We Are All Made of Stars
400,000 particles rendered using physics determined by movement detected on webcam, creating swirling explosions as the user moves. Happy fireworks night from the UK!
Try the NVIDIA GRID cloud gaming beta, available exclusively to SHIELD owners in Northern California. Instantly stream high-quality PC games to your SHIELD.
To participate in the GRID beta, you'll need:
NVIDIA SHIELD gaming portable
Internet connection with at least a 10 Mbps download speed
Home network with 40 ms or less ping time to the GRID cloud gaming servers in San Jose, CA
NVIDIA GameStream™-Ready 5 GHz Wi-Fi router
This is a test driver for upcoming driver performance improvements.
For Production environments please use 331.82 - the latest ODE driver.
DriverVer = 11/18/2013, 22.214.171.12487
CatalogFile = NV_DISP.CAT
NVIDIA_DEV.019D = "NVIDIA Quadro FX 5600"
NVIDIA_DEV.019E = "NVIDIA Quadro FX 4600"
NVIDIA_DEV.040A = "NVIDIA Quadro FX 370"
NVIDIA_DEV.040D = "NVIDIA Quadro FX 1600M"
NVIDIA_DEV.040E = "NVIDIA Quadro FX 570"
NVIDIA_DEV.040F = "NVIDIA Quadro FX 1700"
NVIDIA_DEV.042F = "NVIDIA Quadro NVS 290"
NVIDIA_DEV.05E7 = "NVIDIA Tesla C1060"
NVIDIA_DEV.05E7.0595.10DE = "NVIDIA Tesla T10 Processor"
NVIDIA_DEV.05E7.066A.10DE = "NVIDIA Tesla C1060 "
NVIDIA_DEV.05E7.068F.10DE = "NVIDIA Tesla T10 Processor "
NVIDIA_DEV.05E7.0697.10DE = "NVIDIA Tesla M1060"
NVIDIA_DEV.05E7.0714.10DE = "NVIDIA Tesla M1060 "
NVIDIA_DEV.05E7.0743.10DE = "NVIDIA Tesla M1060 "
NVIDIA_DEV.05F9 = "NVIDIA Quadro CX"
NVIDIA_DEV.05FD = "NVIDIA Quadro FX 5800"
NVIDIA_DEV.05FE = "NVIDIA Quadro FX 4800"
NVIDIA_DEV.05FF = "NVIDIA Quadro FX 3800"
NVIDIA_DEV.0619 = "NVIDIA Quadro FX 4700 X2"
NVIDIA_DEV.061A = "NVIDIA Quadro FX 3700"
NVIDIA_DEV.061B = "NVIDIA Quadro VX 200"
NVIDIA_DEV.061C = "NVIDIA Quadro FX 3600M"
NVIDIA_DEV.061D = "NVIDIA Quadro FX 2800M"
NVIDIA_DEV.0638 = "NVIDIA Quadro FX 1800"
NVIDIA_DEV.0658 = "NVIDIA Quadro FX 380"
NVIDIA_DEV.0659 = "NVIDIA Quadro FX 580"
NVIDIA_DEV.065C = "NVIDIA Quadro FX 770M"
NVIDIA_DEV.06D1 = "NVIDIA Tesla C2050 / C2070"
NVIDIA_DEV.06D1.0771.10DE = "NVIDIA Tesla C2050"
NVIDIA_DEV.06D1.0772.10DE = "NVIDIA Tesla C2070"
NVIDIA_DEV.06D2 = "NVIDIA Tesla M2070"
NVIDIA_DEV.06D2.0774.10DE = "NVIDIA Tesla M2070 "
NVIDIA_DEV.06D2.0830.10DE = "NVIDIA Tesla M2070 "
NVIDIA_DEV.06D2.0842.10DE = "NVIDIA Tesla M2070 "
NVIDIA_DEV.06D2.088F.10DE = "NVIDIA Tesla X2070"
NVIDIA_DEV.06D2.0908.10DE = "NVIDIA Tesla M2070 "
NVIDIA_DEV.06D8 = "NVIDIA Quadro 6000"
NVIDIA_DEV.06D9 = "NVIDIA Quadro 5000"
