high performance computing on graphics processing units: hgpu.org

Thales Luis Rodrigues Sabino, Marcelo Zamith, Diego Brandao, Anselmo Montenegro, Esteban Clua, Maurcio Kischinhevksy, Regina C.P. Leal-Toledo, Otton T. Silveira Filho, Andre Bulcao

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Tags: Acoustics, CUDA, Earth and Space Sciences, Finite difference, nVidia, Tesla C1060

November 24, 2011 by hgpu

Spatial interpolation in massively parallel computing environments

Katharina Hennebohl, Marius Appel, Edzer Pebesma

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Tags: Algorithms, CUDA, Earth and Space Sciences, nVidia, nVidia Quadro FX 4800

November 20, 2011 by hgpu

Seismic Wave Propagation Simulation Using Accelerated Support Operator Rupture Dynamics on Multi-GPU

Yichen Zhou, Shenyi Song, Tingxing Dong, David A. Yuen

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Tags: CUDA, Earth and Space Sciences, Finite difference, Fortran, Geoscience, MPI, nVidia, Seismic modeling, Tesla C1060

November 14, 2011 by hgpu

Implementation of a multigrid solver on GPU for Stokes equations with strongly variable viscosity based on Matlab and CUDA

Liang Zheng, Taras Gerya, Matthew Knepley, David A. Yuen, Huai Zhang, Yaolin Shi

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Tags: CUDA, Differential equations, Earth and Space Sciences, Numerical simulation, nVidia, Partial differential equations, PDEs, Tesla C2070

November 5, 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 Fast 3D Spatial Analysis Technique Using Graphic Process Units

Parallel Quadtree Coding of Large-Scale Raster Geospatial Data on GPGPUs

Global Point Mascon Models for Simple, Accurate and Parallel Geopotential Computation

Impact of Floating-Point Precision on Boundary Layer Instabilities Modeled on Fermi GPU

Support Operator Rupture Dynamics on GPU

Scaling Results for a Discontinuous Galerkin Finite-Element Wave Solver on Multi-GPU Systems

Seismic Wave Propagation Simulation Using Support Operator Method on multi-GPU system

High Rayleigh Number Mantle Convection on GPU

Scalable Simulation of 3D Wave Propagation in Semi-Infinite Domains Using the Finite Difference Method on a GPU Based Cluster

Spatial interpolation in massively parallel computing environments

Seismic Wave Propagation Simulation Using Accelerated Support Operator Rupture Dynamics on Multi-GPU

Implementation of a multigrid solver on GPU for Stokes equations with strongly variable viscosity based on Matlab and CUDA

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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