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A Fast and Efficient Simulation Framework for Modeling Heat Transport

Joshua Gordon Clark

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Tags: CUDA, nVidia, nVidia GeForce GT 330 M, Optimization, Physics, Raytracing, Thesis, Visualization

February 29, 2012 by hgpu

An improved implementation of Preconditioned Conjugate Gradient Method on GPU

Yechen Gui, Guijuan Zhang

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Tags: Algorithms, CUDA, Laplace and Poisson equation, nVidia, Optimization, Physics, Poisson equation, Sparse matrix

February 27, 2012 by hgpu

High Performance N-Body Simulation and Visualization through CUDA Architecture

Edgar Josafat Martinez Noriega, Tetsu Narumi

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Tags: CUDA, Molecular dynamics, N-body simulation, nVidia, nVidia GeForce GTX 280, OpenGL, Physics, Rendering, Visualization

February 22, 2012 by hgpu

LAMMPScuda – a new GPU accelerated Molecular Dynamics Simulations Package and its Application to Ion-Conducting Glasses

Christian Robert Trott

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Source codes

Tags: Biology, Computational Physics, CUDA, Heterogeneous systems, Molecular dynamics, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, Package, Physics, Polymer Systems, Tesla C1060, Thesis

February 13, 2012 by hgpu

Implementing Molecular Dynamics on Hybrid High Performance Computers – Particle-Particle Particle-Mesh

W. Michael Brown, Axel Kohlmeyer, Steven J. Plimpton, Arnold N. Tharrington

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Source codes

Tags: Algorithms, Chemistry, CUDA, Electrostatics, GPU cluster, Heterogeneous systems, Molecular dynamics, nVidia, OpenCL, OpenMPI, Package, Physics, Tesla M2070

February 10, 2012 by hgpu

GPU-based Swendsen-Wang multi-cluster algorithm for the simulation of two-dimensional classical spin systems

Yukihiro Komura, Yutaka Okabe

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Tags: Algorithms, Computational Physics, CUDA, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 580, Physics, Spin Systems, Statistical Mechanics

February 6, 2012 by hgpu

An OpenCL implementation for the solution of TDSE on GPU and CPU architectures

Cathal O'Broin, Lampros A. A. Nikolopoulos

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Tags: Algorithms, ATI, ATI FirePro V7800, Computational Physics, Differential equations, nVidia, ODEs, OpenCL, Ordinary differential equations, Physics, Quantum Physics, Tesla S1070

January 31, 2012 by hgpu

Accelerating Beam Dynamics Simulations with GPUs

I.V. Pogorelov, K. Amyx, P. Messmer

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Tags: Algorithms, CUDA, High Energy Physics - Experiment, nVidia, Optimization, Physics, Tesla C2070

January 23, 2012 by hgpu

Analysis Acceleration in TMVA for the ATLAS Experiment at CERN using GPU Computing

Hazel McKendrick

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Tags: CUDA, High Energy Physics - Experiment, Machine learning, Neural networks, nVidia, Physics, Tesla C1060, Tesla C2050, Thesis

January 23, 2012 by hgpu

Accelerating the Simulations of the Ising Model by the GPU under the CUDA Environment

Xing Lu, Jing Cai, Peidong Cui, Wei Zhang

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Tags: Algorithms, CUDA, Ising model, Monte Carlo simulation, nVidia, Physics, Tesla C1060

January 22, 2012 by hgpu

Four-dimensional Cone Beam CT Reconstruction and Enhancement using a Temporal Non-Local Means Method

Xun Jia, Zhen Tian, Yifei Lou, Jan-Jakob Sonke, Steve B. Jiang

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Tags: Algorithms, Computed tomography, CT, CUDA, Medical Physics, Medicine, nVidia, Physics, Tesla C1060, Tomography

January 17, 2012 by hgpu

A Fast Jet Finder Algorithm Using Graphic Processing Unit

Raman Sehgal, A. K. Mohanty

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Tags: Algorithms, CUDA, Jets, Nuclear physics, nVidia, nVidia GeForce GT 520, Physics

January 16, 2012 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

* * *

high performance computing on graphics processing units: hgpu.org

A Fast and Efficient Simulation Framework for Modeling Heat Transport

An improved implementation of Preconditioned Conjugate Gradient Method on GPU

High Performance N-Body Simulation and Visualization through CUDA Architecture

LAMMPScuda – a new GPU accelerated Molecular Dynamics Simulations Package and its Application to Ion-Conducting Glasses

Implementing Molecular Dynamics on Hybrid High Performance Computers – Particle-Particle Particle-Mesh

GPU-based Swendsen-Wang multi-cluster algorithm for the simulation of two-dimensional classical spin systems

An OpenCL implementation for the solution of TDSE on GPU and CPU architectures

Accelerating Beam Dynamics Simulations with GPUs

Analysis Acceleration in TMVA for the ATLAS Experiment at CERN using GPU Computing

Accelerating the Simulations of the Ising Model by the GPU under the CUDA Environment

Four-dimensional Cone Beam CT Reconstruction and Enhancement using a Temporal Non-Local Means Method

A Fast Jet Finder Algorithm Using Graphic Processing Unit

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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