high performance computing on graphics processing units: hgpu.org

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Simulation of one-layer shallow water systems on multicore and CUDA architectures

Marc de la Asuncion, Jose Mantas, Manuel Castro

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Tags: CUDA, Earth and Space Sciences, Geoscience, nVidia, OpenMP

November 20, 2010 by hgpu

Modeling the propagation of elastic waves using spectral elements on a cluster of 192 GPUs

Dimitri Komatitsch, Dominik Goddeke, Gordon Erlebacher, David Michea

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Tags: CUDA, Earth and Space Sciences, Geoscience, GPU cluster, MPI, nVidia, Tesla C1070

November 18, 2010 by hgpu

Accelerating POCS interpolation of 3D irregular seismic data with Graphics Processing Units

Shu-Qin Wang, Xing Gao, Zhen-Xing Yao

Tags: Earth and Space Sciences, FFT, Geoscience

November 18, 2010 by hgpu

Development of a GPU-based High-Performance Radiative Transfer Model for the Infrared Atmospheric Sounding Interferometer (IASI)

Bormin Huang, Jarno Mielikainen, Hyunjong Oh, Hung-Lung A. Huang

Tags: CUDA, Earth and Space Sciences, nVidia

November 16, 2010 by hgpu

Air pollution modelling using a graphics processing unit with CUDA

Ferenc Molnar Jr., Tamas Szakaly, Robert Meszaros, Istvan Lagzi

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Tags: Computational Physics, CUDA, Earth and Space Sciences, Medical Physics, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 8800 GTX, Package, Physics

November 13, 2010 by hgpu

Running the NIM Next-Generation Weather Model on GPUs

Mark W. Govett, Jacques Middlecoff, Tom Henderson

Tags: CUDA, Earth and Space Sciences, nVidia, Weather Prediction Model

November 9, 2010 by hgpu

GPU Computing for Atmospheric Modeling

Rory Kelly

Tags: CUDA, Earth and Space Sciences, nVidia

November 6, 2010 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

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high performance computing on graphics processing units: hgpu.org

Simulation of one-layer shallow water systems on multicore and CUDA architectures

Modeling the propagation of elastic waves using spectral elements on a cluster of 192 GPUs

Accelerating POCS interpolation of 3D irregular seismic data with Graphics Processing Units

Development of a GPU-based High-Performance Radiative Transfer Model for the Infrared Atmospheric Sounding Interferometer (IASI)

Air pollution modelling using a graphics processing unit with CUDA

Running the NIM Next-Generation Weather Model on GPUs

GPU Computing for Atmospheric Modeling

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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