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Ramiro Marco Figuera
In this Master Thesis an analysis of illumination conditions at the lunar south pole using parallel computing techniques is presented. Due to the small inclination (1.54o) of the lunar rotational axis with respect to the ecliptic plane and the topography of the lunar south pole, which allows long illumination periods, the study of illumination conditions […]
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Johannes Koster
The analysis of next-generation sequencing (NGS) data is a major topic in bioinformatics: short reads obtained from DNA, the molecule encoding the genome of living organisms, are processed to provide insight into biological or medical questions. This thesis provides novel solutions to major topics within the analysis of NGS data, focusing on parallelization, scalability and […]
Vasvi Kakkad
Advances in technology have given rise to applications that are deployed on wireless sensor networks (WSNs), the cloud, and the Internet of things. There are many emerging applications, some of which include sensor-based monitoring, web traffic processing, and network monitoring. These applications collect large amount of data as an unbounded sequence of events and process […]
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Luna Backes
Computer vision (CV) is widely expected to be the next "Big Thing" in mobile computing. For example, Google has recently announced their project "Tango", a 5-inch Android phone containing highly customized hardware and software designed to track the full 3-dimensional motion of the device as you hold it while simultaneously creating a map of the […]
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Chok Meng Yip
Both size and computational activities of Vehicular Area Network (VANET) are growing. Simulation of VANETs not only requires the simulation of network standards, but also the mobility of nodes. Such dynamic system involves computation of node distance, routing protocols, application layer, data send, data receive, etc. The simulation model of VANET requires both hardware and […]
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Matthias Bach
Quarks and gluons are the building blocks of all hadronic matter, like protons and neutrons. Their interaction is described by Quantum Chromodynamics (QCD), a theory under test by large scale experiments like the Large Hadron Collider (LHC) at CERN and in the future at the Facility for Antiproton and Ion Research (FAIR) at GSI. However, […]
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Alex Rubinsteyn
The Python programming language has become a popular platform for data analysis and scientific computing. To mitigate the poor performance of Python’s standard interpreter, numerically intensive computations are typically offloaded to library functions written in high-performance compiled languages such as Fortran or C. When there is no efficient library implementation available for a particular algorithm, […]
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Stanley Tsang
Two well-known bipartite graph matching algorithms, the Gale-Shapley algorithm and the Hungarian (Kuhn-Munkres) algorithm, has been ported to run on General-Purpose Graphics Processing Units (GPGPU) using kernels written with the CUDA programming model. This was done with the goal of characterising and assessing the performance and behaviour of these matching algorithms on the GPU, and […]
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Angelos Trigkas
OpenCL SYCL is a new heterogeneous and parallel programming framework created by the Khronos Group that tries to bring OpenCL programming into C++. In particular, it enables C++ developers to create OpenCL kernels, using all the popular C++ features, such as classes, inheritance and templates. What is more, it dramatically reduces programming effort and complexity, […]
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Lan Vu
Current Big Data era is generating tremendous amount of data in most fields such as business, social media, engineering, and medicine. The demand to process and handle the resulting "big data" has led to the need for fast data mining methods to develop powerful and versatile analysis tools that can turn data into useful knowledge. […]
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Andre B. Amundsen
Graphic processing units (GPUs) have gained popularity in scientific computing the recent years. This is because of the massive computing power they can provide for parallel tasks, and while GPUs are powerful, it is also hard to fully utilize their power. A part of this difficulty comes from the many parameters available, and tuning of […]
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Andreas Bauer
Many problems in early computer vision, like image segmentation, image reconstruction, 3D vision or object labeling can be modeled by Markov Random Fields (MRF). General algorithms to optimize a MRF like Simulated Annealing, Belief Propagation or Iterated Conditional Modes are either slow or produce low quality results [Rother 07]. On the other hand, in the […]
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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.

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