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Exposing Fine-Grained Parallelism in Algebraic Multigrid Methods

Nathan Bell, Steven Dalton, Luke N. Olson

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Tags: Algorithms, CUDA, Mathematics, nVidia, Package, Sparse matrix, Tesla C2050

April 11, 2012 by hgpu

Modular Arithmetic for Solving Linear Equations on the GPU

J. Hladik, I. Simecek

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Tags: Algorithms, Linear Algebra, Mathematics, Modular arithmetic, nVidia, OpenCL

April 11, 2012 by hgpu

Developing a CUDA solver for large sparse matrices for MARIN

Martijn de Jong

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Tags: Computer science, CUDA, Mathematics, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 580, nVidia Quadro NVS 295, Thesis

March 16, 2012 by hgpu

GPU acceleration of the particle filter: the Metropolis resampler

Lawrence Murray

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Tags: CUDA, Mathematics, nVidia, Statistics, Tesla S2050

March 1, 2012 by hgpu

Solving Bivariate Polynomial Systems on a GPU

Marc Moreno Maza, Wei Pan

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Tags: Algorithms, CUDA, FFT, Mathematics, nVidia, nVidia GeForce GTX 285, Optimization, Probability, Tesla C2050

January 25, 2012 by hgpu

GPU-based parallel solver via the Kantorovich theorem for the nonlinear Bernstein polynomial systems

Feifei Wei, Jieqing Feng, Hongwei Lin

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Tags: Algorithms, CUDA, Mathematics, Nonlinear Sciences, nVidia, nVidia GeForce GTX 280

January 13, 2012 by hgpu

Applying OOC Techniques in the Reduction to Condensed Form for Very Large Symmetric Eigenproblems on GPUs

Davor Davidovic, Enrique S. Quintana-Orti

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Tags: Algorithms, CUBLAS, CUDA, Linear Algebra, Mathematics, nVidia, Tesla C2050

January 6, 2012 by hgpu

High-performance polynomial GCD computations on graphics processors

Pavel Emeliyanenko

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Tags: Algorithms, CUDA, Mathematics, Modular arithmetic, nVidia, nVidia GeForce GTX 580

December 16, 2011 by hgpu

GPU-based solution of Continuous Time Markov Chains using CUSP

Nicholas Dingle

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Tags: CUDA, Mathematics, nVidia, Probability, Tesla C2050

December 7, 2011 by hgpu

Efficient Two-Level Preconditionined Conjugate Gradient Method on the GPU

Rohit Gupta, Martin B. van Gijzen, Kees Vuik

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Tags: Algorithms, Conjugate gradient solver, CUDA, Mathematics, nVidia, Tesla C2070

December 7, 2011 by hgpu

Efficiently Computing Tensor Eigenvalues on a GPU

Grey Ballard, Tamara Kolda, Todd Plantenga

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Tags: Algorithms, CUDA, Mathematics, nVidia, Tesla C2050

November 12, 2011 by hgpu

The CUDA implementation of the method of lines for the curvature dependent flows

Tomas Oberhuber, Atsushi Suzuki, Vitezslav Zabka

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Tags: Algorithms, CUDA, Differential equations, Finite volume method, Image processing, Mathematics, nVidia, nVidia GeForce GTX 280, ODEs, Ordinary differential equations

October 27, 2011 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

Exposing Fine-Grained Parallelism in Algebraic Multigrid Methods

Modular Arithmetic for Solving Linear Equations on the GPU

Developing a CUDA solver for large sparse matrices for MARIN

GPU acceleration of the particle filter: the Metropolis resampler

Solving Bivariate Polynomial Systems on a GPU

GPU-based parallel solver via the Kantorovich theorem for the nonlinear Bernstein polynomial systems

Applying OOC Techniques in the Reduction to Condensed Form for Very Large Symmetric Eigenproblems on GPUs

High-performance polynomial GCD computations on graphics processors

GPU-based solution of Continuous Time Markov Chains using CUSP

Efficient Two-Level Preconditionined Conjugate Gradient Method on the GPU

Efficiently Computing Tensor Eigenvalues on a GPU

The CUDA implementation of the method of lines for the curvature dependent flows

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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