high performance computing on graphics processing units: hgpu.org

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GPU accelerated Monte Carlo simulations of lattice spin models

Martin Weigel, Taras Yavors'kii

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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

Connected component identification and cluster update on GPU

Martin Weigel

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Physics, Statistical Mechanics, Tesla M2070

May 31, 2011 by hgpu

Anomalous Structure and Scaling of Ring Polymer Brushes

Daniel Reith, Andrey Milchev, Peter Virnau, Kurt Binder

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Tags: Condensed matter, Materials Science, nVidia, nVidia GeForce GTX 480, Physics, Soft Condensed Matter, Statistical Mechanics

April 29, 2011 by hgpu

Performance potential for simulating spin models on GPU

Martin Weigel

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Tags: Computational Physics, CUDA, Disordered Systems and Neural Networks, Heisenberg model, High Energy Physics - Lattice, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, Package, Physics, Statistical Mechanics, Tesla C1060

January 12, 2011 by hgpu

q-state Potts model metastability study using optimized GPU-based Monte Carlo algorithms

Ezequiel E. Ferrero, Juan Pablo De Francesco, Nicolas Wolovick, Sergio A. Cannas

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Tags: Computational Physics, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, nVidia GeForce GTX 480, Package, Physics, Statistical Mechanics

January 6, 2011 by hgpu

Simulation of 1+1 dimensional surface growth and lattices gases using GPUs

Henrik Schulz, Geza Odor, Gergely Odor, Máté Ferenc Nagy

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Tags: ATI, ATI Radeon HD 5970, Computational Physics, CUDA, Disordered Systems and Neural Networks, nVidia, nVidia Quadro FX 5800, OpenCL, Physics, Statistical Mechanics, Tesla C1060

December 3, 2010 by hgpu

Toward large-scale Hybrid Monte Carlo simulations of the Hubbard model on graphics processing units

Kyle A. Wendt, Joaquin E. Drut, Timo A. Lahde

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Tags: Computational Physics, Condensed matter, CUDA, Monte Carlo simulation, nVidia, Physics, Statistical Mechanics, Tesla C1060

November 11, 2010 by hgpu

Phase diagram and critical behavior of the square-lattice Ising model with competing nearest- and next-nearest-neighbor interactions

Junqi Yin, D. P. Landau

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Tags: Computational Physics, CUDA, Ising model, Monte Carlo simulation, MPI, nVidia, nVidia GeForce GTX 285, Phase transition, Physics, Statistical Mechanics

November 8, 2010 by hgpu

Simulating spin models on GPU

Martin Weigel

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Source codes

Tags: CUDA, Ising model, Monte Carlo simulation, nVidia, Package, Physics, Statistical Mechanics, Tesla C1060

October 27, 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

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high performance computing on graphics processing units: hgpu.org

GPU accelerated Monte Carlo simulations of lattice spin models

Connected component identification and cluster update on GPU

Anomalous Structure and Scaling of Ring Polymer Brushes

Performance potential for simulating spin models on GPU

q-state Potts model metastability study using optimized GPU-based Monte Carlo algorithms

Simulation of 1+1 dimensional surface growth and lattices gases using GPUs

Toward large-scale Hybrid Monte Carlo simulations of the Hubbard model on graphics processing units

Phase diagram and critical behavior of the square-lattice Ising model with competing nearest- and next-nearest-neighbor interactions

Simulating spin models on GPU

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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