high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Mathematics

A GPU acceleration for FFT-based fast solvers for the integral equation

M. A. Francavilla, E. A. Attardo, F. Vipiana, G. Vecchi

Tags: FFT, Integral equations, Mathematics

May 23, 2011 by hgpu

Solving a kind of BVP for ODEs on heterogeneous CPU + CUDA-enabled GPU systems

Przemyslaw Stpiczynski, Joanna Potiopa

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Tags: CUDA, Mathematics, nVidia, nVidia GeForce GTX 260, ODEs, Ordinary differential equations

May 17, 2011 by hgpu

Understanding the efficiency of parallel incomplete Cholesky preconditioners on the performance of ICCG solvers for multi-core and GPU systems

H. Moghnieh, D.A. Lowther

Tags: Algorithms, Conjugate gradient solver, Mathematics

May 14, 2011 by hgpu

Parallel preconditioned conjugate gradient algorithm on GPU

Rudi Helfenstein, Jonas Koko

Tags: Algorithms, Conjugate gradient solver, Mathematics, Sparse matrix

May 10, 2011 by hgpu

The fast evaluation of hidden Markov models on GPU

Jun Li, Shuangping Chen, Yanhui Li

Tags: Algorithms, Computer science, nVidia, nVidia GeForce 9800 GTX, Statistics

April 12, 2011 by hgpu

Scandalously Parallelizable Mesh Generation

David Bortz, Andrew Christlieb

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Tags: Algorithms, Mathematics, Numerical Analysis, Partial differential equations, PDEs

March 29, 2011 by hgpu

Data Assimilation using a GPU Accelerated Path Integral Monte Carlo Approach

John C. Quinn, Henry D. I. Abarbanel

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Tags: Computational Physics, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 460, Physics, Probability, Statistics

March 28, 2011 by hgpu

Some of the What?, Why?, How?, Who? and Where? of Graphics Processing Unit Computing for Bayesian Analysis

Marc A. Suchard, Chris Holmes, Mike West

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Tags: Bayesian, CUDA, Mathematics, nVidia, Review, Statistics

March 4, 2011 by hgpu

Understanding GPU Programming for Statistical Computation: Studies in Massively Parallel Massive Mixtures

Marc A. Suchard, Quanli Wang, Cliburn Chan, Jacob Frelinger, Andrew Cron, Mike West

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Source codes

Tags: Bayesian, CUDA, Mathematics, nVidia, nVidia GeForce 9600 M GT, nVidia GeForce GTX 285, Package, Statistics, Tesla C1060

March 4, 2011 by hgpu

Application of Assembly of Finite Element Methods on Graphics Processors for Real-Time Elastodynamics

Cris Cecka, Adrian Lew, Eric Darve

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Tags: CUDA, Finite element method, Mathematics, nVidia, nVidia GeForce GTX 480, Partial differential equations, PDEs

March 2, 2011 by hgpu

Mixed-Precision GPU-Multigrid Solvers with Strong Smoothers

Dominik Goddeke, Robert Strzodka

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Tags: CUDA, Mathematics, Mixed precision, nVidia, nVidia GeForce GTX 280, Partial differential equations, PDEs

March 2, 2011 by hgpu

Finite Element Integration on GPUs

Matthew G. Knepley, Andy R. Terrel

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Tags: CUDA, Finite element method, Mathematical Software, Mathematics, Numerical Analysis, nVidia, nVidia GeForce GTX 285

March 2, 2011 by hgpu

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Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark

MapReduce for Counting Word Frequencies with MPI and GPUs

CoDL: Efficient CPU-GPU Co-execution for Deep Learning Inference on Mobile Devices

SYCLCOMP Utilities

On the Compilation Performance of Current SYCL Implementations

M1 GPUs for (scientific) computations in C++

Seamless GPU acceleration for C++ based physics with the Metal Shading Language on Apple’s M series unified chips

CUB: Cooperative primitives for CUDA C++

Onesweep: A Faster Least Significant Digit Radix Sort for GPUs

Simulator and workload generator for Edge-to-Cloud environments

FELARE: Fair Scheduling of Machine Learning Applications on Heterogeneous Edge Systems

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

A GPU acceleration for FFT-based fast solvers for the integral equation

Solving a kind of BVP for ODEs on heterogeneous CPU + CUDA-enabled GPU systems

Understanding the efficiency of parallel incomplete Cholesky preconditioners on the performance of ICCG solvers for multi-core and GPU systems

Parallel preconditioned conjugate gradient algorithm on GPU

The fast evaluation of hidden Markov models on GPU

Scandalously Parallelizable Mesh Generation

Data Assimilation using a GPU Accelerated Path Integral Monte Carlo Approach

Some of the What?, Why?, How?, Who? and Where? of Graphics Processing Unit Computing for Bayesian Analysis

Understanding GPU Programming for Statistical Computation: Studies in Massively Parallel Massive Mixtures

Application of Assembly of Finite Element Methods on Graphics Processors for Real-Time Elastodynamics

Mixed-Precision GPU-Multigrid Solvers with Strong Smoothers

Finite Element Integration on GPUs

Recent source codes

Rodinia Benchmarks for DPC++

DCA++: a state of the art implementation of the dynamical cluster approximation

tntorch - Tensor Network Learning with PyTorch

Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark

MapReduce for Counting Word Frequencies with MPI and GPUs

CoDL: Efficient CPU-GPU Co-execution for Deep Learning Inference on Mobile Devices

SYCLCOMP Utilities

M1 GPUs for (scientific) computations in C++

CUB: Cooperative primitives for CUDA C++

Simulator and workload generator for Edge-to-Cloud environments

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