high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

QR decomposition on GPUs

Andrew Kerr, Dan Campbell, Mark Richards

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, Matrix decomposition, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280

February 5, 2011 by hgpu

Real-Time Prediction of Brain Shift Using Nonlinear Finite Element Algorithms

Grand Roman Joldes, Adam Wittek, Mathieu Couton, Simon K. Warfield and Karol Miller

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Tags: CUDA, Finite element method, Image processing, Image registration, Medicine, MRI, nVidia

February 5, 2011 by hgpu

Pixel-Exact Rendering of Spacetime Finite Element Solutions

Yuan Zhou, Michael Garland, Robert Haber

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Tags: Computer science, Finite element method, Image generation, nVidia, nVidia GeForce FX 5800 Ultra, OpenGL, Rendering

February 5, 2011 by hgpu

GPGPU-compatible archive based stochastic ranking evolutionary algorithm (G-ASREA) for multi-objective optimization

Deepak Sharma, Pierre Collet

Tags: Algorithms, Computer science, Evolutionary Computations

February 4, 2011 by hgpu

Accelerating total variation regularization for matrix-valued images on GPUs

Maryam Moazeni, Alex A. T. Bui, Majid Sarrafzadeh

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia Quadro FX 5600

February 4, 2011 by hgpu

A Graphics Hardware-Based Vortex Detection and Visualization System

Simon Stegmaier, Thomas Ertl

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Tags: ATI, ATI Radeon 9800 XT, Computer science, Fluid simulation, HLSL, Rendering, Visualization

February 4, 2011 by hgpu

Dispersion Simulation and Visualization For Urban Security

Arie E. Kaufman, Feng Qiu, Haik Lorenz, Jianning Wang, Suzanne Yoakum-Stover, Arie Kaufman, Klaus Mueller

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Tags: Computer science, Lattice Boltzmann model, nVidia, nVidia GeForce FX 5950 Ultra, OpenGL, Visualization

February 4, 2011 by hgpu

Depth Enhanced Panoramas

Gleb Bahmutov, Voicu Popescu, Elisha Sacks

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia Quadro FX 3000, OpenGL, Visualization

February 4, 2011 by hgpu

Two Level Approach to Efficient Visualization of Protein Dynamics

Ove Daae Lampe, Ivan Viola, Nathalie Reuter, Helwig Hauser

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Tags: Biology, Molecular dynamics, nVidia, nVidia GeForce 8800 GTX, OpenGL, Visualization

February 4, 2011 by hgpu

Lattice Based Volumetric Global Illumination

Feng Qiu, Fang Xu, Zhe Fan, Neophytou Neophytos, Arie Kaufman, Klaus Mueller

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 8800 GTX, Rendering, Visualization

February 4, 2011 by hgpu

QUDA programming for staggered quarks

Steven Gottlieb, Guochun Shi, Aaron Torok, Volodymyr Kindratenko

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Source codes

Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package, Physics, QCD, Tesla C1060, Tesla C2050, Tesla S1070

February 4, 2011 by hgpu

Phoenix: A Runtime Environment for High Performance Computing on Chip Multiprocessors

Avneesh Pant, Hassan Jafri, Volodymyr Kindratenko

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Tags: Algorithms, Computer science, MPI

February 4, 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

Applications

QR decomposition on GPUs

Real-Time Prediction of Brain Shift Using Nonlinear Finite Element Algorithms

Pixel-Exact Rendering of Spacetime Finite Element Solutions

GPGPU-compatible archive based stochastic ranking evolutionary algorithm (G-ASREA) for multi-objective optimization

Accelerating total variation regularization for matrix-valued images on GPUs

A Graphics Hardware-Based Vortex Detection and Visualization System

Dispersion Simulation and Visualization For Urban Security

Depth Enhanced Panoramas

Two Level Approach to Efficient Visualization of Protein Dynamics

Lattice Based Volumetric Global Illumination

QUDA programming for staggered quarks

Phoenix: A Runtime Environment for High Performance Computing on Chip Multiprocessors

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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