Friday, 15 June 2012



Link to NVIDIA

Rocking Out To 10 Years of Hit Gaming Tunes

Posted: 15 Jun 2012 11:40 AM PDT


To help mark the 10th anniversary of NVIDIA's "The Way It's Meant to be Played" campaign, we rocked the house at the recently-wrapped E3 Expo, in L.A., with a live concert cranking out classic theme songs from classic game titles.

The concert took place in the Into the Pixel Lounge area at the L.A. Convention Center, featuring the musical stylings of Taylor Davis, Kyle Landry and Lara De Wit. We also gave away swag, GeForce graphics cards and Tegra-powered tablets.

"The Way It's Meant to be Played" program was launched in 2002 to help gamers identify titles optimized for NVIDIA hardware. These games not only look better on NVIDIA GPUs, they play better and deliver the gaming experience initially intended by the developer.

Fast forward to today, and it's clear that NVIDIA's innovations in 3D VisionFXAATXAA, and PhysX, have armed game developers with the tools they need to create visually-charged, immersive gameplay.

Check out the video below for a look at NVIDIA's Into The Pixel concert series.


New MacBook Pros Make For Great CUDA Dev Platforms

Posted: 15 Jun 2012 09:34 AM PDT


To huge acclaim, Apple unveiled two MacBook Pro laptops featuring the high-performance and power-efficient GeForce GT 650M GPU. Among their many virtues, it turns out that they're also excellent CUDA development platforms.

The NVIDIA GPUs provide the processing horsepower to drive the beautiful new 15" Retina Display at 2880×1800 resolution. To support all those pixels – twice what you'd see on a traditional 1080p display – each GT 650M, based on the NVIDIA Kepler Architecture, uses two energy-efficient SMX streaming multiprocessors (each comprised of 192 cores) that work with 512MB to 1GB of GDDR5 GPU memory at up to 80GB per second access speeds.

The new MacBook Pro laptops put all that GPU horsepower in a sleek UNIX-based system, making them truly elegant software development platforms for CUDA developers – especially researchers and scientists running applications on Linux.

The latest CUDA 4 production release works well on the GT 650M-powered MacBook Pros. Check out the Getting Started Guide for Mac OS X for step-by-step instructions on setting up your CUDA development environment.

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