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Analysis of GPU-based convolution for acoustic wave propagation modeling with finite differences: Fortran to CUDA-C step-by-step

Makoto Sadahiro

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Tags: Acoustics, CUDA, Finite difference, Fortran, nVidia, Physics, Tesla K20, Thesis

September 13, 2014 by hgpu

Research on double negative materials by using FDTD method based on GPUs

Chen Shen, Xian-liang Wu

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Tags: CUDA, FDTD, Finite difference, Finite-difference time-domain, Materials Science, nVidia, nVidia GeForce GT 440, Physics

September 5, 2014 by hgpu

Solving 3D incompressible Navier-Stokes equations on hybrid CPU/GPU systems

Yushan Wang, Marc Baboulin, Karl Rupp, Oliver Le Maitre, Yann Fraigneau

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Tags: CUDA, Finite difference, Fluid dynamics, Laplace and Poisson equation, Navier-Stokes equations, NSEs, nVidia, Poisson equation, Tesla C2075

September 4, 2014 by hgpu

Algorithms for Solving Non-Stationary Heat Conduction Problem for Design of a Technical Device

Alexander Ayriyan, Jan Busa Jr., Eugeny E. Donets, Hovik Grigorian, Jan Pribis

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Tags: Algorithms, Computational Physics, Differential equations, Finite difference, nVidia, nVidia GeForce GTX 470, OpenCL, Partial differential equations, PDEs, Physics

August 27, 2014 by hgpu

Improved Finite Difference Schemes for a 3-D Viscothermal Wave Equation on a GPU

Brian Hamilton, Stefan Bilbao, Craig J. Webb

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Tags: Acoustics, CUDA, Finite difference, Navier-Stokes equations, NSEs, nVidia, Physics, Tesla K20, Wave equation

July 28, 2014 by hgpu

Solving the Caputo Fractional Reaction-Diffusion Equation on GPU

Jie Liu, Chunye Gong, Weimin Bao, Guojian Tang, Yuewen Jiang

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Tags: CUDA, Diffusion equation, Finite difference, nVidia, nVidia Quadro FX 5800, Physics

June 22, 2014 by hgpu

Research on GPU-accelerated algorithm in 3D finite difference neutron diffusion calculation method

Qi Xu, Gang-Lin Yu, Kan Wang, Jia-Long Sun

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Tags: CUDA, Diffusion equation, Finite difference, Nuclear physics, nVidia, nVidia GeForce GTX Titan, Physics

May 14, 2014 by hgpu

Efficient Energyminimization in Finite-Difference Micromagnetics: Speeding up Hysteresis Computations

Claas Abert, Gregor Wautischer, Florian Bruckner, Armin Satz, Dieter Suess

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Tags: Computational Physics, CUDA, Electrodynamics, Finite difference, nVidia, Package, Physics, Python

May 14, 2014 by hgpu

Bio-Inspired Optimization of Ultra-Wideband Patch Antennas Using Graphics Processing Unit Acceleration

Brian Vyhnalek

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Tags: Artificial intelligence, ATI, ATI Radeon HD 6450, Computer science, Electrodynamics, FDTD, Finite difference, Finite-difference time-domain, OpenCL, Particle swarm optimization, Thesis

May 7, 2014 by hgpu

Multi-GPU cluster wave propagation and OpenGL visualization

Jacob Lundgren, Nils Olofsson

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Tags: Computer science, CUDA, Finite difference, GPU cluster, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 670, OpenGL, Visualization

March 15, 2014 by hgpu

OCCA: A unified approach to multi-threading languages

David S Medina, Amik St-Cyr, T. Warburton

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Tags: ATI, ATI Radeon HD 7970, ATI Radeon HD 7990, Computer science, CUDA, Finite difference, nVidia, nVidia GeForce GTX Titan, OpenCL, Spectral elements

March 6, 2014 by hgpu

Optimizing Performance of Stencil Code with SPL Conqueror

Alexander Grebhahn, Norbert Siegmund, Sven Apel, Sebastian Kuckuk, Christian Schmitt, Harald Kostler

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Tags: Computer science, CUDA, Differential equations, Finite difference, Image processing, nVidia, OpenCL, Package, Partial differential equations, PDEs, Tesla K20

February 17, 2014 by hgpu

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

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Analysis of GPU-based convolution for acoustic wave propagation modeling with finite differences: Fortran to CUDA-C step-by-step

Research on double negative materials by using FDTD method based on GPUs

Solving 3D incompressible Navier-Stokes equations on hybrid CPU/GPU systems

Algorithms for Solving Non-Stationary Heat Conduction Problem for Design of a Technical Device

Improved Finite Difference Schemes for a 3-D Viscothermal Wave Equation on a GPU

Solving the Caputo Fractional Reaction-Diffusion Equation on GPU

Research on GPU-accelerated algorithm in 3D finite difference neutron diffusion calculation method

Efficient Energyminimization in Finite-Difference Micromagnetics: Speeding up Hysteresis Computations

Bio-Inspired Optimization of Ultra-Wideband Patch Antennas Using Graphics Processing Unit Acceleration

Multi-GPU cluster wave propagation and OpenGL visualization

OCCA: A unified approach to multi-threading languages

Optimizing Performance of Stencil Code with SPL Conqueror

Recent source codes

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

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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