high performance computing on graphics processing units: hgpu.org

hgpu.org » Earth and Space Sciences

Modeling the spatio-temporal evolution of fracture networks and fluid-rock interactions in GPU: Applications to lithospheric geodynamics

Boris Galvan

View

Tags: CUDA, Diffusion equation, Earth and Space Sciences, Finite difference, Geoscience, nVidia, nVidia GeForce GTX 590, Thesis

April 25, 2013 by hgpu

Acceleration of Tsunami Wave Propagation Modeling based on Re-engineering of Computational Components

Alexander Vazhenin, Mikhail Lavrentiev, Alexey Romanenko, Andrey Marchuk

View

Download (PDF)

Tags: Cell processor, CUDA, Earth and Space Sciences, nVidia, Tesla C2050

April 13, 2013 by hgpu

Urban Regional Seismic Damage Prediction Based On GPU-CPU Hybrid Computing

B. Han, X.Z. Lu, Z. Xu

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, Hybrid computing, nVidia, Seismic modeling

February 15, 2013 by hgpu

Exploiting Multiple Levels of Parallelism and Online Refinement of Unstructured Meshes in Atmospheric Model Application

Claudio Schepke

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, MPI, nVidia, nVidia GeForce GTX 480, Tesla S1070, Thesis, Weather prediction

February 12, 2013 by hgpu

Seismic Attributes Extraction Based on GPU

Zhang Guang-Zhi, Chen Lei, Ye Duan-Nan

View

Download (PDF)

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

February 12, 2013 by hgpu

Application of GPU Smooth Particle Hydrodynamics: Wave Runup and Overtopping on Composite Slopes

Billy L. Edge, Margery F. Overton, Robert A. Dalrymple, Alexis Herault, Giuseppe Bilotta, M. Onur Kurum, Kevin Gamiel

View

Download (PDF)

Source codes

Tags: CUDA, Earth and Space Sciences, Fluid dynamics, nVidia, Package

January 17, 2013 by hgpu

Vision based Navigation (VBN) of Unmanned Aerial Vehicles (UAV)

Bassem Ibrahim Sheta

View

Download (PDF)

Tags: Algorithms, CUDA, Earth and Space Sciences, Image processing, nVidia, nVidia GeForce GT 540 M, Thesis

December 30, 2012 by hgpu

GPU-accelerated MRF segmentation algorithm for SAR images

Haigang Sui, Feifei Peng, Chuan Xu, Kaimin Sun, Jianya Gong

View

Download (PDF)

Tags: Algorithms, CUDA, Earth and Space Sciences, Geoscience, nVidia, nVidia GeForce 9800 GT

December 29, 2012 by hgpu

Advanced Techniques for the Rendering and Visualization of Volumetric Seismic Data

Martin Panknin

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, nVidia, Rendering, Thesis, Visualization

December 15, 2012 by hgpu

GPGPU-Aided 3D Staggered-grid Finite-difference Seismic Wave Modeling

Chang Cai, Haiqing Chen, Ze Deng, Dan Chen, Samee U. Khan, Ke Zeng, Minxiao Wu

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, Finite difference, nVidia, nVidia GeForce GTX 680, Seismic modeling, Seismology

December 8, 2012 by hgpu

GPU-based Space Situational Awareness Simulation utilising parallelism for enhanced multi-sensor management

Tyler A. Hobson, I. Vaughan L. Clarkson

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, nVidia

December 3, 2012 by hgpu

Modern GPGPU Frameworks and their Application to the Physical Core of the ASUCA Weather Prediction Model

Michel Muller

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, Fortran, nVidia, OpenACC, Tesla M2050, Thesis, Weather prediction, Weather Prediction Model

November 19, 2012 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

* * *

high performance computing on graphics processing units: hgpu.org

Modeling the spatio-temporal evolution of fracture networks and fluid-rock interactions in GPU: Applications to lithospheric geodynamics

Acceleration of Tsunami Wave Propagation Modeling based on Re-engineering of Computational Components

Urban Regional Seismic Damage Prediction Based On GPU-CPU Hybrid Computing

Exploiting Multiple Levels of Parallelism and Online Refinement of Unstructured Meshes in Atmospheric Model Application

Seismic Attributes Extraction Based on GPU

Application of GPU Smooth Particle Hydrodynamics: Wave Runup and Overtopping on Composite Slopes

Vision based Navigation (VBN) of Unmanned Aerial Vehicles (UAV)

GPU-accelerated MRF segmentation algorithm for SAR images

Advanced Techniques for the Rendering and Visualization of Volumetric Seismic Data

GPGPU-Aided 3D Staggered-grid Finite-difference Seismic Wave Modeling

GPU-based Space Situational Awareness Simulation utilising parallelism for enhanced multi-sensor management

Modern GPGPU Frameworks and their Application to the Physical Core of the ASUCA Weather Prediction Model

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

Most viewed papers (last 30 days)