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Piyush Mittal
Most of the web applications are associated with database as back-end so there are possibilities of SQL injection attacks (SQLIA) on it. Even SQLIA is among top ten attacks according to Open Web Application Security Project (OWASP) but still approaches are not able to give proper solution to this problem. Numbers of measures are also […]
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Georgios Krespis
In recent years, graphics processing units (GPUs) have evolved into powerful devices with significant computational performance and memory throughput. Efforts to exploit their potential to tackle problems from various scientific domains with high computational requirements have proven quite successful. In addition, previous research suggests that database query processing algorithms can be accelerated with the utilisation […]
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Karl-Ingo Friese, Philipp Blanke, Franz-Erich Wolter
In this work, we present the concept, design and implementation of a new software to visualize and segment 3-dimensional medical data. The main goal was to create a platform that would allow to try out new approaches and ideas while staying independent from hardware and operating system, being especially useful for interdisciplinary research groups. A […]
Thanh T. Cao, Ke Tang, Anis Mohamed, Tiow S. Tan
We propose a Parallel Banding Algorithm (PBA) on the GPU to compute the exact Euclidean Distance Transform (EDT) for a binary image in 2D and higher dimensions. Partitioning the image into small bands to process and then merging them concurrently, PBA computes the exact EDT with optimal linear total work, high level of parallelism and […]
Joshua L. Payne, Nicholas A. Sinnott-Armstrong, Jason H. Moore
Advances in the video gaming industry have led to the production of low-cost, high-performance graphics processing units (GPUs) that possess more memory bandwidth and computational capability than central processing units (CPUs), the standard workhorses of scientific computing. With the recent release of generalpurpose GPUs and NVIDIA’s GPU programming language, CUDA, graphics engines are being adopted […]

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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
  • GPU device 0: AMD/ATI Radeon HD 5870 2GB, 850MHz
  • 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: AMD APP SDK 2.9
Node 2
  • GPU device 0: AMD/ATI Radeon HD 7970 3GB, 1000MHz
  • GPU device 1: nVidia GeForce GTX 560 Ti 2GB, 822MHz
  • CPU: Intel Core i7-2600 @ 3.4GHz
  • RAM: 16GB
  • OS: OpenSUSE 12.2
  • SDK: nVidia CUDA Toolkit 6.0.1, AMD APP SDK 2.9

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