NVIDIA_DEV.06DC = "NVIDIA Quadro 6000 "
NVIDIA_DEV.06DD = "NVIDIA Quadro 4000"
NVIDIA_DEV.06DE = "NVIDIA Tesla T20 Processor"
NVIDIA_DEV.06DE.0773.10DE = "NVIDIA Tesla S2050"
NVIDIA_DEV.06DE.082F.10DE = "NVIDIA Tesla M2050"
NVIDIA_DEV.06DE.0840.10DE = "NVIDIA Tesla X2070 "
NVIDIA_DEV.06DE.0842.10DE = "NVIDIA Tesla M2050 "
NVIDIA_DEV.06DE.0846.10DE = "NVIDIA Tesla M2050 "
NVIDIA_DEV.06DE.0866.10DE = "NVIDIA Tesla M2050 "
NVIDIA_DEV.06DE.0907.10DE = "NVIDIA Tesla M2050 "
NVIDIA_DEV.06DE.091E.10DE = "NVIDIA Tesla M2050 "
NVIDIA_DEV.06DF = "NVIDIA Tesla M2070-Q"
NVIDIA_DEV.06DF.084D.10DE = "NVIDIA Tesla M2070-Q "
NVIDIA_DEV.06DF.087F.10DE = "NVIDIA Tesla M2070-Q "
NVIDIA_DEV.06F8 = "NVIDIA Quadro NVS 420"
NVIDIA_DEV.06F9 = "NVIDIA Quadro FX 370 LP"
NVIDIA_DEV.06FA = "NVIDIA Quadro NVS 450"
NVIDIA_DEV.06FB = "NVIDIA Quadro FX 370M"
NVIDIA_DEV.06FD = "NVIDIA Quadro NVS 295"
NVIDIA_DEV.06FF = "NVIDIA HICx16 + Graphics"
NVIDIA_DEV.06FF.0711.10DE = "NVIDIA HICx8 + Graphics"
NVIDIA_DEV.087A = "NVIDIA GeForce 9400 "
NVIDIA_DEV.0A38 = "NVIDIA Quadro 400"
NVIDIA_DEV.0A3C = "NVIDIA Quadro FX 880M"
NVIDIA_DEV.0A78 = "NVIDIA Quadro FX 380 LP"
NVIDIA_DEV.0DD8 = "NVIDIA Quadro 2000"
NVIDIA_DEV.0DD8.0914.10DE = "NVIDIA Quadro 2000D"
NVIDIA_DEV.0DF8 = "NVIDIA Quadro 600"
NVIDIA_DEV.0DF9 = "NVIDIA Quadro 500M"
NVIDIA_DEV.0DFA = "NVIDIA Quadro 1000M"
NVIDIA_DEV.0E3A = "NVIDIA Quadro 3000M"
NVIDIA_DEV.0E3B = "NVIDIA Quadro 4000M"
NVIDIA_DEV.0FF2 = "NVIDIA GRID K1"
NVIDIA_DEV.0FF9 = "NVIDIA Quadro K2000D"
NVIDIA_DEV.0FFA = "NVIDIA Quadro K600"
NVIDIA_DEV.0FFD = "NVIDIA NVS 510"
NVIDIA_DEV.0FFE = "NVIDIA Quadro K2000"
NVIDIA_DEV.0FFF = "NVIDIA Quadro 410"
NVIDIA_DEV.1021 = "NVIDIA Tesla K20Xm"
NVIDIA_DEV.1022 = "NVIDIA Tesla K20c"
NVIDIA_DEV.1023 = "NVIDIA Tesla K40m"
NVIDIA_DEV.1024 = "NVIDIA Tesla K40c"
NVIDIA_DEV.1027 = "NVIDIA Tesla K40st"
NVIDIA_DEV.1028 = "NVIDIA Tesla K20m"
NVIDIA_DEV.1029 = "NVIDIA Tesla K40s"
NVIDIA_DEV.103A = "NVIDIA Quadro K6000"
NVIDIA_DEV.107C = "NVIDIA NVS 315"
NVIDIA_DEV.107D = "NVIDIA NVS 310"
NVIDIA_DEV.1091 = "NVIDIA Tesla M2090"
NVIDIA_DEV.1091.0887.10DE = "NVIDIA Tesla M2090 "
NVIDIA_DEV.1091.088E.10DE = "NVIDIA Tesla X2090"
NVIDIA_DEV.1091.0891.10DE = "NVIDIA Tesla X2090 "
NVIDIA_DEV.1094 = "NVIDIA Tesla M2075"
NVIDIA_DEV.1094.0888.10DE = "NVIDIA Tesla M2075 "
NVIDIA_DEV.1096 = "NVIDIA Tesla C2075"
NVIDIA_DEV.1096.0910.10DE = "NVIDIA Tesla C2075 "
NVIDIA_DEV.1096.0911.10DE = "NVIDIA Tesla C2050 "
NVIDIA_DEV.109B = "NVIDIA Quadro 7000"
