Alan Brunton, Jiying Zhao
In this paper, we propose a real-time video watermarking system on programmable graphics hardware. Real-time video watermarking is important to the use of digital video in legal proceedings, security surveillance, new reportage and commercial video transactions. The watermarking scheme implemented here is based on Wong’s scheme for image watermarking, and is designed to detect and […]
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Specifications GPU R300 Stream Processing Units 8 Core Clock 275 MHz Memory Clock 270 MHz Effective Memory Clock 540 MHz Memory Type DDR Amount of memory 128 MB Memory Bandwidth 8.64 GB/sec Buswidth 128 bit Tech process 150 nm Interface AGP 8x PS/VS version 2.0/2.0 DirectX compliance 9.0 Retail Cards Based On This Board 128 […]
M. Mahmud Hasan, M. Sazzad Karim, Emdad Ahmed
This paper discusses a process of generating and rendering procedural clouds for 3D environments using programmable 3D graphics hardware. Cloud texture generation is performed using Perlin noise and turbulence functions. Our implementation is done in OpenGL supported GPUs with programmable vertex & fragment processing pipeline that supports OpenGL shading language (GLSL). We have performed a […]
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Adam Moravanszky
Perhaps the most important innovation of the latest generation of programmable graphics processors (GPUs) is their capability to work with floating point color data. Previous generations of GPUs have worked with up to a byte of integer data per color channel. Developers working on graphics engines with advanced lighting effects often complained about banding artifacts, […]
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Free GPU computing nodes at hgpu.org

Registered users can now run their OpenCL application at hgpu.org. We provide 1 minute of computer time per each run on two nodes with two AMD and one nVidia graphics processing units, correspondingly. There are no restrictions on the number of starts.

The platforms are

Node 1
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  • GPU device 1: AMD/ATI Radeon HD 6970 2GB, 880MHz
  • CPU: AMD Phenom II X6 @ 2.8GHz 1055T
  • RAM: 12GB
  • OS: OpenSUSE 13.1
  • SDK: nVidia CUDA Toolkit 6.5.14, AMD APP SDK 3.0
Node 2
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  • CPU: Intel Core i7-2600 @ 3.4GHz
  • RAM: 16GB
  • OS: OpenSUSE 12.3
  • SDK: AMD APP SDK 3.0

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