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Using Graphics Processors to Accelerate Synthetic Aperture Sonar Imaging via Backpropagation

Daniel P. Campbell, Daniel A. Cook

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Tags: CUDA, Image reconstruction, nVidia, Physics, Tesla S1070

February 16, 2011 by hgpu

MuMax: a new high-performance micromagnetic simulation tool

Arne Vansteenkiste, Ben Van de Wiele

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Source codes

Tags: Computational Physics, CUDA, Materials Science, Mesoscale and Nanoscale Physics, nVidia, nVidia GeForce GTX 580, Package, Physics

February 16, 2011 by hgpu

Accelerating Cosmological Data Analysis with Graphics Processors

Dylan W. Roeh, Volodymyr V. Kindratenko, Robert J. Brunner

Tags: Astrophysics, Cosmology, CUDA, GPU cluster, MPI, nVidia, Physics, Programming techniques

February 15, 2011 by hgpu

Accelerating Quantum Chromodynamics Calculations with GPUs

Guochun Shi, Steven Gottlieb, Aaron Torok, Volodymyr Kindratenko

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Source codes

Tags: Conjugate gradient solver, CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, Package, Physics, QCD

February 15, 2011 by hgpu

Numerical Simulation of the Complex Ginzburg-Landau Equation on GPUs with CUDA

K.A. Hawick and D.P. Playne

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Tags: CUDA, Finite difference, nVidia, nVidia GeForce GTX 480, Partial differential equations, PDEs, Physics, Thermodynamics, Visualization

February 14, 2011 by hgpu

Data Parallel Three-Dimensional Cahn-Hilliard Field Equation Simulation on GPUs with CUDA

D.P. Playne and K.A. Hawick

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Tags: Alloys, CUDA, Finite difference, nVidia, Physics, Thermodynamics, Visualization

February 14, 2011 by hgpu

Modelling, simulating and visualising the Cahn-Hilliard-Cook field equation

K.A. Hawick and D.P.Playne

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Tags: Algorithms, Alloys, Finite difference, Partial differential equations, PDEs, Physics, Thermodynamics, Visualization

February 14, 2011 by hgpu

An FPGA-based Torus Communication Network

Marcello Pivanti, Sebastiano Fabio Schifano, Hubert Simma

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Tags: FPGA, High Energy Physics - Lattice, Network communications, Networks, Physics

February 14, 2011 by hgpu

Cluster and Fast-Update Simulations of Regular and Rewired Lattice Ising Models Using CUDA and Graphical Processing Units

K.A. Hawick, A.Leist and D.P.Playne

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Tags: CUDA, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, Physics

February 13, 2011 by hgpu

Visualising spins and clusters in regular and small-world Ising models with GPUs

A. Leist, D.P. Playne and K.A. Hawick

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Tags: CUDA, Ising model, nVidia, nVidia GeForce GTX 260, OpenGL, Physics, Visualization

February 13, 2011 by hgpu

Interactive visualisation of spins and clusters in regular and small-world Ising models with CUDA on GPUs

A. Leist, D.P. Playne and K.A. Hawick

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Tags: CUDA, Ising model, nVidia, nVidia GeForce GTX 260, OpenGL, Physics, Visualization

February 13, 2011 by hgpu

GPU-accelerated indirect boundary element method for voxel model analyses with fast multipole method

Shoji Hamada

Tags: CUDA, Electrodynamics, Fast multipole method, Laplace and Poisson equation, nVidia, nVidia GeForce GTX 295, Physics

February 11, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Using Graphics Processors to Accelerate Synthetic Aperture Sonar Imaging via Backpropagation

MuMax: a new high-performance micromagnetic simulation tool

Accelerating Cosmological Data Analysis with Graphics Processors

Accelerating Quantum Chromodynamics Calculations with GPUs

Numerical Simulation of the Complex Ginzburg-Landau Equation on GPUs with CUDA

Data Parallel Three-Dimensional Cahn-Hilliard Field Equation Simulation on GPUs with CUDA

Modelling, simulating and visualising the Cahn-Hilliard-Cook field equation

An FPGA-based Torus Communication Network

Cluster and Fast-Update Simulations of Regular and Rewired Lattice Ising Models Using CUDA and Graphical Processing Units

Visualising spins and clusters in regular and small-world Ising models with GPUs

Interactive visualisation of spins and clusters in regular and small-world Ising models with CUDA on GPUs

GPU-accelerated indirect boundary element method for voxel model analyses with fast multipole method

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

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

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