Oct, 27

Bayesian Neural Networks in Data-Intensive High Energy Physics Applications

This dissertation studies a graphical processing unit (GPU) construction of Bayesian neural networks (BNNs) using large training data sets. The goal is to create a program for the mapping of phenomenological Minimal Supersymmetric Standard Model (pMSSM) parameters to their predictions. This would allow for a more robust method of studying the Minimal Supersymmetric Standard Model, […]
Oct, 27

Finding Longest Common Subsequences by GPU-Based Parallel Ant Colony Optimization

The longest common subsequence (LCS) problem is one of the classic problems in string processing. It is commonly used in file comparison, pattern recognition, and computational biology as a measure of sequence similarity. Given a set of strings, the LCS is the longest string that is a subsequence of every string in the set. For […]
Oct, 27

Contract-Based General-Purpose GPU Programming

Using GPUs as general-purpose processors has revolutionized parallel computing by offering, for a large and growing set of algorithms, massive data-parallelization on desktop machines. As an obstacle to widespread adoption, programming GPUs has remained difficult due to the need of using low-level control of the hardware to achieve good performance. This paper suggests a programming […]
Oct, 25

GPGPU Acceleration for Skeletal Animation-comparing OpenCL with CUDA and GLSL

The existing matrix palette algorithms for skeletal animation are accelerated by the technique GPGPU based on GLSL or CUDA. Because GLSL is extended from graphics library OpenGL, it couples the rendering and calculations together closely and forces itself not convenient to reuse, meanwhile CUDA is designed only for NVIDIA GPUs. In this paper GPGPU based […]
Oct, 25

Evacuation Route Modeling and Planning with General Purpose GPU Computing

This work introduces a bilevel, stochastic optimization problem aimed at robust, regional evacuation network design and shelter location under uncertain hazards. A regional planner, acting as a Stackelberg leader, chooses among evacuation-route contraflow operation and shelter location to minimize the expected risk exposure to evacuees. Evacuees then seek an equilibrium with respect to risk exposure […]
Oct, 25

On the Efficiency of CPU and Hybrid CPU-GPU Systems in Computational Biology Tasks

The complexity and diversity of the computational biology tasks requires a deliberate approach to the computational resource management. We have analyzed the performance of the common CPU and hybrid CPU-GPU hardware configurations in molecular dynamics and homology modeling tasks. Our results show that on dual-processor nodes it is in overall more efficient to execute two […]
Oct, 25

Medical imaging using CUDA

As multiple sclerosis is known to cause atrophy and deformation in the brain, it also influences the shape and size of the corpus callosum. Longitudinal studies try to quantify these changes using medical image analysis techniques for measuring and analyzing the shape and size of a corpus callosum cross-sechtion embedded in a specially selected measurement […]
Oct, 25

CUVLE: Variable-Length Encoding on CUDA

Data compression is the process of representing information in a compact form, in order to reduce the storage requirements and, hence, communication bandwidth. It has been one of the critical enabling technologies for the ongoing digital multimedia revolution for decades. In the variable-length encoding (VLE) compression method, most frequently occurring symbols are replaced by codes […]
Oct, 25

5th International Conference on Computer Communication and Management, ICCCM 2015

Submission Deadline: 2015-03-01 Publication: Conference papers can be selected and published into International Journal of Computer and Communication Engineering (IJCCE) or Journal of Advanced Management Science(JOAMS) excellent papers will be select to be published in International Journal of e-Education, e-Business, e-Management and e-Learning(IJEEEE) Topic: A. Computing • Parallel and Distributing Computing • High-Performance Computing • […]
Oct, 25

4th International Conference on Industrial and Intelligent Information, ICIII 2015

Submission Deadline: 2015-03-01 Publication: All accepted papers of ICIII 2015 will be published in the following journals with ISSN: * Journal of Industrial and Intelligent Information (ISSN:2301-3745, DOI: 10.12720/jiii), and will be indexed by Ulrich’s Periodicals Directory, Google Scholar(http://scholar.google.com/), EBSCO, Engineering & Technology Digital Library (http://www.etlibrary.org/) and Electronic Journals Library Topic: Track 1. Neural networks […]
Oct, 25

4th International Conference on System Engineering and Modeling, ICSEM 2015

Submission Deadline: 2015-03-01 Publication: Submitted papers can be selected and published into one of the following Journals: *International Journal of Computer and Communication Engineering (IJCCE) (ISSN:2010-3743) Abstracting/ Indexing: EI (INSPEC, IET), Google Scholar, Engineering & Technology Digital Library, ProQuest, and Crossref, Electronic Journals Library *International Journal of Modeling and Optimization (IJMO) Abstracting/ Indexing: Engineering & […]
Oct, 24

cufftShift: High Performance CUDA-accelerated FFT-shift Library

For embarrassingly parallel algorithms, a Graphics Processing Unit (GPU) outperforms a traditional CPU on price-per-flop and price-per-watt by at least one order of magnitude. This had led to the mapping of signal and image processing algorithms, and consequently their applications, to run entirely on GPUs. This paper presents CUFFTSHIFT, a ready-to-use GPU-accelerated library, that implements […]
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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
  • GPU device 0: AMD/ATI Radeon HD 5870 2GB, 850MHz
  • GPU device 1: AMD/ATI Radeon HD 6970 2GB, 880MHz
  • CPU: AMD Phenom II X6 @ 2.8GHz 1055T
  • RAM: 12GB
  • OS: OpenSUSE 13.1
  • SDK: AMD APP SDK 2.9
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 6.0.1, AMD APP SDK 2.9

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