high performance computing on graphics processing units: hgpu.org

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Massive Parallel Implementation of ODE Solvers

Cyril Fischer

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Tags: Algorithms, CUDA, Differential equations, Mathematics, nVidia, nVidia GeForce GT 430, nVidia Quadro FX 4000, ODEs, Ordinary differential equations

February 27, 2013 by hgpu

Computation of Air-Vortices Based on GPU Technology: Optimizing and Parallelizing a Model for Wake-Vortex Prediction Using OpenCL

Erik Peldan

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Tags: Algorithms, Computer science, Differential equations, nVidia, OpenCL, Thesis

February 21, 2013 by hgpu

Fast Global Illumination for Interactive Volume Visualization

Yubo Zhang, Kwan-Liu Ma

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Tags: 3D Graphics and Realism, Computer science, CUDA, Differential equations, Diffusion equation, nVidia, nVidia GeForce GTX 460, Visualization

January 4, 2013 by hgpu

Programming CUDA and OpenCL: A Case Study Using Modern C++ Libraries

Denis Demidov, Karsten Ahnert, Karl Rupp, Peter Gottschling

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Source codes

Tags: ATI, ATI Radeon HD 7970, Computational Physics, Computer science, CUDA, Differential equations, Mathematical Software, nVidia, ODEs, OpenCL, Ordinary differential equations, Package, Tesla C2070

January 2, 2013 by hgpu

Single-Pass GPU-Raycasting for Structured Adaptive Mesh Refinement Data

Ralf Kaehler, Tom Abel

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Tags: Algorithms, Astrophysics, Cosmology, Differential equations, GLSL, Instrumentation and Methods for Astrophysics, KD-tree, nVidia, nVidia GeForce GTX 680, OpenGL, Rendering, Visualization

December 18, 2012 by hgpu

CUDACLAW: a Data Parallel Solution Framework for Hyperbolic PDEs

Hrag Gorune Krikor Ohannessian

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Tags: Acoustics, CUDA, Differential equations, Finite volume method, Hyperbolic PDEs, Mathematics, nVidia, nVidia GeForce GTX 460, Partial differential equations, PDEs, Tesla C2050, Wave equation

December 12, 2012 by hgpu

GPU accelerating the FEniCS Project

Fredrik Heffer Valdmanis

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Tags: Computer science, CUDA, Differential equations, Linear Algebra, nVidia, Partial differential equations, PDEs, Tesla C2070, Thesis

December 8, 2012 by hgpu

Energy efficiency vs. performance of the numerical solution of PDEs: an application study on a low-power ARM-based cluster

Dominik Goeddeke, Dimitri Komatitsch, Markus Geveler, Dirk Ribbrock, Nikola Rajovic, Nikola Puzovic, Alex Ramirez

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Tags: ARM, Differential equations, Energy-efficient computing, Fluid dynamics, Fluid simulation, Lattice Boltzmann model, nVidia, Partial differential equations, PDEs, Spectral elements

November 26, 2012 by hgpu

Accelerating the Gillespie Exact Stochastic Simulation Algorithm Using Hybrid Parallel Execution on Graphics Processing Units

Ivan Komarov, Roshan M. D'Souza

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Tags: Computer science, Differential equations, nVidia, nVidia GeForce GTX 480, Stochastic simulation

November 15, 2012 by hgpu

A GPU-Based Transient Stability Simulation Using Runge-Kutta Integration Algorithm

Zhijun Qin, Yunhe Hou

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Tags: Algorithms, Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 580, Sparse direct solvers

November 7, 2012 by hgpu

Numerical Simulation of the Frank-Kamenetskii PDE: GPU vs. CPU Computing

Charis Harley

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Tags: Algorithms, CUDA, Differential equations, Mathematics, Numerical simulation, nVidia, Partial differential equations, PDEs

November 1, 2012 by hgpu

Exploiting Limited Access Distance of ODE Systems for Parallelism and Locality in Explicit Methods

Matthias Korch

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Tags: Computer science, Differential equations, nVidia, nVidia GeForce GTX 580, ODEs, OpenCL, Ordinary differential equations, Partial differential equations, PDEs

October 2, 2012 by hgpu

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

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

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

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Massive Parallel Implementation of ODE Solvers

Computation of Air-Vortices Based on GPU Technology: Optimizing and Parallelizing a Model for Wake-Vortex Prediction Using OpenCL

Fast Global Illumination for Interactive Volume Visualization

Programming CUDA and OpenCL: A Case Study Using Modern C++ Libraries

Single-Pass GPU-Raycasting for Structured Adaptive Mesh Refinement Data

CUDACLAW: a Data Parallel Solution Framework for Hyperbolic PDEs

GPU accelerating the FEniCS Project

Energy efficiency vs. performance of the numerical solution of PDEs: an application study on a low-power ARM-based cluster

Accelerating the Gillespie Exact Stochastic Simulation Algorithm Using Hybrid Parallel Execution on Graphics Processing Units

A GPU-Based Transient Stability Simulation Using Runge-Kutta Integration Algorithm

Numerical Simulation of the Frank-Kamenetskii PDE: GPU vs. CPU Computing

Exploiting Limited Access Distance of ODE Systems for Parallelism and Locality in Explicit Methods

Recent source codes

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

ROCm's implementation of Gromacs

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

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