Tuesday 22 November 2011

The NVIDIA Blog

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Tegra 3 Powers ‘Ice Cream Sandwich’ on ASUS Transformer Prime

Posted: 22 Nov 2011 06:36 AM PST

The world's first quad-core mobile processor became official recently with our announcement of the NVIDIA Tegra 3 chip, which debuts next month in the ASUS Eee Pad Transformer Prime Android tablet.

Following on Google's release of Android 4.0 "Ice Cream Sandwich" (ICS) source code last week, we thought you'd like an early demo of ICS running on the Eee Pad Transformer Prime.

Google has done a great job on ICS and has made the platform open to the ecosystem and easy to develop on. Thanks to Google's developer support, NVIDIA's experienced software team was able to work with ASUS to quickly bring up ICS on the Transformer Prime.

Recorded on Nov. 16th, only two short days after the source code for ICS was made publicly available, the video below shows the next-gen Android OS user interface looking clean and snappy on the Transformer Prime.

This is just an early demo, but we think you'll agree it's extremely impressive that so much is already working well. Check out the flawless 1080p video playback  and quick demo of the quad-core optimized Riptide GP game in the video below.

By the way, find pre-order information for the Asus Eee Pad Transformer Prime, powered by Tegra 3, at asustablets.us.

Help Us Map The World Of GPU Computing

Posted: 21 Nov 2011 04:25 PM PST

A friend recently asked me how many universities I could name off the top of my head that carrying out research using GPUs.

To my surprise, I was able to name over 30. That's not a bad start. But it's  not even close to the total number of computing centers and researchers around the world using GPUs to accelerate science.

That got me thinking. Wouldn't it be nice if there was a list of global GPU computing activity that the community could visualize on an interactive map?

Since one didn't exist, I decided to kick-start this list myself.

The map below shows some of the GPU computing activity happening around the world today. I've seeded a few institutes that are carrying out research using GPU computing clusters. Zoom in and click on individual markers for information on the associated institute and their GPU research.

View GPU Computing Academic Partners in a full screen map

This project won't fully succeed, though, without your help. If you have a GPU compute cluster, let us know what you're using it for – astrophysics, biology, climate, fusion or any other kind of science.

Just place a pin on the map above to indicate the location of your GPU-based research, leave a comment below with the name and address of your institution (Format – address, city, state/province, zip/post code and country), your email address and  a short description about your field of research. This will help us inform the GPU computing community about how you and your institute are doing your part to change the computing landscape.

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