Kritika Kurani
A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the person. Iris recognition systems are the most definitive biometric system since complex random iris patterns are unique to each individual and do not change with time. Iris Recognition is basically divided into three steps, namely, Iris […]
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Christos Tsotskas, Timoleon Kipouros, Anthony Mark Savill
Metaheuristics is a class of approximate methods based on heuristics that can effectively handle real world (usually NP-hard) problems of high-dimensionality with multiple objectives. An existing multi-objective Tabu-Search (MOTS2) has been re-designed by and ported onto Compute Unified Device Architecture (CUDA) so as to effectively deal with a scalable multi-objective problem with a range of […]
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Sergio Sanchez, German Leon, Antonio Plaza, Enrique S. Quintana-Orti
Remotely sensed hyperspectral imaging missions are often limited by onboard power restrictions while, simultaneously, require high computing power in order to address applications with relevant constraints in terms of processing times. In recent years, graphics processing units (GPUs) have emerged as a commodity computing platform suitable to meet real-time processing requirements in hyperspectral image processing. […]
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Egil Fykse
The objective of this thesis is to compare the suitability of FPGAs, GPUs and DSPs for digital image processing applications. Normalized cross-correlation is used as a benchmark, because this algorithm includes convolution, a common operation in image processing and elsewhere. Normalized cross-correlation is a template matching algorithm that is used to locate predefined objects in […]
Kristoffer Clausen Thyholdt
The lattice Boltzmann method has become a valuable tool in computational fluid dynamics, one of the reasons is due to the simplicity of its coding. In order to maximize the performance potential of today’s computers, code has to be optimized for parallel execution. In order to achieve parallel execution of the lattice Boltzmann method, the […]
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Jaime C. Acosta, Brenda G. Medina, Humberto Mendoza
It is well known that malware (worms, botnets, etc…) thrive on communication systems. The process of detecting and analyzing malware is very latent and not well-suited for real-time application, which is critical especially for propagating malware. For this reason, recent methods identify similarities among malware dynamic trace logs to extract malicious behavior snippets. These snippets […]
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Martin Clauss
In this paper we investigate a solution to the problem of simulating the spread of epidemics in real-world trading networks. We developed an application that uses parallel computing devices (e.g. GPUs – Graphical Processing Units) with OpenCL (Open Computing Language). Furthermore, we use the epidemiological SIRmodel to represent the nodes of the trading network. Initially, […]
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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
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  • GPU device 1: AMD/ATI Radeon HD 5870 2GB, 850MHz
  • CPU: Intel Core i7-2600 @ 3.4GHz
  • RAM: 16GB
  • OS: OpenSUSE 12.3
  • SDK: AMD APP SDK 3.0

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