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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V. Guerra, C. Quintana, J. Rufo, J. Rabadan, R. Perez-Jimenez
In this paper, an algorithm to calculate the underwater wireless optical impulse response is presented. It is based on a modified Monte Carlo Ray Tracing algorithm and takes into account the most significant phenomena of the underwater channel. In order to reduce the simulation time, two parallelization schemes are proposed, one based on a multiprocessor […]
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Neelima Gogineni, C Ganga Bhavani, V S Giridhar Akula
Image recognition and segmentation techniques are playing key role in the field of image processing. Present researchers are working on the design concepts of accurate image processing. This paper explains the method for designing of accurate image processing with the help of the principle called automatic construction of tree structural image transformation and graphics processing […]
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Ajith Padyana, Devi Sudheer, Pallav Kumar Baruah, Ashok Srinivasan
Compute-intensive tasks in high-end high performance computing (HPC) systems often generate large amounts of data, especially floating-point data, that need to be transmitted over the network. Although computation speeds are very high, the overall performance of these applications is affected by the data transfer overhead. Moreover, as data sets are growing in size rapidly, bandwidth […]
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Michael Anderson, Forrest Iandola, Kurt Keutzer
In this report, we analyze the computational and performance aspects of current state-of-the-art object recognition and optical flow algorithms. First, we identify important algorithms for object recognition and optical flow, then we perform a pattern decomposition to identify key computations. We include profiles of the runtime and energy efficiency (GFLOPS/W) for our implementation of these […]
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T.A. Mahmoud Fayez
This work is an overview of a preliminary experience in developing high-performance face detection accelerated by GPU co-processors. The objective is to illustrate the advantages and difficulties encountered while utilizing the GPU technology to perform face detection. Moreover the introduced implementation is a much faster than currently existing techniques. Previous techniques for speeding up face […]
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Keisuke Dohi
Since the invention of electronic computers, their performance has been constantly advanced. The recent progress of micro processors in performance has been mainly achieved by increasing the number of cores on a device, instead of increasing working frequency. In addition, because of increasing of density of semiconductors, not only computational performance but also density of […]
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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: 12GB
  • OS: OpenSUSE 11.4
  • SDK: AMD APP SDK 2.8
Node 2
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  • CPU: Intel Core i7-2600 @ 3.4GHz
  • RAM: 16GB
  • OS: OpenSUSE 12.2
  • SDK: nVidia CUDA Toolkit 5.0.35, AMD APP SDK 2.8

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