high performance computing on graphics processing units: hgpu.org

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Ferrofluid Simulations with the Barnes-Hut Algorithm on Graphics Processing Units

A. Yu. Polyakov, T. V. Lyutyy, S. Denisov, V. V. Reva, P. Hanggi

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Tags: Computational Physics, CUDA, Fluid dynamics, Fluid simulation, Numerical simulation, nVidia, Tesla M2050

December 14, 2012 by hgpu

Gauge Field Generation on Large-Scale GPU-Enabled Systems

Frank Winter

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, Physics, QCD, Tesla M2090

December 5, 2012 by hgpu

Molecular dynamics for long-range interacting systems on Graphic Processing Units

Tarcisio M. Rocha Filho

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Tags: Algorithms, Computational Physics, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 690, Physics, Statistical Mechanics

December 4, 2012 by hgpu

A Customized 3D GPU Poisson Solver for Free BCs

Nazim Dugan, Luigi Genovese, Stefan Goedecker

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Tags: Computational Physics, CUDA, nVidia, Physics, Poisson equation, Tesla M2090

November 26, 2012 by hgpu

Accelerated molecular dynamics force evaluation on graphics processing units for thermal conductivity calculations

Zheyong Fan, Topi Siro, Ari Harju

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Tags: Computational Physics, Condensed matter, CUDA, Materials Science, Molecular dynamics, nVidia, Physics, Tesla M2070

November 19, 2012 by hgpu

Massively parallel Monte Carlo for many-particle simulations on GPUs

Joshua A. Anderson, Eric Jankowski, Thomas L. Grubb, Michael Engel, Sharon C. Glotzer

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Tags: Algorithms, Computational Physics, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 680, Particle simulation, Physics

November 8, 2012 by hgpu

Computational Physics on Graphics Processing Units

Ari Harju, Topi Siro, Filippo Federici-Canova, Samuli Hakala, Teemu Rantalaiho

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Tags: Computational Physics, High Energy Physics - Lattice, Molecular dynamics, Physics, Review

October 31, 2012 by hgpu

GPU-Based Asynchronous Global Optimization with Particle Swarm

M. P. Wachowiak, A. E. Lambe Foster

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Tags: Biological Physics, Computational Physics, CUDA, nVidia, Particle swarm optimization, Physics, Tesla S1070

October 25, 2012 by hgpu

A short guide to CUDA C: For physicists with multi-core graphics cards

David Plotzki

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Source codes

Tags: Computational Physics, Computer science, CUDA, nVidia, nVidia Quadro NVS 3100 M, Package, Physics, Tesla C1060, Tutorial

October 19, 2012 by hgpu

Kinetics of liquid-solid phase transition in large nickel clusters

Alexander V. Yakubovich, Gennady Sushko, Stefan Schramm, Andrey V. Solov'yov

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Tags: ATI, ATI Radeon HD 5870, Computational Physics, Mesoscale and Nanoscale Physics, Molecular dynamics, OpenCL, Phase transition, Physics, Solidification

October 15, 2012 by hgpu

Towards accelerating Smoothed Particle Hydrodynamics simulations for free-surface flows on multi-GPU clusters

Daniel Valdez-Balderas, Jose M. Dominguez, Benedict D. Rogers, Alejandro J.C. Crespo

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Tags: Algorithms, Computational Physics, Condensed matter, CUDA, Fluid dynamics, GPU cluster, Instrumentation and Methods for Astrophysics, Molecular dynamics, MPI, nVidia, nVidia GeForce GTX 480, Physics, Sorting, Tesla M2050

October 4, 2012 by hgpu

GPU in Physics Computation: Case Geant4 Navigation

Otto Seiskari, Jukka Kommeri, Tapio Niemi

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 470, Physics

September 25, 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

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high performance computing on graphics processing units: hgpu.org

Ferrofluid Simulations with the Barnes-Hut Algorithm on Graphics Processing Units

Gauge Field Generation on Large-Scale GPU-Enabled Systems

Molecular dynamics for long-range interacting systems on Graphic Processing Units

A Customized 3D GPU Poisson Solver for Free BCs

Accelerated molecular dynamics force evaluation on graphics processing units for thermal conductivity calculations

Massively parallel Monte Carlo for many-particle simulations on GPUs

Computational Physics on Graphics Processing Units

GPU-Based Asynchronous Global Optimization with Particle Swarm

A short guide to CUDA C: For physicists with multi-core graphics cards

Kinetics of liquid-solid phase transition in large nickel clusters

Towards accelerating Smoothed Particle Hydrodynamics simulations for free-surface flows on multi-GPU clusters

GPU in Physics Computation: Case Geant4 Navigation

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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