this is due to the kind of test: fluid simulation.
FiringSquad takes a look at PhysX performance with GeForce 8/9/GTX200 based graphics cards by testing several games that support PhysX (Unreal Tournament, Warmonger, NKZ, Nurien). The first conclusion is that PhysX is really accelerated on GeForce and the difference between CPU PhysX and GPU PhysX is notable:
To do the tests, FiringSquad has used a modified version of NVIDIA Forceware 177.79. But no indication is given about the modifications on that driver.
They also used the NVIDIA PhysX driver 8.07.18.
SLI PhysX performance is also analyzed but for SLI brings so much power that the tests are CPU-bound. Anyway, SLI PhysX rocks!
Read the complete article here: PhysX Performance with GeForce.
More news about PhysX: PhysX News at Geeks3D.
[English]Thermaltake V1 CPU Cooler is a Masterpiece[/English][French]Le Refroidisseur CPU Thermaltake V1 est un Chef-d’Oeuvre[/French]
The aim of this program is to explore the possibilities of modern 32bit CPU’s how to speed up (without any loss of precision or non-exact calculation) the traditional Mandelbrot algorithm including also full support for multiple cores. The Mandelbrot algorithm is implemented with double precision floating point numbers. You will find 3 different in the archive file:
- KMB_V0.53H-32b-MT_FPU…..: only standard FPU code is used for calculation
- KMB_V0.53H-32b-MT_SSE2….: SSE2 tuned version almost best for all CPU’s
- KMB_V0.53H-32b-MT_SSE2_PM.: SSE2 tuned version especially for Intel Pentium M and Intel Core1 CPUs (it’s in fact KMB_V0.53G-32b-MT_SSE2 as Version H was slower)
Download Kümmel Mandelbrot Benchmark HERE.
Here are my scores on an old clock-stock Core2Duo 6600:
Do you know what CUDA and OpenCL stand for and how they could make your computer 50 times faster? If so, you can safely jump to the “Ending the mess” section below. Otherwise read on for a gentle introduction.
A computer has two important processing units: the CPU and GPU. Think of them as the two brothers in Rain Man. The GPU is the ultimate autistic savant. He’s really, really good at counting stuff and doing a lot of complex math at the same time.
The CPU is your regular guy. He can do all kinds of stuff that the savant can’t. He goes along well with everybody, as long as they speak English. If he learns to take advantage of the savant, the two of them can do amazing things like count cards at Poker.
In other words, the GPU is natural at some operations that involve repetitive calculations, like those necessary for drawing 3D graphics and doing basic image manipulation.
Read the rest of this article HERE.
Here is a small benchmark that try to compare several optimized Intel OpenCV library functions with their GPU analogs, written using OpenGL and GLSL shader language.
More information HERE.
Because I can’t resist, here is my score (Core 2 Duo 6600 default clocks, Radeon HD 3870 Catalyst8.5, WinXP 32-bit) with Resolution multiplier set to 4:
------------ CPU | GPU step1: 75.3 21.5 step2: 35.8 22.5 step3: 05.7 00.7 Total Time: 116.9 345.3