Asus G51J 3D is actually the first gaming laptop that is intended for stereoscopic 3D gaming using the 3D Vision active shutter glasses, although you can still play in 2D mode at 120Hz without any problems if you wish to. Asus did very well in designing a very nice and attractive looking laptop on the outside with an extensive set of features and quite powerful hardware inside. Along with the laptop you also get a nice bagpack to easily carry it everywhere with you along with Buy Xenical Online all the additional accessories and these include not only the bundled 3D Vision glasses, but also a gaming mouse in the form of Razer Abyssus, so you can actually be ready for gaming on the go and in S3D too…

- To read the rest of the Asus ROG G51J 3D Vision Gaming Laptop Review

Related posts

• The NVIDIA Optimus Technology Looks Very Promising
• The Acer Aspire GD245HQ 24-inch Gaming Display
• Stereoscopic 3D Trailer for the Movie Avatar (720p) HD
• Samsung 2233RZ and ViewSonic VX2268wm Input Lag Testing
• Recommended Video Memory Size for Use with NVIDIA CUDA

The general idea behind the new NVIDIA Optimus technology for notebook is that it chooses the best graphics processor for running a given application and automatically routes the workload to either an NVIDIA discrete GPU or Intel integrated graphics – delivering great performance while also providing great battery life. This happens just as a Hybrid car chooses between the gas-powered and electric car engine on-the-fly and uses the most appropriate engine, NVIDIA Optimus technology does the same thing for graphics processors. NVIDIA Optimus Technology instantly directs the workload through the most efficient processor for the job, extending battery life by up to 2 times compared to similarly configured systems equipped with discrete graphics processors (GPUs). When playing 3D games, running videos, or using GPU compute applications the high-performance NVIDIA discrete GPU is used. When using basic applications, like web surfing or email, the integrated graphics processor is used and all this leads to longer lasting battery life without sacrificing great graphics performance.

Now, what we should see are companies like Alienware, for example and others that do have big and powerful gaming laptops to go and integrate Optimus, so that the battery life on these graphic powerhouses won’t be too low. I mean less than an hour on a battery while you are using the laptop for browsing and the powerful video card or even two video cards are actually not being loaded and even needed. Why should we cope up with that when with the help of Optimus the power hungry GPUs can be completely switched off electrically while they are not needed and get lets say two-three-four times longer battery life from the same laptop. Of course when you run a game it should back again switch on the powerful GPU and you’ll be able to take advantage of the top performance although the battery life will be reduced. But then again why should we sacrifice battery life when we don’t need the powerful discrete GPU and that is the most serious issue the Optimus technology is addressing and is doing this with a simple, but very effective approach that simply works for just about everyone. You don’t have to be a power user or aware of the fact you need to switch something by hand every time, it all happens automatically, but only when you need it…

Related posts

• Recommended Video Memory Size for Use with NVIDIA CUDA
• Nvidia has GF100 Fermi Working Samples Even in SLI Setups
• Nvidia EcoBook is a DIY Nvidia ION-based PC Project
• How to test your CUDA Performance with muvee Reveal 8
• Fixing a Failed nVidia GPU on Dell XPS 1330

Nvidia EcoBook is a DIY Project, based on the Pegatron Cape 7 mini PC using Intel Atom CPU and Nvidia ION chipset with the goal to turn one of these multimedia systems into a book and put it along other books on the shelf. The result is a good-looking and “invisible” multimedia computer system for the living room that you can connect directly to your big HDTV and browse the net, watch HD videos both online and offline and even play games that are not too demanding. In the video you can see a comparison with a commercially available PC – the AOpen MiniPC, but that one uses integrated Intel graphics and a normal mobile Intel CPU instead of a low power and energy efficient Intel Atom processor. Note that the EcoBook PC seems to be using dual-core CPU, but actually that is because of the HyperThreading support resulting in two logical cores seen by the OS and the processor being physically a single core. The recommended Os to install and use with this PC is Windows 7, because of the available GPU acceleration built-in directly in get prescription drugs without prescription the OS that can take advantage of the GPU performance that the integrated GPU in the Nvidia ION chipset has to offer. The 750GB WesternDigital Blue hard drive is not the typical height of 9.5 millimeters for a mobile HDD, but instead is 12.5 mm, but that is not an issue with this book design as there is enough space and having 750 gigabytes of space in such small size PC is great. The Pegatron Cape 7 has 1GB of integrated RAM, but it is good to add 1 GB more for achieving optimum performance not only for the system, but for the GPU too as the GeForce 9400M-like integrated graphics uses shared system memory for its needs.

