Jesus Ojeda Contreras
Nowadays there is great demand for realistic simulations in the computer graphics field. Physically-based animations are commonly used, and one of the more complex problems in this field is fluid simulation, more so if real-time applications are the goal. Videogames, in particular, resort to different techniques that, in order to represent fluids, just simulate the […]
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James Stovold
There is a huge computational potential in unconventional computing paradigms such as reaction-diffusion chemistry. The main problem with unconventional systems is the inherent difficulty in programming them. By extending the computational application of reaction-diffusion systems, this problem may be alleviated, as every new application allows for another method of approaching problems. With the central nervous […]
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Balazs Tukora
The efficient planning of automated machining processes is unthinkable without the use of offline CAM systems. Though machining programs can be written and input manually, right at the machine controller, if the workpiece geometry is complex, or if the machined features are numerous, the help of CAM software is essential for generating the program both […]
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Robert Hochberg
We use the example of Matrix Multiplication to introduce the basics of GPU computing in the CUDA environment. It is assumed that the student is familiar with C programming, but no other background is assumed. The goal of this module is to show the student how to offload parallel computations to the graphics card, when […]
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Vasileios Xouris
In this dissertation we examine the efficiency of GPUs with a limited number of stream processors (up to 32), located in desktops and laptops, in the execution of algorithms such as hashing (MD5, SHA1), encryption (Salsa20) and compression (LZ78). For the implementation part, the OpenCL framework was used under OS X. The graphic cards tested […]
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Vassil Hristov
Modern Graphical Processing Units (GPUs) can perform general purpose computing, next to standard graphical processing. Open frameworks, such as the OpenCL standard by the Khronos Group, enable developers to easily harness the computational power of GPUs. While in certain aspects, these are more powerful than standard CPUs, the latter are still a more suitable solution […]
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Julia Moehrmann, Stefan Bernstein, Thomas Schlegel, Gunter Werner, Gunther Heidemann
Image recognition systems require large image data sets for the training process. The annotation of such data sets through users requires a lot of time and effort, and thereby presents the bottleneck in the development of recognition systems. In order to simplify the creation of image recognition systems it is necessary to develop interaction concepts […]
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M. Mustafa Rafique, Ali R. Butta, Dimitrios S. Nikolopoulos
Multicore computational accelerators such as GPUs are now commodity components for high-performance computing at scale. While such accelerators have been studied in some detail as stand-alone computational engines, their integration in large-scale distributed systems raises new challenges and trade-offs. In this paper, we present an exploration of resource management alternatives for building asymmetric accelerator-based distributed […]
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Ravish Mehra, Nikunj Raghuvanshi, Lauri Savioja, Ming C. Lin, Dinesh Manocha
An efficient algorithm for time-domain solution of the acoustic wave equation for the purpose of room acoustics is presented. It is based on adaptive rectangular decomposition of the scene and uses analytical solutions within the partitions that rely on spatially invariant speed of sound. This technique is suitable for auralizations and sound field visualizations, even […]
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M. Mustafa Rafique, Ali R. Butt, Eli Tilevich
The emerging accelerator-based heterogeneous clusters, comprising specialized processors such as the IBM Cell and GPUs, have exhibited excellent price to performance ratio as well as high energy-efficiency. However, developing and maintaining software for such systems is fraught with challenges, especially for modern high-performance computing (HPC) applications that can benefit the most from leveraging accelerators. If […]
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Pedro Valero, Fernando L. Pelayo
This paper presents a new proposal of use for GPUs in which more than one job can be executed simultaneously in a single GPU. The requirements for this are provided and a performance evaluation for such a new scenario is also presented. Finally the results of these performance measurements are analyzed and the paper is […]
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Daniel Madeira, Anselmo Montenegro, Esteban Clua, Thomas Lewiner
Octree structures are widely used in graphic applications to accelerate the computation of geometric proximity relations. This data strucutre is fundamental for game engine architectures for a correct scene management and culling process. With the increasing power of graphics hardware, processing tasks are progressively ported of to those architectures. However, octrees are essentially hierarchical structures, […]
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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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  • SDK: nVidia CUDA Toolkit 6.5.14, AMD APP SDK 3.0
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  • RAM: 16GB
  • OS: OpenSUSE 12.3
  • SDK: AMD APP SDK 3.0

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