high performance computing on graphics processing units: hgpu.org

hgpu.org » Earth and Space Sciences

Implementation of Kirchhoff prestack depth migration on GPU

Davide Teixeira, Alex Yeh, Sampath Gajawada

View

Download (PDF)

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

August 23, 2013 by hgpu

Simulating Dam-Break Flooding with Floating Objects through Intricate City Layouts Using GPU-based SPH Method

Jiansong Wu, Hui Zhang, Robert A. Dalrymple

View

Download (PDF)

Source codes

Tags: CUDA, Earth and Space Sciences, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, Package, Tesla C2075

August 20, 2013 by hgpu

Performance Evaluation of the Ocean-Land-Atmosphere Model Using Graphics Processing Units

Claudio Schepke, Nicolas Maillard

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, nVidia, Tesla S1070

July 22, 2013 by hgpu

CUDA-C implementation of the ADER-DG method for linear hyperbolic PDEs

C. E. Castro, J. Behrens, C. Pelties

View

Download (PDF)

Tags: CUDA, Differential equations, Earth and Space Sciences, Geoscience, Hyperbolic PDEs, Matrix multiplication, nVidia, Partial differential equations, PDEs, Tesla C2070

July 15, 2013 by hgpu

Modelling sea water intrusion in coastal aquifers using heterogeneous computing

Benjamin Donald Cumming

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, Finite volume method, Heterogeneous systems, nVidia, Tesla C2050, Thesis

July 10, 2013 by hgpu

A Smart GPU Implementation of an Elliptic Kernel for an Ocean Global Circulation Model

R. Farina, S. Cuomo, P. De Michele, F. Piccialli

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, nVidia, nVidia Quadro FX 4700, Tesla S2050

July 8, 2013 by hgpu

GPU-enabled Efficient Executions of Radiation Calculations in Climate Modelling

Sai Kiran Korwar

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, nVidia, OpenACC, Tesla C2070, Tesla K20, Tesla M2090, Tesla S2050, Thesis, Weather prediction

July 5, 2013 by hgpu

Physical modeling and high-performance GPU computing for characterization, interception, and disruption of hazardous near-Earth objects

Brian Douglas Kaplinger

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, nVidia, Tesla C2050, Thesis

July 3, 2013 by hgpu

Adaptation of algorithms for underwater sonar data processing to GPU-based systems

Patricia Sundin

View

Download (PDF)

Tags: Algorithms, CUDA, Earth and Space Sciences, nVidia, nVidia Quadro K5000, OpenCL, Tesla K20, Thesis

June 29, 2013 by hgpu

Graphics Processing Unit (GPU) Implementation Methodology of AERMOD Model

Neelima B., Anirudh Udupa G., Jane Shailoh Quadras, Gururaja Rao P.

Tags: CUDA, Earth and Space Sciences, nVidia

May 23, 2013 by hgpu

Parallel Zonal Summations of Large-Scale Species Occurrence Data on Hybrid CPU-GPU Systems

Jianting Zhang, Simin You

View

Download (PDF)

Tags: CUDA, Data parallelism, Earth and Space Sciences, Filtering, Geoscience, nVidia, nVidia Quadro FX 6000, Performance

May 19, 2013 by hgpu

Numerical Modeling of Atmospheric Vortices

Sudeep Dasari, David Murphy, Colin Redman

View

Download (PDF)

Tags: CUDA, Differential equations, Earth and Space Sciences, nVidia, ODEs, Ordinary differential equations

April 25, 2013 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

Implementation of Kirchhoff prestack depth migration on GPU

Simulating Dam-Break Flooding with Floating Objects through Intricate City Layouts Using GPU-based SPH Method

Performance Evaluation of the Ocean-Land-Atmosphere Model Using Graphics Processing Units

CUDA-C implementation of the ADER-DG method for linear hyperbolic PDEs

Modelling sea water intrusion in coastal aquifers using heterogeneous computing

A Smart GPU Implementation of an Elliptic Kernel for an Ocean Global Circulation Model

GPU-enabled Efficient Executions of Radiation Calculations in Climate Modelling

Physical modeling and high-performance GPU computing for characterization, interception, and disruption of hazardous near-Earth objects

Adaptation of algorithms for underwater sonar data processing to GPU-based systems

Graphics Processing Unit (GPU) Implementation Methodology of AERMOD Model

Parallel Zonal Summations of Large-Scale Species Occurrence Data on Hybrid CPU-GPU Systems

Numerical Modeling of Atmospheric Vortices

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)