high performance computing on graphics processing units: hgpu.org

hgpu.org » Monte Carlo simulation

GPU-based single-cluster algorithm for the simulation of the Ising model

Yukihiro Komura, Yutaka Okabe

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Tags: Algorithms, Computational Physics, CUDA, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 285, Physics

October 6, 2011 by hgpu

Connected-component identification and cluster update on graphics processing units

Martin Weigel

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Tags: Algorithms, Computational Physics, CUDA, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Physics, Tesla M2070

October 6, 2011 by hgpu

Parallel Direct Simulation Monte Carlo Computation Using CUDA on GPUs

C.-C. Su, C.-W. Hsieh, M. R. Smith, M. C. Jermy, and J.-S. Wua

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Tags: Benchmarking, Computer science, CUDA, Monte Carlo simulation, nVidia, Tesla C1060

October 5, 2011 by hgpu

A GPU approach to parallel replica-exchange polymer simulations

Jonathan Gross, Wolfhard Janke, Michael Bachmann

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Tags: CUDA, Monte Carlo simulation, nVidia, Physics, Polymer Systems, Programming techniques

September 27, 2011 by hgpu

Fast Monte Carlo Simulation for Patient-specific CT/CBCT Imaging Dose Calculation

Xun Jia, Hao Yan, Xuejun Gu, Steve B. Jiang

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Tags: Computed tomography, CT, CUDA, Heterogeneous systems, Medical Physics, Medicine, Monte Carlo simulation, nVidia, Physics, Tesla C2050, Tomography

September 16, 2011 by hgpu

Implementation of Sequential Importance Sampling in GPGPU

Keisuke Hayashi, Masaya M. Saito, Ryo Yoshida, Tomoyuki Higuchi

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Tags: Algorithms, CUDA, Mathematics, Monte Carlo simulation, nVidia, Tesla C870

September 1, 2011 by hgpu

Calculation of fermion loops for eta-prime and nucleon scalar and electromagnetic form factors

C. Alexandrou, K. Hadjiyiannakou, G. Koutsou, A. 'O Cais, A. Strelchenko

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Tags: CUDA, GPU cluster, High Energy Physics - Lattice, High Energy Physics - Phenomenology, Monte Carlo simulation, Nuclear Theory, nVidia, Physics

August 12, 2011 by hgpu

GPU accelerated Monte Carlo simulations of lattice spin models

Martin Weigel, Taras Yavors'kii

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Source codes

Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, Package, Physics, Statistical Mechanics, Tesla C1060

July 28, 2011 by hgpu

Real time image reconstruction using GPUs for a surgical PET imaging probe system

S.S. Huh, Li Han, W.L. Rogers, N.H. Clinthorne

Tags: CUDA, Image reconstruction, Medicine, Monte Carlo simulation, nVidia, nVidia GeForce 9800 GTX, PET, Tomography

July 22, 2011 by hgpu

Parallel Implementation of the Heisenberg Model Using Monte Carlo on GPGPU

Alessandra Campos, J. Pecanha, Patricia Pampanelli, Rafael de Almeida, Marcelo Lobosco, Marcelo Vieira, Socrates de O. Dantas

Tags: Computational Physics, Heisenberg model, Mesoscale and Nanoscale Physics, Monte Carlo simulation, Physics

July 22, 2011 by hgpu

GPU-based fast Monte Carlo simulation for radiotherapy dose calculation

Xun Jia, Xuejun Gu, Yan Jiang Graves, Michael Folkerts, Steve B. Jiang

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Tags: CUDA, Medical Physics, Monte Carlo simulation, nVidia, Physics, Radiotherapy, Tesla C2050

July 19, 2011 by hgpu

Massively parallelized replica-exchange simulations of polymers on GPUs

Jonathan Gross, Wolfhard Janke, Michael Bachmann

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Tags: Biomolecules, Computational Physics, Condensed matter, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Physics, Polymer Systems, Tesla C1060

July 19, 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

GPU-based single-cluster algorithm for the simulation of the Ising model

Connected-component identification and cluster update on graphics processing units

Parallel Direct Simulation Monte Carlo Computation Using CUDA on GPUs

A GPU approach to parallel replica-exchange polymer simulations

Fast Monte Carlo Simulation for Patient-specific CT/CBCT Imaging Dose Calculation

Implementation of Sequential Importance Sampling in GPGPU

Calculation of fermion loops for eta-prime and nucleon scalar and electromagnetic form factors

GPU accelerated Monte Carlo simulations of lattice spin models

Real time image reconstruction using GPUs for a surgical PET imaging probe system

Parallel Implementation of the Heisenberg Model Using Monte Carlo on GPGPU

GPU-based fast Monte Carlo simulation for radiotherapy dose calculation

Massively parallelized replica-exchange simulations of polymers on GPUs

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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