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Accelerating GPU Programs by Reducing Irregular Control Flow and Memory Access

Tomohiro Okuyama

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Tags: Algorithms, Biophysics, CUDA, Differential equations, Heterogeneous systems, nVidia, ODEs, Ordinary differential equations, Physics, Tesla C2070, Thesis

June 18, 2013 by hgpu

GPU Programming for Physics Applications

Matthew Grossman

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Tags: CUDA, Differential equations, nVidia, nVidia GeForce GT 640 M, ODEs, Ordinary differential equations, Physics, Thesis

May 19, 2013 by hgpu

GPU-based Numerical Integration in the Partition of Unity Method

Sebastian Kanis

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Tags: Computer science, CUDA, Differential equations, Mathematics, nVidia, nVidia GeForce GTX 560 Ti, Partial differential equations, PDEs, Tesla K20, Thesis

May 17, 2013 by hgpu

CUDA implementation of the solution of a system of linear equations arising in an hp-Finite Element code

Javier Oses Villanueva

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Tags: Algorithms, Computer science, CUDA, Differential equations, Finite element method, Laplace and Poisson equation, Linear Algebra, nVidia, Thesis

May 15, 2013 by hgpu

An Implementation of the Discontinuous Galerkin Method on Graphics Processing Units

Martin Fuhry

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Tags: Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 580, Package, Partial differential equations, PDEs, Thesis

May 11, 2013 by hgpu

Non-symmetric magnetohydrostatic equilibria: a multigrid approach

D. MacTaggart, A. Elsheikh, J. A. McLaughlin, R. D. Simitev

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Tags: Astrophysics, CUDA, Differential equations, Electrodynamics, Finite difference, Magnetohydrodynamics, nVidia, Partial differential equations, PDEs

May 8, 2013 by hgpu

Numerical Modeling of Atmospheric Vortices

Sudeep Dasari, David Murphy, Colin Redman

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Tags: CUDA, Differential equations, Earth and Space Sciences, nVidia, ODEs, Ordinary differential equations

April 25, 2013 by hgpu

High Performance Computing with GPUs

Nikita Vakulin, Riley Shaw, Timothy Livingston

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Tags: Computer science, CUDA, Differential equations, Finite element method, nVidia, Package

April 25, 2013 by hgpu

Exploring complex quantum systems with a hybrid CPU-GPU computing platform

A. Yu. Polyakov, S. Denisov, P. Hanggi

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Tags: CUDA, Differential equations, nVidia, Physics, Quantum Physics, Tesla M2050

April 7, 2013 by hgpu

An application of graphical numerical accelerators in simulations of ion-transport through biological membranes

A. Gorecki

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Tags: Chemistry, CUDA, Differential equations, Electrochemistry, nVidia, ODEs, Ordinary differential equations, Tesla C870

March 26, 2013 by hgpu

Time-stepping methods for the simulation of the self-assembly of nano-crystals in Matlab on a GPU

M. D. Korzec, T. Ahnert

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Tags: CUDA, Differential equations, Mathematics, Numerical simulation, nVidia, nVidia GeForce GTX 260, Partial differential equations, PDEs, Spectral methods

March 20, 2013 by hgpu

Matrix-free GPU implementation of a preconditioned conjugate gradient solver for anisotropic elliptic PDEs

Eike Mueller, Xu Guo, Robert Scheichl, Sinan Shi

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Tags: Algorithms, Computer science, Conjugate gradient solver, CUDA, Differential equations, Numerical Analysis, nVidia, Partial differential equations, PDEs, Tesla M2090

March 2, 2013 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

Accelerating GPU Programs by Reducing Irregular Control Flow and Memory Access

GPU Programming for Physics Applications

GPU-based Numerical Integration in the Partition of Unity Method

CUDA implementation of the solution of a system of linear equations arising in an hp-Finite Element code

An Implementation of the Discontinuous Galerkin Method on Graphics Processing Units

Non-symmetric magnetohydrostatic equilibria: a multigrid approach

Numerical Modeling of Atmospheric Vortices

High Performance Computing with GPUs

Exploring complex quantum systems with a hybrid CPU-GPU computing platform

An application of graphical numerical accelerators in simulations of ion-transport through biological membranes

Time-stepping methods for the simulation of the self-assembly of nano-crystals in Matlab on a GPU

Matrix-free GPU implementation of a preconditioned conjugate gradient solver for anisotropic elliptic PDEs

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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