Nathalie Kaligirwa, Eleazar Leal, Le Gruenwald, Jianting Zhang, Simin You
Global remote sensing and large-scale environment modeling have generated vast amounts of raster geospatial images. To gain a better understanding of this data, researchers are interested in performing spatial queries over them, and the computation of those queries’ results is greatly facilitated by the existence of spatial indices. Additionally, though there have been major advances […]
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Weibin Sun
As the base of the software stack, system-level software is expected to provide efficient and scalable storage, communication, security and resource management functionalities. However, there are many computationally expensive functionalities at the system level, such as encryption, packet inspection, and error correction. All of these require substantial computing power. What’s more, today’s application workloads have […]
Saad Quader
The problem of computing the Betweenness Centrality (BC) is important in analyzing graphs in many practical applications like social networks, biological networks, transportation networks, electrical circuits, etc. Since this problem is computation intensive, researchers have been developing algorithms using high performance computing resources like supercomputers, clusters, and Graphics Processing Units (GPUs). Current GPU algorithms for […]
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Sreeram Potluri
Accelerators (such as NVIDIA GPUs) and coprocessors (such as Intel MIC/Xeon Phi) are fueling the growth of next-generation ultra-scale systems that have high compute density and high performance per watt. However, these many-core architectures cause systems to be heterogeneous by introducing multiple levels of parallelism and varying computation/communication costs at each level. Application developers also […]
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Bernd Steinbach, Matthias Werner
The Boolean domain faces us with the exponential complexity of Boolean functions and the technological progress in micro- and nano-electronics allows increasing numbers of Boolean variables. This requires very powerful Boolean computations. The progress in the performance of Graphics Processing Units (GPUs) and the possibility to utilize the GPU to solve tasks of many application […]
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Romain Dolbeau
This paper describes & evaluates a fast, hybrid implementation of the Advanced Encryption Standard with 256 bit keys (AES-256) block encryption in Galois/Counter Mode (GCM). The implementation is bit-compatible with the implemented standard in both the OpenSSL and Crypto++ libraries, while significantly (up to three times) faster for large amount of data. In this implementation, […]
Cedric Nugteren, Gert-Jan van den Braak, Henk Corporaal
Programming models such as CUDA and OpenCL allow the programmer to specify the independence of threads, effectively removing ordering constraints. Still, parallel architectures such as the graphics processing unit (GPU) do not exploit the potential of data-locality enabled by this independence. Therefore, programmers are required to manually perform data-locality optimisations such as memory coalescing or […]
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Rengan Xu, Xiaonan Tian, Sunita Chandrasekaran, Yonghong Yan, Barbara Chapman
The broad adoption of accelerators boosts the interest in accelerator programming. Accelerators such as GPGPUs are optimized for throughput and offer high GFLOPS and memory bandwidth. CUDA has been adopted quite rapidly but it is proprietary and only applicable to GPUs, and the difficulty in writing efficient CUDA code has kindled the necessity to create […]
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Lidia Kuan, Joao Neves, Frederico Pratas, Pedro Tomas, Leonel Sousa
Phylogenetic inference is used to derive a "tree of life" for a collection of species whose DNA sequences are known. While several software packages have already been developed to take advantage of GPUs to accelerate phylogenetic inference, they typically require significant changes to the original code, constraining code maintenance. Recently, the OpenACC API was proposed […]
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Jukka Saarelma, Lauri Savioja
Wave based simulation methods have been utilized to numerically estimate wave propagation in domains where low-frequency wave effects dominate the response. Finite-difference time-domain (FDTD) methods are increasingly useful for such problems, but they require massive spatial oversampling to increase the bandwidth of the simulation, which leads to significant computational expense. The advantage of explicit time-stepping […]
Zhaohua Liu, Yuxia Yang
This paper extended semi-global matching algorithm into multi baseline matching to improve matching reliability, especially studies kernel function optimization strategies and GPU threads’ executing scheme of matching cost cube computing and aggregating, and realized its fine granularity parallel processing based on GPU. The experiment results using three UCD aerial images based on Tesla C2050 GPU […]
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Aruna Dore, Sunitha Lasrado
GPU (Graphic processing system) enhance the performance of the performance of the computing field due to its hundreds of cores in parallel. CUDA (Compute Unified Device Architecture) and OpenCL (Open Computing Language) programming models are included in GPU. The advantage of these two programming models in GPU is that developers don’t have to understand any […]
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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 13.1
  • SDK: AMD APP SDK 2.9
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  • RAM: 16GB
  • OS: OpenSUSE 12.2
  • SDK: nVidia CUDA Toolkit 6.0.1, AMD APP SDK 2.9

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