high performance computing on graphics processing units: hgpu.org

hgpu.org » Fluid dynamics

Simulation of pollutant transport in shallow water on a CUDA architecture

M. Vinas, J. Lobeiras, B.B. Fraguela, M. Arenaz, M. Amor, R. Doallo

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Tags: CUDA, Earth and Space Sciences, Finite volume method, Fluid dynamics, nVidia, nVidia GeForce GTX 295, Tesla S2050

December 6, 2011 by hgpu

Performance engineering for the Lattice Boltzmann method on GPGPUs: Architectural requirements and performance results

Johannes Habich, Christian Feichtinger, Harald Kostler, Georg Hager, Gerhard Wellein

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Tags: Algorithms, ATI, ATI Radeon HD 6970, CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia GeForce 8800 GTX, OpenCL, Optimization, Performance, Tesla C1060, Tesla C2070

December 6, 2011 by hgpu

Implementing CFD (Computational Fluid Dynamics) in OpenCL for Building Simulation

Yue Wang, Ali Malkawi, Yun Yi

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Tags: Fluid dynamics, nVidia, nVidia GeForce 9400 M, nVidia GeForce 9800 GTX, OpenCL, Package

December 4, 2011 by hgpu

Evaluation iterative solver for pCDR on GPU accelerator

Chih-Wei Hsieh, Sheng-Hsiu Kuo, Chau-Yi Chou

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Tags: CUDA, Fluid dynamics, nVidia, Poisson equation, Tesla C1060

December 1, 2011 by hgpu

GPU Accelerated Dissipative Particle Dynamics with Parallel Cell-list Updating

Hao Wu, Junbo Xu, Shengfei Zhang, Hao Wen

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Tags: Algorithms, Benchmarking, Chemistry, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 285, Optimization

November 30, 2011 by hgpu

GPU-Accelerated SPH Model for Water Waves and Other Free Surface Flows

Robert Anthony Dalrymple, Alexis Herault, Giuseppe Bilotta, Rozita Jalali Farahani

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Tags: CUDA, Fluid dynamics, nVidia, OpenGL, Package, Visualization

November 30, 2011 by hgpu

Multiresolution Flow Simulations on Multi/many-core Architectures

Diego Rossinelli

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Tags: Algorithms, Computational Complexity, CUDA, Differential equations, Fluid dynamics, Heterogeneous systems, nVidia, Partial differential equations, PDEs, Tesla S1070, Tesla T10, Thesis, Wavelet

November 29, 2011 by hgpu

Overlapping Computation and Communication for Advection on Hybrid Parallel Computers

James B White III (Trey), Jack Dongarra

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Tags: CUDA, Fluid dynamics, Fortran, GPU cluster, Hybrid computing, MPI, nVidia, OpenMP, OpenMPI, Presentation, Tesla C1060, Tesla C2050

November 27, 2011 by hgpu

Design of 3D FFT on Multi-GPU Clusters

Arpan Maheshwari

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Tags: CUDA, FFT, Fluid dynamics, GPU cluster, nVidia, Spectral methods, Tesla T10, Thesis

November 25, 2011 by hgpu

An Explicit Algorithm for Porous Media Flow Simulation using GPUs

D.N. Morozov, B.N. Chetverushkin, N.G. Churbanova, M.A. Trapeznikova

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Tags: Algorithms, CUDA, Finite difference, Fluid dynamics, GPU cluster, nVidia, nVidia GeForce GTX 295, Package

November 24, 2011 by hgpu

Anisotropic mesh coarsening and refinement on GPU architecture

Matthew Potter

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Tags: Algorithms, CUDA, Differential equations, Finite volume method, Fluid dynamics, nVidia, Partial differential equations, PDEs, Tesla M2050, Thesis

November 19, 2011 by hgpu

Predictive Modeling and Analysis of OP2 on Distributed Memory GPU Clusters

G.R. Mudalige, M.B. Giles, C. Bertolli, P.H.J Kelly

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Tags: Benchmarking, Computer science, CUDA, Fluid dynamics, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce GTX 560 Ti, Performance, Tesla C2070

November 19, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

See all packages

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high performance computing on graphics processing units: hgpu.org

Simulation of pollutant transport in shallow water on a CUDA architecture

Performance engineering for the Lattice Boltzmann method on GPGPUs: Architectural requirements and performance results

Implementing CFD (Computational Fluid Dynamics) in OpenCL for Building Simulation

Evaluation iterative solver for pCDR on GPU accelerator

GPU Accelerated Dissipative Particle Dynamics with Parallel Cell-list Updating

GPU-Accelerated SPH Model for Water Waves and Other Free Surface Flows

Multiresolution Flow Simulations on Multi/many-core Architectures

Overlapping Computation and Communication for Advection on Hybrid Parallel Computers

Design of 3D FFT on Multi-GPU Clusters

An Explicit Algorithm for Porous Media Flow Simulation using GPUs

Anisotropic mesh coarsening and refinement on GPU architecture

Predictive Modeling and Analysis of OP2 on Distributed Memory GPU Clusters

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

Most viewed papers (last 30 days)