NVIDIA_DEV.109B.0918.10DE = "NVIDIA Quadro 7000 "
NVIDIA_DEV.10D8 = "NVIDIA NVS 300"
NVIDIA_DEV.118F = "NVIDIA Tesla K10"
NVIDIA_DEV.11BA = "NVIDIA Quadro K5000"
NVIDIA_DEV.11BC = "NVIDIA Quadro K5000M"
NVIDIA_DEV.11BD = "NVIDIA Quadro K4000M"
NVIDIA_DEV.11BE = "NVIDIA Quadro K3000M"
NVIDIA_DEV.11BF = "NVIDIA GRID K2"
NVIDIA_DEV.11FA = "NVIDIA Quadro K4000"
Highlights of the AMD Catalyst™ 13.11 Beta V9.4 Driver for Linux:
This release of AMD Catalyst™ Linux introduces support for the following new features:
 : Resolves crash when resizing Konsole
 : Resolves brightness adjustment issues
 : Resolves kernel module compile failure when CONFIG_UIDGID_STRICT_TYPE_CHECKS is enabled
 : Avoids the new GPL symbol acpi_bus_get_device for new kernel support
 : Resolves system hang on resume from S4 with OpenGL screen saver running
EVGA Precision X APP
Introducing the next generation of GPU overclocking software: EVGA Precision X. Designed from the ground up to support the latest GPU technologies, EVGA Precision X redefines what overclocking software should be. This program allows you to fine tune your EVGA graphics card.*
*Requires a Bluetooth enabled PC and the latest version of precision (http://www.evga.com/precision/)
This is a guide for building a bootable SD card to run Linux on the Samsung Chromebook XE303C12 as an alternative operating system to ChromeOS. The guide assumes some Linux experience as a user and programmer. More specifically, one should be familiar with opening and executing commands in a terminal, mounting/unmounting storage devices and navigating the GUI.
The supported windowing systems are fbdev (direct frame buffer access) and X11. The instructions are written for all variants with accompanying notes where there are differences.
As the CPUs and GPUs in mobile devices have become more powerful and devices with one or more high-resolution screen have become ubiquitous, the demand for complex interactions with the graphics driver has increased. In this blog post, I’ll discuss what multi-thread and multi-window rendering means to developers, and I’ll describe if and when these techniques should be used in your apps.
Multi-thread, multi-window rendering makes it very easy to shoot yourself in the foot by creating complex, hard to debug rendering engines. However, it also provides a lot of power and flexibility when used correctly. If you stick to the guidelines outlined in this post, you can improve the performance of your resource loading without introducing unnecessary headaches.
