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About

hgpu.org is a resource for people who seek the possibility to accelerate their computations by means of Graphics Processing Units (GPU). The site contains links to reviews, tutorials, research papers, program packages concerning various aspects of graphics and non-graphics (general purpose computing) using of GPU and related parallel architectures (FPGA, Cell processors etc.). The site also collects and catalogued information about programming tools and modern hardware for development of GPU applications.

 

The Events page provides links to related conferences, seminars and meetings. We are continuously updating links, papers and other information in our effort push the envelope of GPU computations.

 

Registered users can place their own information on hgpu.org and try OpenCL applications on two GPU nodes provided free of charge.

 

hgpu.org is administrated by a research group working in the field of high-energy physics and molecular modelling. We apply calculations on GPU for the problems of physics and extend the experience to other areas of science and industry.

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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

Completed OpenCL project should be uploaded via User dashboard (see instructions and example there), compilation and execution terminal output logs will be provided to the user.

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