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High Performance Monte Carlo Simulation of Ising Model on TPU Clusters

Kun Yang, Yi-Fan Chen, Georgios Roumpos, Chris Colby, John Anderson

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Tags: Cloud, CUDA, Ising model, Machine learning, Monte Carlo simulation, Neural networks, nVidia, Package, Physics, Tesla V100, TPU

April 7, 2019 by hgpu

Deep neural networks for direct, featureless learning through observation: the case of 2d spin models

K. Mills, I. Tamblyn

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Tags: Condensed matter, CUDA, Deep learning, Ising model, Materials Science, Neural networks, nVidia, Phase transition, Physics, Tesla K40

July 2, 2017 by hgpu

GPU accelerated population annealing algorithm

Lev Yu. Barash, Martin Weigel, Michal Borovsky, Wolfhard Janke, Lev N. Shchur

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Tags: Algorithms, CUDA, Ising model, Monte Carlo simulation, nVidia, Package, Physics, Tesla K80

March 14, 2017 by hgpu

Adaptive Multi-GPU Exchange Monte Carlo for the 3D Random Field Ising Model

C. A. Navarro, Huang Wei, Youjin Deng

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Tags: Algorithms, Computational Physics, CUDA, Ising model, Monte Carlo simulation, nVidia, Physics, Spin Systems, Tesla K40

August 27, 2015 by hgpu

Nucleation Studies on Graphics Processing Units

Benjamin J. Block

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Tags: Anisotropy, ATI, ATI Radeon HD 6970, Biology, Chemistry, Differential equations, Ising model, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, nVidia GeForce GTX 690, nVidia GeForce GTX Titan, OpenCL, Physics, Tesla K20, Thesis

February 6, 2015 by hgpu

Anisotropic interfacial tension, contact angles, and line tensions: A graphics-processing-unit-based Monte Carlo study of the Ising model

Benjamin J. Block, Suam Kim, Peter Virnau, Kurt Binder

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Tags: Computational Physics, CUDA, Ising model, nVidia, OpenCL, Physics

November 25, 2014 by hgpu

Highly optimized simulations on single- and multi-GPU systems of 3D Ising spin glass

Matteo Lulli, Massimo Bernaschi, Giorgio Parisi

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Tags: Condensed matter, CUDA, Disordered Systems and Neural Networks, Ising model, MPI, nVidia, nVidia GeForce GTX Titan, Pseudo-random number generators

November 5, 2014 by hgpu

CUDA programs for GPU computing of Swendsen-Wang multi-cluster spin flip algorithm: 2D and 3D Ising, Potts, and XY models

Yukihiro Komura, Yutaka Okabe

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Tags: Algorithms, Computational Physics, CUDA, Ising model, nVidia, nVidia GeForce GTX 580, Phase transition, Physics, Statistical Mechanics

April 4, 2014 by hgpu

Anomalous metastability in a temperature-driven transition

Miguel Ibanez Berganza, Pietro Coletti, Alberto Petri

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Tags: Algorithms, Condensed matter, CUDA, Ising model, nVidia, Phase transition, Physics, Statistical Mechanics, Tesla K20

April 4, 2014 by hgpu

Parallel Tempering Simulation of the three-dimensional Edwards-Anderson Model with Compact Asynchronous Multispin Coding on GPU

Ye Fang, Sheng Feng, Ka-Ming Tam, Zhifeng Yun, Juana Moreno, J. Ramanujam, Mark Jarrell

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Tags: Condensed matter, CUDA, Disordered Systems and Neural Networks, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, Physics

November 25, 2013 by hgpu

Swendsen-Wang Multi-Cluster Algorithm for the 2D/3D Ising Model on Xeon Phi and GPU

Florian Wende, Thomas Steinke

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Tags: Algorithms, CUDA, Intel Phi, Ising model, Monte Carlo simulation, MPI, nVidia, Physics, Tesla M2090

August 30, 2013 by hgpu

Equilibrium and Non-Equilibrium Ising Models by Means of PCA

Carlo Lancia, Benedetto Scoppola

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Tags: CUDA, Ising model, Mathematical Physics, Nearest neighbour, nVidia, Physics, Tesla K20

July 14, 2013 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

Deep neural networks for direct, featureless learning through observation: the case of 2d spin models

GPU accelerated population annealing algorithm

Adaptive Multi-GPU Exchange Monte Carlo for the 3D Random Field Ising Model

Nucleation Studies on Graphics Processing Units

Anisotropic interfacial tension, contact angles, and line tensions: A graphics-processing-unit-based Monte Carlo study of the Ising model

Highly optimized simulations on single- and multi-GPU systems of 3D Ising spin glass

CUDA programs for GPU computing of Swendsen-Wang multi-cluster spin flip algorithm: 2D and 3D Ising, Potts, and XY models

Anomalous metastability in a temperature-driven transition

Parallel Tempering Simulation of the three-dimensional Edwards-Anderson Model with Compact Asynchronous Multispin Coding on GPU

Swendsen-Wang Multi-Cluster Algorithm for the 2D/3D Ising Model on Xeon Phi and GPU

Equilibrium and Non-Equilibrium Ising Models by Means of PCA

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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