WebGL Debugging and Profiling Tools
With the new shader editor in Firefox 27 (available now in Aurora), WebGL tools are taking a big step in the right direction. This article reviews the current state of WebGL debugging and profiling tools with a focus on their use for real engines, not simple demos. In particular, our engine creates shaders dynamically; uses WebGL extensions like Vertex Array Objects; dynamically creates, updates, and deletes 100′s of MB of vertex buffers and textures; renders to different framebuffers; and uses web workers. We’re only interested in tools that provide useful results for our real-world needs.
Khronos announces OpenCL 2.0 and OpenVX 1.0 Provisional Specification
At SC13 The Khronos Group announced the release of the OpenCL 2.0 Specification for Heterogeneous Computing and the launch of the OpenVX 1.0 Provisional Specification for Computer Vision Acceleration.
TESLA GPU ACCELERATORS FOR SERVERS
With the introduction of Tesla K40 GPU Accelerators, you can run big scientific models on its 12GB of GPU accelerator memory, capable of processing 2x larger datasets and ideal for big data analytics. It also outperforms CPUs by up to 10x with its GPUBoost feature, converting power headroom into user-controlled performance boost.
Download the Tesla Kepler Family Product Overview
DriverVer = 10/08/2013, 126.96.36.19947
CatalogFile = NVWU.CAT
NVIDIA_DEV.1024 = "NVIDIA Tesla K40c"
NVIDIA_DEV.1024.0983.103C = "NVIDIA Tesla K40c "
NVIDIA_DEV.103A = "NVIDIA Quadro K6000"
NVIDIA_DEV.103A.1036.103C = "NVIDIA Quadro K6000 "
This is a series of minimalistic WebGL animations representing endless 3D landscapes. These animated loops were created for the purpose of technical experimentation around real-time 3D and Three.js. All landscapes are based on the awesome VJ clips by motion designer Beeple.
Thanks for checking out this Internet Explorer 11 demo. This demo uses ECMAScript 5 features to simulate and measure popcorn popping performance.
Demo Author: John-David Dalton, Microsoft Corporation
This will be the first public release of the Media SDK. Please download the release, review it and send us your feedback . I look forward to incorporating your feedback into a truly world class Media SDK that enables developers to provide unique and differentiated multimedia experiences on the AMD platform.
So what’s cool about the Media SDK and why should developers care about it? Specifically I would like to highlight the following features:
Video Pre/Post Processing
AMD has developed a powerful suite of GPU compute shader optimized video processing features like AMD Steady VideoTM, dynamic contrast and noise reduction. The Media SDK provides APIs for leveraging these unique and differentiated video processing capabilities.
Video Encoding and Decoding
The Media SDK provides APIs for leveraging the fixed function hardware blocks – Video Compression Engine (VCE) and Unified Video Decoder (UVD) – for video encoding and decoding respectively.
This article and the attached sample code project were written by Marc Fauconneau Dufresne at Intel Corp.
This sample demonstrates a state of the art BC7 (DX11) Texture compressor. BC7 partitioning decisions are narrowed down in multiple stages. Final candidates are optimized using iterative endpoint refinement. All BC7 modes are supported. SIMD instruction sets are exploited using the Intel SPMD Compiler. Various quality/performance trade-offs are offered.
This article, sample code and whitepaper were produced by Leigh Davies (Intel) who examines how to optimize your graphics applications such that they self adjust their workload on CPU/GPU to prolong a system's battery life while maintaining an acceptable visual quality for the user.
Today any review of a new processor whether it’s used in a desktop computer, a laptop, a tablet or a phone will contain lots of information about how efficient it is and the new technologies that have been used to achieve this performance. Operating system developers spend large amounts of time optimizing improve efficiency and extend battery life, but what can be done by someone who is designing an application and wants to ensure it runs as efficiently as possible? The aim of this sample is to provide insight into how features in a game can affect the power efficiency of the hardware it’s running on including the importance of frame rate capping, the effect of bandwidth on power and the cost of running asynchronous CPU work. The sample also demonstrates a way an application can adjust its workload to prolong a system’s battery life when it detects a change from AC power to battery, how aggressive the change is can be adjusted based on the currently active windows power scheme