13363

Applications

Mahmut Murat Gocmen
In recent years clock speeds and memory bandwidths of Graphics Processing Units (GPUs) increased dramatically compared to CPUs. Also GPU vendors developed and freely released new programming tools to make scientific computing on GPUs easier. With these recent developments the use of GPUs for general purpose computing becomes a popular research field. Researchers previously demonstrated […]
Xiao Nie, Leiting Chen, Tao Xiang
We present a parallel framework for simulating incompressible fluids with predictive-corrective incompressible Smoothed Particle Hydrodynamics (PCISPH) on the GPU in real time. To this end, we propose an efficient GPU streaming pipeline to map the entire computational task onto the GPU, fully exploiting the massive computational power of state-of-the-art GPUs. In PCISPH-based simulations, neighbor search […]
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Jelena Tekic, Predrag Tekic, Milos Rackovic
This paper presents performance comparison, of the lid-driven cavity flow simulation, with Lattice Boltzmann method, example, between CUDA and OpenCL parallel programming frameworks. CUDA is parallel programming model developed by NVIDIA for leveraging computing capabilities of their products. OpenCL is an open, royalty free, standard developed by Khronos group for parallel programming of heterogeneous devices […]
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W. P. Gaudin, A. C. Mallinson, O. Perks, J. A. Herdman, D. A. Beckingsale, J. M. Levesque, M. Boulton, S. McIntosh-Smith, S. A. Jarvis
Power constraints are forcing HPC systems to continue to increase hardware concurrency. Efficiently scaling applications on future machines will be essential for improved science and it is recognised that the "flat" MPI model will start to reach its scalability limits. The optimal approach is unknown, necessitating the use of mini-applications to rapidly evaluate new approaches. […]
Dale Nicholas Rattermann
Fast Poisson solvers using the Fast Fourier Transform on uniform grids are especially suited for parallel implementation, making them appropriate for portability on graphical processing unit (GPU) devices. The goal of the following work was to implement, test, and evaluate a fast Poisson solver for periodic boundary conditions for use on a variety of GPU […]
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Amirsaman Farrokhpanah, Hanif Montazeri, Javad Mostaghimi
Capabilities of using Graphic Processing Units (GPU) as a computational tool in CFD have been investigated here. Several solvers for solving linear matrix equations have been benchmarked on GPU and is shown that Gauss-Seidle gives the best performance for the GPU architecture. Compared to CPU on a case of lid-driven cavity flow, speedups of up […]
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Evan E. Schneider, Brant E. Robertson
We present Cholla (Computational Hydrodynamics On ParaLLel Architectures), a new three-dimensional hydrodynamics code that harnesses the power of graphics processing units (GPUs) to accelerate astrophysical simulations. Cholla models the Euler equations on a static mesh using state-of-the-art techniques, including the unsplit Corner Transport Upwind (CTU) algorithm, a variety of exact and approximate Riemann solvers, and […]
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Changsheng Huang, Baochang Shi, Zhaoli Guo, Zhenhua Chai
Conducting lattice Boltzmann method on GPU has been proved to be an effective manner to gain a significant performance benefit, thus the GPU or multi-GPU based lattice Boltzmann method is considered as a promising and competent candidate in the study of large-scale complex fluid flows. In this work, a multi-GPU based lattice Boltzmann algorithm coupled […]
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Stefan Bartels
Navier-Stokes Equations are a mathematical model to describe the behaviour of fluids. They have proven to represent real fluid flows quite well and are base for many fluid simulations. In order to exploit the performance provided by modern many-core systems, fluid simulation algorithms must be able to efficiently solve the Navier-Stokes Equations in parallel. The […]
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Christian Obrecht, Pietro Asinari, Frederic Kuznik, Jean-Jacques Roux
The link-wise artificial compressibility method (LW-ACM) is a recent formulation of the artificial compressibility method for solving the incompressible Navier-Stokes equations. Two implementations of the LW-ACM in three dimensions on CUDA enabled GPUs are described. The first one is a modified version of a state-of-the-art CUDA implementation of the lattice Boltzmann method (LBM), showing that […]
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Lixiang Luo, Jack R. Edwards, Hong Luo, Frank Mueller
General-purpose computing on graphics processing units (GPGPU) is a massive fine-grain parallel computation platform, which is is particularly attractive for CFD tasks due to its potential of one or two magnitudes of performance improvement with relatively low capital investment. Many successful attempts have been reported in recent years (see, for example [1, 2, 3, 4, […]
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Akash Mittal
Simulation of ocean waves can be categorized into two major groups. First one is based on the physical models whereas the other generates the ocean waves based on either geometrical shapes or oceanography spectrums. Even though the later method group requires less computational effort, the waves modelled are less realistic in nature. Currently MARIN (Maritime […]
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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: nVidia GeForce GTX 560 Ti 2GB, 822MHz
  • 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: nVidia CUDA Toolkit 6.5.14, AMD APP SDK 3.0
Node 2
  • GPU device 0: AMD/ATI Radeon HD 7970 3GB, 1000MHz
  • GPU device 1: AMD/ATI Radeon HD 5870 2GB, 850MHz
  • CPU: Intel Core i7-2600 @ 3.4GHz
  • RAM: 16GB
  • OS: OpenSUSE 12.2
  • SDK: AMD APP SDK 2.9

Completed OpenCL project should be uploaded via User dashboard (see instructions and example there), compilation and execution terminal output logs will be provided to the user.

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