high performance computing on graphics processing units: hgpu.org

Programming

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Parallel GPU Implementation of Iterative PCA Algorithms

M. Andrecut

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Tags: Algorithms, CUBLAS, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280

November 13, 2010 by hgpu

GPU computing for 2-d spin systems: CUDA vs OpenGL

Viola Anselmi, Giovanni Conti, Francesco Di Renzo

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Tags: CUDA, High Energy Physics - Lattice, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GTX, OpenGL, Physics

November 13, 2010 by hgpu

Solving Kinetic Equations on GPUs I: Model Kinetic Equations

Aldo Frezzotti, Gian Pietro Ghiroldi, Livio Gibelli

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Tags: Boltzmann equation, Computational Physics, CUDA, nVidia, nVidia GeForce GTX 260, Physics

November 13, 2010 by hgpu

Density Functional Theory calculation on many-cores hybrid CPU-GPU architectures

Luigi Genovese, Matthieu Ospici, Thierry Deutsch, Jean-Francois Mehaut, Alexey Neelov, Stefan Goedecker

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Tags: Computational Physics, Condensed matter, CUDA, Materials Science, nVidia, Physics, Tesla S1070

November 13, 2010 by hgpu

Accelerator-Oriented Algorithm Transformation for Temporal Data Mining

Debprakash Patnaik, Sean P. Ponce, Yong Cao, Naren Ramakrishnan

Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce GTX 280

November 13, 2010 by hgpu

Application of Graphics Processing Units to Search Pipeline for Gravitational Waves from Coalescing Binaries of Compact Objects

Shin Kee Chung, Linqing Wen, David Blair, Kipp Cannon, Amitava Datta

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Tags: CUDA, FFT, General Relativity and Quantum Cosmology, Gravitation, nVidia, nVidia GeForce 8800 Ultra, Physics

November 13, 2010 by hgpu

Efficient magnetohydrodynamic simulations on graphics processing units with CUDA

Hon-Cheng Wong, Un-Hong Wong, Xueshang Feng, Zesheng Tang

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Tags: Computational Physics, CUDA, Electrodynamics, Magnetohydrodynamics, nVidia, nVidia GeForce GTX 295, Physics

November 13, 2010 by hgpu

GPU-based ultra fast dose calculation using a finite pencil beam model

Xuejun Gu, Dongju Choi, Chunhua Men, Hubert Pan, Amitava Majumdar, Steve B. Jiang

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Tags: CUDA, Medical Physics, Medicine, nVidia, nVidia GeForce 9500 GT, nVidia GeForce GTX 285, Physics, Radiotherapy, Tesla C1060, Tesla S1070

November 13, 2010 by hgpu

Implementation and evaluation of various demons deformable image registration algorithms on GPU

Xuejun Gu, Hubert Pan, Yun Liang, Richard Castillo, Deshan Yang, Dongju Choi, Edward Castillo, Amitava Majumdar, Thomas Guerrero, Steve B. Jiang

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Tags: CUDA, Image registration, Medical Physics, Medicine, nVidia, nVidia GeForce GTX 285, Physics, Radiotherapy

November 13, 2010 by hgpu

Development of a GPU-based Monte Carlo dose calculation code for coupled electron-photon transport

Xun Jia, Xuejun Gu, Josep Sempau, Dongju Choi, Amitava Majumdar, Steve B. Jiang

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Tags: CUDA, Medical Physics, Medicine, Monte Carlo simulation, nVidia, Physics, Radiotherapy, Tesla C1060

November 13, 2010 by hgpu

TWQCD’s dynamical DWF project

Ting-Wai Chiu, Tian-Shin Guu, Tung-Han Hsieh, Chao-Hsi Huang, Yu-Ying Lee, Yao-Yuan Mao, Kenji Ogawa, Po-Kai Tseng

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, MPI, nVidia, OpenMP, Physics, QCD, Tesla S1070

November 13, 2010 by hgpu

Enhanced molecular dynamics performance with a programmable graphics processor

D. C. Rapaport

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Tags: Chemistry, Computational chemistry, Computational Physics, CUDA, Molecular dynamics, nVidia, nVidia Quadro FX 770 M, Physics

November 13, 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

Programming

Parallel GPU Implementation of Iterative PCA Algorithms

GPU computing for 2-d spin systems: CUDA vs OpenGL

Solving Kinetic Equations on GPUs I: Model Kinetic Equations

Density Functional Theory calculation on many-cores hybrid CPU-GPU architectures

Accelerator-Oriented Algorithm Transformation for Temporal Data Mining

Application of Graphics Processing Units to Search Pipeline for Gravitational Waves from Coalescing Binaries of Compact Objects

Efficient magnetohydrodynamic simulations on graphics processing units with CUDA

GPU-based ultra fast dose calculation using a finite pencil beam model

Implementation and evaluation of various demons deformable image registration algorithms on GPU

Development of a GPU-based Monte Carlo dose calculation code for coupled electron-photon transport

TWQCD’s dynamical DWF project

Enhanced molecular dynamics performance with a programmable graphics processor

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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