Franz G. Fuchs, Jon M. Hjelmervik, Erik C. Dyken, Erik W. Bjonnes
A recent development, called isogeometric analysis, provides a unified approach for design, analysis and optimization of functional products in industry. Common volume rendering methods for inspecting the results from the numerical simulations can not be applied directly to isogeometric models. We present a novel approach for interactive visualization of isogeometric analysis results, ensuring correct, i.e., […]
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Bhavneet Kaur, Sonika Jindal
CBIR is the method of searching the digital images from an image database. "Content-based" means that the search analyzes the contents of the image rather than the metadata such as colours, shapes, textures, or any other information that can be derived from the image itself. The GPU is a powerful graphics engine and a highly […]
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Fan Li, Ming-lu Jin
As a population-based algorithm, Ant Colony Optimization (ACO) is intrinsically massively parallel, and therefore it is expected to be well-suited for implementation on GPUs (Graphics Processing Units). In this paper, we present a novel ant colony optimization algorithm (called GACO), which based on Compute Unified Device Architecture (CUDA) enabled GPU. In GACO algorithm, we utilize […]
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David Mainzer, Gabriel Zachmann
We present a novel approach to perform collision detection queries between rigid and/or deformable models. Our method can handle arbitrary deformations and even discontinuous ones. For this, we subdivide the whole scene with all objects into connected but totally independent parts by a fuzzy clustering algorithm. Following, for every part our algorithm performs a Principal […]
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Dharmesh Bhalodiya, Chhaya Patel
Frequent itemset mining (FIM) is a core area for many data mining applications as association rules computation, clustering and correlations, which has been comprehensively studied over the last decades. Furthermore, databases are becoming gradually larger, thus requiring a higher computing power to mine them in reasonable time. At the same time, the improvements in high […]
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Shruti S.Agrawal, C.K.Kurve
Digital Image Processing is an evergreen area of research in the signal processing domain. Denoising of digital images is one of the most fundamental operations that is performed in the pre-processing stage of almost all image processing operations. This important feature makes denoising as one of the lucrative research areas within the broad area of […]
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Yukun Zhong, ZhiWei He, XianHong Wang, Liao Gang
With early hardware limitations of the GPU (lack of synchronization primitives and limited memory caching mechanisms)can make GPU-based computation inefficient, and emerging DNA sequence technologies open up more opportunities for molecular biology. This paper presents the issues of parallel implementation of longest overlap region Problem on a multiprocessor GPU using the Compute Unified Device Architecture […]
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Yukun Zhong, ZhiWei He, XianHong Wang, XiongBin Cao
Traditionally, we usually utilize the method of shotgun to cut a DNA sequence into pieces and we have to reconstruct the original DNA sequence from the pieces, those are widely used method for DNA assembly. Emerging DNA sequence technologies open up more opportunities for molecular biology. This paper introduce a new method to improve the […]
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Aditya Deshpande, P J Narayanan
In this paper, we present an all-core implementation of Burrows Wheeler Compression algorithm that exploits all computing resources on a system. Our focus is to provide significant benefit to everyday users on common end-to-end applications by exploiting the parallelism of multiple CPU cores and many-core GPU on their machines. The all-core framework is suitable for […]
Thomas Mollenhoff, Evgeny Strekalovskiy, Daniel Cremers
We propose an efficient first order primal-dual method for solving variational problems with nonconvex regularization such as TV^q. It is based on the recent idea in [1] to reformulate an existing primal-dual algorithm for convex optimization using Moreau’s identity. A systematic comparison to recent state of the art algorithms for nonconvex optimization (iteratively reweighted l1 […]
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Bjorn Nutti, Dragan Marinkovic
The paper presents a highly efficient way of simulating the dynamic behavior of deformable objects by means of the finite element method (FEM) with computations performed on Graphics Processing Units (GPU). The presented implementation reduces bottlenecks related to memory accesses by grouping the necessary data per node pairs, in contrast to the classical way done […]
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Gaurav Kocher, Nikita Agrawa
One of the fundamental issues in computer science is ordering a list of items. Although there is a huge number of sorting algorithms, sorting problem has attracted a great deal of research; because efficient sorting is important to optimize the use of other algorithms. Sorting algorithms have been studied extensively since past three decades. Their […]
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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 5.0.35, AMD APP SDK 2.8

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