high performance computing on graphics processing units: hgpu.org

Thales Luis Rodrigues Sabino, Marcelo Zamith, Diego Brandao, Anselmo Montenegro, Esteban Clua, Maurcio Kischinhevksy, Regina C.P. Leal-Toledo, Otton T. Silveira Filho, Andre Bulcao

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Tags: Acoustics, CUDA, Earth and Space Sciences, Finite difference, nVidia, Tesla C1060

November 24, 2011 by hgpu

Spatial interpolation in massively parallel computing environments

Katharina Hennebohl, Marius Appel, Edzer Pebesma

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Tags: Algorithms, CUDA, Earth and Space Sciences, nVidia, nVidia Quadro FX 4800

November 20, 2011 by hgpu

Seismic Wave Propagation Simulation Using Accelerated Support Operator Rupture Dynamics on Multi-GPU

Yichen Zhou, Shenyi Song, Tingxing Dong, David A. Yuen

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Tags: CUDA, Earth and Space Sciences, Finite difference, Fortran, Geoscience, MPI, nVidia, Seismic modeling, Tesla C1060

November 14, 2011 by hgpu

Implementation of a multigrid solver on GPU for Stokes equations with strongly variable viscosity based on Matlab and CUDA

Liang Zheng, Taras Gerya, Matthew Knepley, David A. Yuen, Huai Zhang, Yaolin Shi

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Tags: CUDA, Differential equations, Earth and Space Sciences, Numerical simulation, nVidia, Partial differential equations, PDEs, Tesla C2070

November 5, 2011 by hgpu

A case study on porting scientific applications to GPU/CUDA

Javier Delgado, Joao Gazolla, Esteban Clua, S. Masoud Sadjadi

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Tags: Computer science, CUDA, Earth and Space Sciences, Fortran, nVidia, nVidia GeForce 9300 M, nVidia GeForce 9400 M, Tesla S1070, Weather prediction

October 26, 2011 by hgpu

ASAMgpu V1.0-a moist fully compressible atmospheric model using graphics processing units (GPUs)

S. Horn

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Tags: Algorithms, Earth and Space Sciences, Geoscience, GLSL, OpenGL, Weather prediction

October 24, 2011 by hgpu

Parallelization of the distinct lattice spring model

Gao-Feng Zhao, Jiannong Fang, Liang Sun, Jian Zhao

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Tags: Algorithms, Earth and Space Sciences, Geoscience, MPI, OpenMP, PC cluster

October 22, 2011 by hgpu

FAMOUS, faster: using parallel computing techniques to accelerate the FAMOUS/HadCM3 climate model with a focus on the radiative transfer algorithm

P. Hanappe, A. Beurive, F. Laguzet, L. Steels, N. Bellouin, O. Boucher, Y. H. Yamazaki, T. Aina, M. Allen

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Tags: Algorithms, Cell processor, Earth and Space Sciences, Fortran, nVidia, nVidia GeForce GT 330 M, OpenCL, Weather prediction, Weather Prediction Model

October 20, 2011 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Support Operator Rupture Dynamics on GPU

Scaling Results for a Discontinuous Galerkin Finite-Element Wave Solver on Multi-GPU Systems

Seismic Wave Propagation Simulation Using Support Operator Method on multi-GPU system

High Rayleigh Number Mantle Convection on GPU

Scalable Simulation of 3D Wave Propagation in Semi-Infinite Domains Using the Finite Difference Method on a GPU Based Cluster

Spatial interpolation in massively parallel computing environments

Seismic Wave Propagation Simulation Using Accelerated Support Operator Rupture Dynamics on Multi-GPU

Implementation of a multigrid solver on GPU for Stokes equations with strongly variable viscosity based on Matlab and CUDA

A case study on porting scientific applications to GPU/CUDA

ASAMgpu V1.0-a moist fully compressible atmospheric model using graphics processing units (GPUs)

Parallelization of the distinct lattice spring model

FAMOUS, faster: using parallel computing techniques to accelerate the FAMOUS/HadCM3 climate model with a focus on the radiative transfer algorithm

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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