high performance computing on graphics processing units: hgpu.org

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Active Structured Learning for High-Speed Object Detection

Christoph H. Lampert, Jan Peters

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Video tracking

November 19, 2010 by hgpu

PantaRay: fast ray-traced occlusion caching of massive scenes

Jacopo Pantaleoni, Luca Fascione, Martin Hill, Timo Aila

Tags: 3D Graphics and Realism, Computer science, nVidia, Raytracing

November 19, 2010 by hgpu

Simulation of P systems with active membranes on CUDA

Jose M. Cecilia, Jose M. Garcia, Gines D. Guerrero, Miguel A. Martinez-del-Amor, Ignacio Perez-Hurtado, Mario J. Perez-Jimenez

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Tags: Computer science, CUDA, Membrane computing, nVidia, Tesla C1060

November 19, 2010 by hgpu

Real time ultrasound image denoising

Fernanda Palhano Xavier de Fontes, Guillermo Andrade Barroso, Pierrick Coupe, Pierre Hellier

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 280

November 19, 2010 by hgpu

View-dependent exploration of massive volumetric models on large-scale light field displays

Jose Iglesias Guitian, Enrico Gobbetti, Fabio Marton

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, OpenGL, Rendering

November 19, 2010 by hgpu

Accelerating numerical solution of stochastic differential equations with CUDA

M. Januszewski, M. Kostur

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Tags: Computational Physics, CUDA, Diffusion equation, nVidia, Package, Physics, Tesla C1060

November 19, 2010 by hgpu

Evaluation of parallel particle swarm optimization algorithms within the CUDA architecture

Luca Mussi, Fabio Daolio, Stefano Cagnoni

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT

November 19, 2010 by hgpu

Parallel Implementation on GPUs of ADI Finite Difference Methods for Parabolic PDEs with Applications in Finance

Duy M. Dang, Christina Christara, Kenneth R. Jackson

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Tags: CUDA, Finance, Finite difference, nVidia, Partial differential equations, PDEs, Tesla T10

November 19, 2010 by hgpu

High-Performance Iterative Electron Tomography Reconstruction with Long-Object Compensation using Graphics Processing Units (GPUs)

Wei Xu, Fang Xu, Mel Jones, Bettina Keszthelyi, John Sedat, David Agard, Klaus Mueller

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Tags: Computed tomography, CT, CUDA, GLSL, Image processing, Image reconstruction, Medicine, nVidia, nVidia GeForce 7800 GTX, nVidia GeForce GTX 280, Tomography

November 19, 2010 by hgpu

Rodinia: A benchmark suite for heterogeneous computing

Shuai Che, Michael Boyer, Jiayuan Meng, David Tarjan, Jeremy W. Sheaffer, Sang-Ha Lee, Kevin Skadron

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, OpenMP

November 19, 2010 by hgpu

Ultra-fast FFT protein docking on graphics processors

David W. Ritchie, Vishwesh Venkatraman

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Tags: Bioinformatics, Biology, CUDA, FFT, nVidia, nVidia GeForce GTX 285

November 19, 2010 by hgpu

Optimizing and tuning the fast multipole method for state-of-the-art multicore architectures

Aparna Chandramowlishwaran, Samuel Williams, Leonid Oliker, Ilya Lashuk, George Biros, Richard Vuduc

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Tags: Computer science, CUDA, Fast multipole method, MPI, nVidia, OpenMP, Performance, Tesla S1070

November 19, 2010 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

Active Structured Learning for High-Speed Object Detection

PantaRay: fast ray-traced occlusion caching of massive scenes

Simulation of P systems with active membranes on CUDA

Real time ultrasound image denoising

View-dependent exploration of massive volumetric models on large-scale light field displays

Accelerating numerical solution of stochastic differential equations with CUDA

Evaluation of parallel particle swarm optimization algorithms within the CUDA architecture

Parallel Implementation on GPUs of ADI Finite Difference Methods for Parabolic PDEs with Applications in Finance

High-Performance Iterative Electron Tomography Reconstruction with Long-Object Compensation using Graphics Processing Units (GPUs)

Rodinia: A benchmark suite for heterogeneous computing

Ultra-fast FFT protein docking on graphics processors

Optimizing and tuning the fast multipole method for state-of-the-art multicore architectures

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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