S. Rit, M. Vila Oliva, S. Brousmiche, R. Labarbe, D. Sarrut, G. C. Sharp
We propose the Reconstruction Toolkit (RTK, http://www.openrtk.org), an open-source toolkit for fast cone-beam CT reconstruction, based on the Insight Toolkit (ITK) and using GPU code extracted from Plastimatch. RTK is developed by an open consortium (see affiliations) under the non-contaminating Apache 2.0 license. The quality of the platform is daily checked with regression tests in […]
Valentin Mena Morales, Pierre-Henri Horrein, Amer Baghdadi, Erik Hochapfel, Sandrine Vaton
Energy efficiency of financial computations is a performance criterion that can no longer be dismissed, and is as crucial as raw acceleration and accuracy of the solution. In order to reduce the energy consumption of financial accelerators, FPGAs offer a good compromise with low power consumption and high parallelism. However, designing and prototyping an application […]
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Sangho Lee, Youngsok Kim, Jangwoo Kim, Jong Kim
Graphics processing units (GPUs) are important components of modern computing devices for not only graphics rendering, but also efficient parallel computations. However, their security problems are ignored despite their importance and popularity. In this paper, we first perform an in-depth security analysis on GPUs to detect security vulnerabilities. We observe that contemporary, widely-used GPUs, both […]
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Gaurav Budjade
Nowadays, the advancements in internet technology are increasing by leaps and bounds. This has lead to the increase in threats by attackers, consequently compromising system security. Intrusion detection systems (IDS) provide an intelligent way to provide capable system security. Traditionally, IDS’s have been designed using several statistical based methods such as classification algorithms or artificial […]
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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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Simon McIntosh-Smith, James Price, Richard B Sessions, Amaurys A Ibarra
Drug screening is an important part of the drug development pipeline for the pharmaceutical industry. Traditional, lab-based methods are increasingly being augmented with computational methods, ranging from simple molecular similarity searches through more complex pharmacophore matching to more computationally intensive approaches, such as molecular docking. The latter simulates the binding of drug molecules to their […]
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Coleman Kendrick
The purpose of this project is to develop a computer model to investigate the formation and life cycle of classical novae. A nova is an orbiting system consisting of a white dwarf and star. Over time, the white dwarf pulls hydrogen gas from the star which gathers onto the surface of the white dwarf (the […]
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Li Tian, Cai Meng, Fugen Zhou
This paper addresses the problem that multiple DSP system doesn’t support OpenCL programming. With the compiler, runtime and the kernel scheduler proposed, an OpenCL application becomes portable not only between multiple CPU and GPU, but also between embedded multiple DSP systems. Firstly, the LLVM compiler was imported for source-to-source translation in which the translated source […]
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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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V. Jithesh, K.P. Jacob
We consider the performance acceleration of the conventional Time Domain Backprojection and Kirchhoff Migration algorithms for imaging concealed targets. The Compute Unified Device Architecture (CUDA) and Open Computing Language (OpenCL) are used here for accelerating these algorithms on Graphics Processing Units (GPUs). Data generated by means of analytical methods, simulation and experiment are used for […]
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A.A. Elnaggar, M. Gadallah, M.A. Aziem , H. El-Deeb
Parallel performance for GPUs today surpasses the traditional multi-core CPUs. Currently, many AI algorithms started to be tested on GPUs rather than CPUs, especially after the release of libraries such as Cuda and OpenCL that allows the implementation of general algorithms on the GPU. One of the most famous game tree search algorithms is Negamax, […]
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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.

The platforms are

Node 1
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  • GPU device 1: AMD/ATI Radeon HD 6970 2GB, 880MHz
  • CPU: AMD Phenom II X6 @ 2.8GHz 1055T
  • RAM: 12GB
  • OS: OpenSUSE 11.4
  • SDK: AMD APP SDK 2.8
Node 2
  • GPU device 0: AMD/ATI Radeon HD 7970 3GB, 1000MHz
  • GPU device 1: nVidia GeForce GTX 560 Ti 2GB, 822MHz
  • 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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