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High Performance Monte Carlo and Time-Stepping Dynamics for the Classical Spin Heisenberg Model on GPUs

K.A. Hawick, D.P. Playne

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Tags: Algorithms, CUDA, Heisenberg model, Monte Carlo simulation, nVidia, Physics, Rendering, Stochastic simulation

May 19, 2012 by hgpu

Optimized GPU simulation of continuous-spin glass models

Taras Yavors'kii, Martin Weigel

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Tags: Computational Physics, CUDA, Disordered Systems and Neural Networks, Heisenberg model, nVidia, nVidia GeForce GTX 480, Physics, Statistical Mechanics

May 1, 2012 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

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

GPU accelerated tensor contractions in the plaquette renormalization scheme

J. F. Yu, H. C. Hsiao, Ying-Jer Kao

Tags: CUDA, Fluid dynamics, Heisenberg model, nVidia

November 22, 2010 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

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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

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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

High Performance Monte Carlo and Time-Stepping Dynamics for the Classical Spin Heisenberg Model on GPUs

Optimized GPU simulation of continuous-spin glass models

Parallel Implementation of the Heisenberg Model Using Monte Carlo on GPGPU

Performance potential for simulating spin models on GPU

GPU accelerated tensor contractions in the plaquette renormalization scheme

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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