high performance computing on graphics processing units: hgpu.org

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Dynamical heterogeneities as fingerprints of a backbone structure in Potts models

Ezequiel E. Ferrero, Federico Roma, Sebastian Bustingorry, Pablo M. Gleiser

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Tags: Condensed matter, CUDA, Monte Carlo simulation, Numerical simulation, nVidia, nVidia GeForce GTX 480, Package, Physics, Statistical Mechanics

September 12, 2012 by hgpu

DEM based simulation of concrete structures on GPU

Marie Durand, Philippe Marin, Francois Faure, Bruno Raffin

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Tags: Algorithms, Computer science, CUDA, Numerical simulation, nVidia, Tesla C2050

August 18, 2012 by hgpu

Halo Gathering Scalability for Large Scale Multi-dimensional Sznajd Opinion Models Using Data Parallelism with GPUs

K.A. Hawick, D.P. Playne

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Tags: Computer science, CUDA, Data parallelism, Numerical simulation, nVidia, nVidia GeForce GTX 580, Phase transition

July 2, 2012 by hgpu

FMM-based vortex method for simulation of isotropic turbulence on GPUs, compared with a spectral method

Rio Yokota, L. A. Barba

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Tags: Computational Physics, Computer science, CUDA, Fast multipole method, FFT, Fluid dynamics, N-body simulation, Numerical Analysis, Numerical simulation, nVidia, Package, Spectral methods, Tesla C2070, Tesla M2050

June 21, 2012 by hgpu

Efficient simulations of long wave propagation and runup using a LBM approach on GPGPU hardware

Christian F. Janssen, Stephan T. Grilli, Manfred Krafczyk

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Tags: Algorithms, CUDA, Fluid dynamics, Lattice Boltzmann model, Numerical simulation, nVidia, Tesla C2070, Wave equation

June 19, 2012 by hgpu

Accelerated GPU Simulation of Compressible Flow by the Discontinuous Evolution Galerkin Method

Block B. J., Lukacova-Medvid'ova M., Virnau P., Yelash L.

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Tags: CUDA, Fluid dynamics, Numerical simulation, nVidia, nVidia GeForce GTX 580

May 19, 2012 by hgpu

Scalable Distributed Fast Multipole Methods

Qi Hu, Nail A. Gumerov, Ramani Duraiswami

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Tags: Algorithms, Computer science, CUDA, Fast multipole method, Heterogeneous systems, Numerical simulation, nVidia, Tesla C2050

May 12, 2012 by hgpu

GPU-Accelerated Numerical Simulations of the Knudsen Gas on Time-Dependent Domains

Florian De Vuyst, Francesco Salvarani

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Tags: CUDA, Numerical simulation, nVidia, Physics, Tesla C2070

April 19, 2012 by hgpu

GPU-Accelerated Large-Eddy Simulation of Turbulent Channel Flows

Rey DeLeon, Inanc Senocak

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Tags: CUDA, Fluid dynamics, GPU cluster, Numerical simulation, nVidia

March 10, 2012 by hgpu

Efficient parallel implementation of the lattice Boltzmann method on large clusters of graphic processing units

Xiong QinGang, Li Bo, Xu Ji, Fang XiaoJian, Wang XiaoWei, Wang LiMin, He XianFeng, Ge Wei

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Tags: Algorithms, CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, MPI, Numerical simulation, nVidia, Tesla C2050

February 22, 2012 by hgpu

Boosting quantum evolutions using Trotter-Suzuki algorithms on GPUs

Carlos S. Bederian, Axel D. Dente

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Tags: Algorithms, Computer science, CUDA, Numerical simulation, nVidia, Physics, Tesla C2070

December 31, 2011 by hgpu

Hardware-Assisted High-Efficiency Ray Casting of Unstructured Time-Varying Flows Using Temporal Coherence

Qianli Ma, Liang Zeng, Huaxun Xu, Wenke Wang, Sikun Li

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Tags: Algorithms, Fluid dynamics, Numerical simulation, nVidia, nVidia GeForce GTS 250, Rendering

December 31, 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

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high performance computing on graphics processing units: hgpu.org

Dynamical heterogeneities as fingerprints of a backbone structure in Potts models

DEM based simulation of concrete structures on GPU

Halo Gathering Scalability for Large Scale Multi-dimensional Sznajd Opinion Models Using Data Parallelism with GPUs

FMM-based vortex method for simulation of isotropic turbulence on GPUs, compared with a spectral method

Efficient simulations of long wave propagation and runup using a LBM approach on GPGPU hardware

Accelerated GPU Simulation of Compressible Flow by the Discontinuous Evolution Galerkin Method

Scalable Distributed Fast Multipole Methods

GPU-Accelerated Numerical Simulations of the Knudsen Gas on Time-Dependent Domains

GPU-Accelerated Large-Eddy Simulation of Turbulent Channel Flows

Efficient parallel implementation of the lattice Boltzmann method on large clusters of graphic processing units

Boosting quantum evolutions using Trotter-Suzuki algorithms on GPUs

Hardware-Assisted High-Efficiency Ray Casting of Unstructured Time-Varying Flows Using Temporal Coherence

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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