Related posts

• Recommended Video Memory Size for Use with NVIDIA CUDA
• Testing Adobe Flash Player 10.1 Prerelease with Nvidia ION PC
• The NVIDIA Optimus Technology Looks Very Promising
• Nvidia has GF100 Fermi Working Samples Even in SLI Setups
• How to test your CUDA Performance with muvee Reveal 8

Nvidia is continuing to tease all its fans on Twitter by releasing interesting pictures of its new and much anticipated GF100 Fermi-based video cards. online pharmacy no prescription needed Not a log ago there was a picture of a single GF100 card running an Unigine game engine benchmark and now we have a new picture showing two GF100 cards running in SLI mode. On the image above you can see Tom Petersen, Director of Technical Marketing at NVIDIA (an Apple fan obviously), proudly showing off his new Maingear Shift PC, equipped with two GF100 cards. So when will all this waiting end and we are going to see the new GeForce video cards on the market and be able to buy them… it is still a mystery.

Related posts

• The NVIDIA Optimus Technology Looks Very Promising
• Recommended Video Memory Size for Use with NVIDIA CUDA
• Nvidia EcoBook is a DIY Nvidia ION-based PC Project
• How to test your CUDA Performance with muvee Reveal 8
• Fixing a Failed nVidia GPU on Dell XPS 1330

There are a lot of Nvidia-based video cards out there with support for the CUDA technology, over 150 million worldwide according to the company, but these cards do have very different parameters. Starting from GeForce 8×00 series Nvidia has added support for the CUDA technology, even for the low end GPUs and these, although not offering that much processing power, are still able to take advantage of the GPU acceleration that can be achieved thanks to this technology. But the problem you might face using CUDA-enabled software is not the speed you’ll get – this of course depends on the GPU power, but is related to the amount of video memory your video card has. If you are going to put your CUDA capable Nvidia-based GPU with a software that can take advantage of the technology in order to accelerate the processing speed of something you’ll also need more memory. For instance if you are going to work with Full HD video or other high-resolution audio video material you’ll probably need more video memory available in order for the video card to process all that data.

One recent example cheap Acomplia of bumping into a problem with not enough video memory available to process certain things with the help of CUDA was when I was testing the muvee Reveal 8 software and wanted to use CUDA on HD quality video, but on a lower-end GPU with a limited amount of video memory. Here is what I was able to achieve as output quality in terms of resolution depending on the amount of video memory available for the GPU using CUDA acceleration for the video encoding process:

- 512MB VRAM – 720p and 1080p resolution
- 256MB VRAM – maximum 960×540 resolution
- 128MB VRAM – maximum 640×360 resolution
- 64MB VRAM – CUDA option was not available

And these was on the same not very powerful GPU that uses shared video memory – Nvidia ION (GeForce 9400M class) with just 16 stream processors and with the help of a single core Intel Atom processor running at 1,6 GHz with HyperThreading enabled. So the capabilities of the GPU in terms of the output resolution were not limited by the number of the processing elements inside the GPU, but on the amount of video memory it has available…

So just as an useful advice for you, if you are planning to use your Nvidia video card for CUDA acceleration and want to take full advantage of the features available to you by the software you better go for at least 512MB of video memory, even if the GPU is not a high-end one!

Related posts

• Nvidia EcoBook is a DIY Nvidia ION-based PC Project
• Testing Adobe Flash Player 10.1 Prerelease with Nvidia ION PC
• How to test your CUDA Performance with muvee Reveal 8
• CoreCodec CoreAVC 2.0 for Windows is Available
• The NVIDIA Optimus Technology Looks Very Promising

After reporting about the problems with CUDA I’ve had with the recently released muvee Reveal 8 software, the company has responded very quickly with a release of a new build of the program that fixed the issue. So now you can download the 15 day Trial version of muvee Reveal 8 and put your PC to the test, using this quick and easy video guide for the test procedure to follow. Of course to benchmark your CUDA performance you’ll have to own an NVIDIA-based video card with CUDA support, otherwise you can just compare your CPU performance…

I’ve already got some test results prepared from different computer systems, but if you decide to try this benchmark on your system please don’t forget to share the results you got here in the comments, so that the database of results can be increased. Please test in both 720p and 1080p resolutions in AVC-HD format (H.264 compression) with and without CUDA enabled and post the CPU and Video Card you have in your computer along with the four results like in the examples below.

