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Jing Wu
An emerging trend in processor architecture seems to indicate the doubling of the number of cores per chip every two years with same or decreased clock speed. Of particular interest to this thesis is the class of many-core processors, which are becoming more attractive due to their high performance, low cost, and low power consumption. […]
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Fabio Miguel Cardoso Soldado
The Graphics Processing Unit (GPU) is present in almost every modern day personal computer. Despite its specific purpose design, they have been increasingly used for general computations with very good results. Hence, there is a growing effort from the community to seamlessly integrate this kind of devices in everyday computing. However, to fully exploit the […]
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Alexander Schade
We have shown how the Fourier spectrum and the power spectral density can be estimated in concrete measurements. Moreover, we have derived spectral leakage, which is a systematic error in spectrum computation. The Nyquist-Shannon sampling theorem and aliasing have been discussed. Furthermore, we have implemented a spectrum analyzer using a combination of LabView, GPU computing […]
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Amrit Panda
Stream processing has emerged as an important model of computation especially in the context of multimedia and communication sub-systems of embedded System-on-Chip (SoC) architectures. The dataflow nature of streaming applications allows them to be most naturally expressed as a set of kernels iteratively operating on continuous streams of data. The kernels are computationally intensive and […]
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Ilker Gurcan
Tracking objects in a video stream is an important problem in robot learning (learning an object’s visual features from different perspectives as it moves, rotates, scales, and is subjected to some morphological changes such as erosion), defense, public security and many other various domains. In this thesis, we focus on a recently proposed tracking framework […]
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Steven Gurfinkel
Many computer systems now include both CPUs and programmable GPUs. OpenCL, a new programming framework, can program individual CPUs or GPUs; however, distributing a problem across multiple devices is more difficult. This thesis contributes three OpenCL runtimes that automatically distribute a problem across multiple devices: DualCL and m2sOpenCL, which distribute tasks across a single system’s […]
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Mehmet Ufuk Buyuksahin
Galois Field arithmetic has been used very frequently in popular security and error-correction applications. Montgomery multiplication is among the suitable methods used for accelerating modular multiplication, which is the most time consuming basic arithmetic operation. Montgomery multiplication is also suitable to be implemented in parallel. OpenCL, which is a portable, heterogeneous and parallel programming framework, […]
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Hisham Mohamed
This thesis studies the scalability of the similarity search problem in large-scale multidimensional data. Similarity search, translating into the neighbour search problem, finds many applications for information retrieval, visualization, machine learning and data mining. The current exponential growth of data motivates the need for approximate and scalable algorithms. In most of existing algorithms and data-structures, […]
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Muhammad Kashif Hanif
Alignment is the fundamental operation used to compare biological sequences. It also serves to identify regions of similarity that are eventually consequences of structural, functional, or evolutionary relationships. Today, the processing of sequences from large DNA or protein databases is a big challenge. Graphics Processing Units (GPUs) are based on a highly parallel, many-core streaming […]
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Jose Antonio Belloch Rodriguez
Multichannel acoustic signal processing has undergone major development in recent years due to the increased complexity of current audio processing applications. People want to collaborate through communication with the feeling of being together and sharing the same environment, what is considered as Immersive Audio Schemes. In this phenomenon, several acoustic effects are involved: 3D spatial […]
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Eirik Myklebost
Finite-Difference Time-Domain (FDTD) is a popular technique for modeling computational electrodynamics, and is used within many research areas, such as the development of antennas, ultrasound imaging, and seismic wave propagation. Simulating large domains can however be very compute and memory demanding, which has motivated the use of cluster computing, and lately also the use of […]
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Alaettin Zubaroglu
Radar producers, which are mostly in defense industry, need radar environment simulator to test their products during the development. Such a simulator helps them to be able to get rid of costly field tests. For developing a radar environment simulator, radio wave propagation should be modeled. However, this is a computationally expensive and time consuming […]
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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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Node 1
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  • RAM: 16GB
  • OS: OpenSUSE 12.2
  • SDK: nVidia CUDA Toolkit 6.0.1, AMD APP SDK 2.9

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