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The latest released version of VLC, 1.1.0, that was out a week ago, and has been downloaded half-a-dozen millions times so far, has added GPU acceleration for HD decoding under Linux and Windows. On Windows, as already stated, the code isn't working correctly with AMD Radeon cards.
Therefore, we have been working with AMD on this topic and after common work, we are going to release a new version of VLC, versionned as 1.1.1, that will work with the upcoming ATI Catalyst 10.7 driver. AMD did provide us a beta of this driver and we have verified successfully that GPU acceleration works.
Changes between 1.1.0 and 1.1.1:
* Support for the new capabilities: libvlc_adjust_Enable, libvlc_adjust_Contrast,
libvlc_adjust_Brightness, libvlc_adjust_Hue, libvlc_adjust_Saturation, libvlc_adjust_Gamma
* Various fixes and crash preventions, especially when video functions were called early
* Fix h264 streaming in ts
Windows and Mac port:
* Fix mod files support
* Fix performance issues with GPU decoding using DxVA2 using ATI graphic cards
You NEED ATI Catalyst 10.7
* Interface and crash fixes
eyeon unveils the next generation of the GPU Supercomputing framework in Fusion® 6.1. This is not just an acceleration technology; this is unprecedented productivity advancement.
Exploiting the power of low cost GPU graphics cards with hundreds of cores, coupled with an expanded feature set, makes this release much more productive. The need for network rendering becomes greatly reduced, keeping the studio's infrastructure manageable and cost effective.
3D scene importing via FBX has been greatly expanded, streamlining the process between 3D animation and rendering to directly have the same assets working in Fusion. Produce passes and layers on the fly directly on the GPU at breath-taking speed. Cutting reliance on other applications and departments simplifies the production process.
Fusion 6.1 accelerates from the starting line with astounding GPU optimizations, local file caches and particle solution caching. The creative horizon expands with new tools for managing grain, color correction and handling metadata. Scripters will rejoice at the inclusion of native python support, and everyone benefits from the many enhancements to particles.
Fusion 6.1 now supports the OpenCL language, which allows tools to take advantage of the GPU in modern NVidia and ATI graphics cards to achieve blazing speed increases. How fast? We are seeing improvements as much as 1000% on some of the most processor intensive tools in Fusion (e.g. Defocus, Noise generators). Insert OpenCL code directly into Fuse tools to create your own GPU-accelerated tools.
OpenCL’s open computing language is a framework that utilizes the massively parallel operations of GPU's for general computing. Instead of just doing 3D OpenGL rendering on graphics cards, more general processing can be achieved at orders of magnitude faster than possible with just CPU's.
In recent years, the use of GP-GPUs for HPC has sparked quite a bit of interest. ... While there were more entries in the field (Cell and Larabee), the GP-GPU market has tuned into a two horse race with NVidia and AMD/ATI leading the way. From an HPC perspective, the GP-GPU can be considered a SIMD parallel co-processor (Single Instruction Multiple Data) Indeed, graphic processing is by its nature a SIMD process and it makes sense to borrow the hardware for other SIMD applications like those in HPC.
AMD’s ATI Radeon HD 5800 series was launched just over nine months ago. Since then, AMD has been true to its word releasing new driver updates every month. Our question is, "Have we seen driver performance improve since launch?" Certainly drivers updates and performance increases have traditionally gone hand in hand, and we have seen some mighty performance boosts with the latest NVIDIA drivers. Now we want to see how far along the Radeon HD 5870 has come since its first install into our PCIe slots.
Today’s testing is simple, we are going to take six games and compare different driver versions in an apples-to-apples comparison. We are using three different drivers. The first is the actual launch driver we used on September 22nd, 2009, when the Radeon HD 5870 launched. We will then compare that to the first official WHQL release for the Radeon HD 5800 series which is Catalyst 9.10 WHQL. Finally, these will be compared to the current Catalyst 10.6 WHQL driver to see if performance has improved over these last nine months. All testing below is done with a single stock Radeon HD 5870 1GB.
Graphic Remedy is proud to announce the release of gDEBugger Version 5.6 for Windows, Linux, Mac OS X, iPhone and iPad.
This version introduces iPhone and iPad on-device debugging and profiling abilities, letting developers optimize their App, in real-time, on the actual iPhone and iPad hardware, while viewing invaluable inside information such as device's GPU, CPU, graphic driver and operating system performance counters.
gDEBugger, an OpenGL, OpenGL ES and OpenCL debugger and profiler, traces application activity on top of the OpenGL API, lets programmers see what is happening within the graphic system implementation to find bugs and optimize OpenGL application performance. gDEBugger runs on Windows, Mac OS X, iPhone and Linux operating systems.