high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Mathematics

Multi-thread implementations of the lattice Boltzmann method on non-uniform grids for CPUs and GPUs

M. Schonherr, K. Kucher, M. Geier, M. Stiebler, S. Freudiger, M. Krafczyk

Tags: CUDA, Lattice Boltzmann model, Mathematics, nVidia

June 7, 2011 by hgpu

Bayesian Sparsity-Path-Analysis of Genetic Association Signal using Generalized t Priors

Anthony Lee, Francois Caron, Arnaud Doucet, Chris Holmes

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Tags: CUDA, Mathematics, nVidia, nVidia GeForce 8800 GT, Statistics

June 3, 2011 by hgpu

Hierarchical fractional-step approximations and parallel kinetic Monte Carlo algorithms

Giorgos Arampatzis, Markos A. Katsoulakis, Petr Plechac, Michela Taufer, Lifan Xu

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Tags: CUDA, Mathematics, Monte Carlo simulation, Numerical Analysis, nVidia, Tesla C2050, Tesla C2070

May 25, 2011 by hgpu

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

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Multi-thread implementations of the lattice Boltzmann method on non-uniform grids for CPUs and GPUs

Bayesian Sparsity-Path-Analysis of Genetic Association Signal using Generalized t Priors

Hierarchical fractional-step approximations and parallel kinetic Monte Carlo algorithms

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

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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