In conjunction with the latest NVIDIA® SHIELD™ update, Tegra Android Development Pack 2.0r6 provides same-day support for the powerful SHIELD game development tools, including Tegra Profiler, Nsight Tegra and PerfHUD ES.
Tegra Android Development Pack (TADP) is a suite of SDKs, developer tools, drivers and OS images bundled in a single package to help simplify setting up and managing an Android development environment. In addition to support for the latest Tegra SOC in mobile computing, NVIDIA Tegra® 4 which powers the NVIDIA® SHIELD™, TADP 2.0r6 adds the following updates.
The CUDA 5.5 installers include the CUDA Toolkit, SDK code samples, Nsight Visual Studio edition (for Windows) and Nsight Eclipse Edition (for Linux / Mac OS X), and developer drivers.
In order to use graphics cards based on the Maxwell architecture, please get updated drivers. The drivers in the packages below could have been superseded since CUDA Installer release - always check for driver updates.
CUDA 5.5 Production Release Release Notes.
Tags: Games and Graphics
Last week in Montreal NVIDIA renewed its commitment: “The Way It’s Meant To Be Played” to gaming and technology press from around the globe at Editors Day. As well as highlighting unique content in the season’s best games and a new top of the line graphics card, three exciting new technologies were unveiled: G-SYNC, GameStream and ShadowPlay.
New NVIDIA Nsight Visual Studio Edition 3.2 Available with Windows 8.1 Support and Improved DirectCompute Profiling
A new version of NVIDIA® Nsight™ Visual Studio Edition is available for download now! The NVIDIA Developer Tools team is proud to announce the release of Nsight Visual Studio Edition 3.2. This new version officially supports Windows 8.1, profiling DirectCompute dispatches in the frame profiler and improved shader debugging performance.
Please note that this release of Nsight™ Visual Studio Edition requires NVIDIA Display Driver Release 327 or newer.
"CUDA Fortran for Scientists and Engineers" shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover the basics along with best practices for efficient GPU computing using CUDA Fortran.
To help you add CUDA Fortran to existing Fortran codes, the book explains how to understand the target GPU architecture, identify computationally intensive parts of the code, and modify the code to manage the data and parallelism and optimize performance. All of this is done in Fortran, without having to rewrite in another language. Each concept is illustrated with actual examples so you can immediately evaluate the performance of your code in comparison.
Leverage the power of GPU computing with PGI s CUDA Fortran compilerGain insights from members of the CUDA Fortran language development team.
Includes multi-GPU programming in CUDA Fortran, covering both peer-to-peer and message passing interface (MPI) approaches. Includes full source code for all the examples and several case studies.
Download source code and slides from the book's companion website
HAWKEN uses PhysX particles and APEX Turbulence to create a more immersive and realistic experience for the player. We talked to Johnny Costello of the NVIDIA PhysX Art Team to find out how it was done.
Spotlighting how our blazingly fast Tegra 4 technology produces games with amazing visuals, including dynamic shadows, depth of field, and HDR to name a few, the video below shows game developers like Bitsquid, Steel Wool Games and Vivid Games show off their latest games running on Tegra 4.