Intel Core i5 750 @ 3.4 GHz (Overclocked)
Nvidia GeForce GTX 275 VGA

720p
- CPU: 97 sec
- CUDA: 39 sec
= about 2,5 times faster with CUDA

1080p
- CPU: 188 sec
- CUDA: 67 sec
= about 2,8 times faster with CUDA

Intel Core i5 750 @ 3.4 GHz (Overclocked)
Nvidia GeForce GT 240 VGA

720p
- CPU: 107 sec
- CUDA: 69 sec
= about 1,6 times faster with CUDA

1080p
- CPU: 204 sec
- CUDA: 121 sec
= about 1,7 times faster with CUDA

Intel Core 2 Duo T8300 (2,4 GHz Default)
Nvidia Geforce 9800M GT x2 (SLI Configuration)

720p
- CPU: 332 sec
- CUDA: 100 sec
= about 3,3 times faster with CUDA

1080p
- CPU: 625 sec
- CUDA: 183 sec
= about 3,4 times faster with CUDA

Related posts

• Recommended Video Memory Size for Use with NVIDIA CUDA
• muvee Reveal 8 is actually NOT working with CUDA?
• Colin McRae: Dirt 2 Benchmark Video [DirectX 11]
• The NVIDIA Optimus Technology Looks Very Promising
• STALKER: Call of Pripyat – DirectX 10 vs DirectX 11

This morning when I turned on my Dell XPS 1330 laptop and I worked for just a few minutes I started seeing some weird artifacts on the screen and a few seconds later I got a blue screen with error and a frozen laptop. When I turned it on again instead of the normal boot screen I got a weird color lines all over the screen… suddenly I remembered all the talk about failing nVidia mobile GPUs from a few months ago and realized that I also became a victim of this problem.

I did not panic and think about RMA-ing the laptop as soon as possible, but instead thought about what can I do to try to fix the problem. The problem with RMA is that it is going to take some time and my XPS 1330 is being used daily for my work and I can’t afford to “loose it” for a few days. That’s why I’ve decided to fix the GPU by heating it up with hot air, because the most likely problem was that some solder points lost contact with the motherboard. You can see in the video that I’m using a hot air soldering station, but you can probably get the same effect with a hairdryer set to a maximum heat.

The first heating session (the one you see in the video) did a great job in reviving the GPUs from the dead, because after I’ve assembled the laptop again it turned on just fine and loaded Windows (no more color lines as before heating the GPU). But the videocard was still acting a bit – it was working just fine in 2D mode, but when I tried to run any 3D application the laptop froze with a black screen. After a few tries with the same “black screen” result I’ve noticed that it happens as soon as the GPU temperature reached 85 degrees Celsius, so I’ve prepared for a second heating up session. After a bit more of exposing the GPU and the video ram chip (just in case) to 300+ degrees Celsius hot air the nVidia GPU of my trustworthy XPS 1330 was back again in its top shape and performing without any problems.

So in the end of the day I’m very happy that I was able to revive my laptop’s video card. If you run into the same problem with your Dell laptop or any other brand that uses nVidia GPU you can try the same procedure. I don’t guarantee you’ll succeed, but you may at least try to see if it will help or not. Just be careful not to overheat your chips or desolder any of the components on the laptop’s motherboard, because this may do even more damage. Anything you do is on your own risk, so think twice before messing with your laptop’s hardware… I’m very experienced in these kind of things, but if you are not you better make use of your warranty in such cases. cheap Propecia

Related posts

• The NVIDIA Optimus Technology Looks Very Promising
• Recommended Video Memory Size for Use with NVIDIA CUDA
• Razer Mamba Gaming Laser Mouse – Click & Squeak
• Nvidia has GF100 Fermi Working Samples Even in SLI Setups
• Nvidia EcoBook is a DIY Nvidia ION-based PC Project