high performance computing on graphics processing units: hgpu.org

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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

Experience Applying Fortran GPU Compilers to Numerical Weather Prediction

T. Henderson, J. Middlecoff, J. Rosinski, M. Govett, P. Madden

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Tags: CUDA, Earth and Space Sciences, Fortran, nVidia, nVidia GeForce GTX 280, Tesla C2050, Weather prediction

October 18, 2011 by hgpu

Scaling-up spatially-explicit ecological models using graphics processors

Johan van de Koppel, Rohit Gupta, Cornelis Vuik

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Tags: CUDA, Earth and Space Sciences, Ecology, nVidia, Tesla C1060

October 16, 2011 by hgpu

Accelerating a climate physics model with OpenCL

Fahad Zafar, Dibyajyoti Ghosh, Lawrence Sebald, Shujia Zhou

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Tags: Earth and Space Sciences, Heterogeneous systems, OpenCL, Physics, Presentation

October 6, 2011 by hgpu

GPU accelerated 2-D staggered-grid finite difference seismic modelling

Zhangang Wang, Suping Peng, Tao Liu

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Tags: Cg, Earth and Space Sciences, Finite difference, nVidia, nVidia GeForce 9800 GT, OpenGL, Seismic modeling, Seismology

October 5, 2011 by hgpu

Hardware/Software Co-design for Energy-Efficient Seismic Modeling

Jens Krueger, David Donofrio, John Shalf, Marghoob Mohiyuddin, Samuel Williams, Leonid Oliker, Franz-Josef Pfreundt

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Tags: CUDA, Earth and Space Sciences, FPGA, nVidia, PC cluster, Seismic modeling, Seismology, Tesla C2050, Wave equation

October 2, 2011 by hgpu

Accelerating Geospatial Analysis on GPUs using CUDA

Ying-jie Xia, Li Kuang, Xiu-mei Li

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Tags: Algorithms, CUDA, Earth and Space Sciences, Geoscience, nVidia, nVidia Quadro FX 5600

September 30, 2011 by hgpu

GPU Accelerated Computation of the ICON Model

Christian Conti, William Sawyer

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Tags: ATI, ATI Radeon HD 6990, Earth and Space Sciences, nVidia, nVidia GeForce GTX 285, OpenCL, Tesla M2050, Tesla S1070, Weather prediction

September 27, 2011 by hgpu

Exploiting Heterogeneous Computing Platforms By Cataloging Best Solutions For Resource Intensive Seismic Applications

Thomas Grosser, Alexandros Gremm, Sebastian Veith, Gerald Heim, Wolfgang Rosenstiel, Victor Medeiros, Manoel Eusebio de Lima

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Tags: Earth and Space Sciences, FPGA, Geoscience, Heterogeneous systems, nVidia, OpenCL, Optimization, Seismic modeling, Seismology, Tesla T10P

September 25, 2011 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

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

Experience Applying Fortran GPU Compilers to Numerical Weather Prediction

Scaling-up spatially-explicit ecological models using graphics processors

Accelerating a climate physics model with OpenCL

GPU accelerated 2-D staggered-grid finite difference seismic modelling

Hardware/Software Co-design for Energy-Efficient Seismic Modeling

Accelerating Geospatial Analysis on GPUs using CUDA

GPU Accelerated Computation of the ICON Model

Exploiting Heterogeneous Computing Platforms By Cataloging Best Solutions For Resource Intensive Seismic Applications

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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