high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Earth and Space Sciences

GPU Computing for Atmospheric Modeling

Rory Kelly

Tags: CUDA, Earth and Space Sciences, nVidia

November 6, 2010 by hgpu

Porting a high-order finite-element earthquake modeling application to NVIDIA graphics cards using CUDA

Dimitri Komatitsch, David Michea, Gordon Erlebacher

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Tags: CUDA, Finite element method, Geoscience, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Spectral methods

November 3, 2010 by hgpu

High-order finite-element seismic wave propagation modeling with MPI on a large GPU cluster

Dimitri Komatitsch, Gordon Erlebacher, Dominik Goddeke, David Michea

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Tags: Computational Physics, CUDA, Finite element method, Geoscience, GPU cluster, MPI, Numerical simulation, nVidia, Physics, Seismic modeling, Spectral elements, Tesla S1060, Tesla S1070

October 29, 2010 by hgpu

Accelerating Kirchhoff Migration by CPU and GPU Cooperation

Jairo Panetta, Thiago Teixeira, Paulo R. P. de Souza Filho, Carlos A. da Cunha Finho, David Sotelo, Fernando M. da Motta, Silvio S. Pinheiro, Ivan P. Junior, Andre L. Rosa, Luiz R. Monnerat, Leandro T. Carneiro, Carlos H. B. de Albrecht

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Tags: CUDA, Geoscience, GPU cluster, nVidia, Physics, Tesla C1060

October 28, 2010 by hgpu

Hybrid GPU-Based Single- and Double-Bounce SAR Simulation

T. Balz, U. Stilla

Tags: Geoscience, Physics, Raytracing, Rendering, Signal processing

October 28, 2010 by hgpu

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Octo-Tiger: Astrophysics program simulating the evolution of star systems based on the fast multipole method on adaptive Octrees

Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL

BAT: A standardized benchmark suite for auto-tuners

Towards a Benchmarking Suite for Kernel Tuners

BenchDirect: A Directed Language Model for Compiler Benchmarks

A Deep Learning Model for Loop Interchange

Bridging Control-Centric and Data-Centric Optimization

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE

EvoTorch: Scalable Evolutionary Computation in Python

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

GPU Computing for Atmospheric Modeling

Porting a high-order finite-element earthquake modeling application to NVIDIA graphics cards using CUDA

High-order finite-element seismic wave propagation modeling with MPI on a large GPU cluster

Accelerating Kirchhoff Migration by CPU and GPU Cooperation

Hybrid GPU-Based Single- and Double-Bounce SAR Simulation

Recent source codes

E2C-Sim: a simulator and workload generator for Edge-to-Cloud environments

Kernel Tuner

Clava: C/C++ Source-to-Source Tool based on Clang

gpuLik

Octo-Tiger: Astrophysics program simulating the evolution of star systems based on the fast multipole method on adaptive Octrees

BAT: A standardized benchmark suite for auto-tuners

BenchDirect: A Directed Language Model for Compiler Benchmarks

A Deep Learning Model for Loop Interchange

Bridging Control-Centric and Data-Centric Optimization

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE

Most viewed papers (last 30 days)