high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Mathematics

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

gpustats: GPU Library for Statistical Computing in Python

Andrew Cron, Wes McKinney

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Source codes

Tags: Algorithms, Bayesian, Code generation, CUDA, Mathematics, nVidia, nVidia GeForce GTS 250, OpenCL, Package, Probability, Python, Statistics

October 13, 2011 by hgpu

Heterogeneous NPACI-Rocks/MPI/CUDA distributed multi-GPGPU application for seeking counterexamples to Beal’s Conjecture: MPI/CUDA integration component

Sudhir Balasubramanian

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Tags: Algorithms, CUDA, Heterogeneous systems, Mathematics, MPI, nVidia, nVidia GeForce 8400 GS, Thesis

October 7, 2011 by hgpu

High-Order Discontinuous Galerkin Methods by GPU Metaprogramming

Andreas Klockner, Timothy Warburton, Jan S. Hesthaven

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Tags: CUDA, Differential equations, Mathematics, nVidia, nVidia GeForce GTX 280, Python, Tesla T10

October 5, 2011 by hgpu

Optimizing OpenCL Kernels for Iterative Statistical Applications on GPUs

Thilina Gunarathne, Bimalee Salpitikorala, Arun Chauhan, Geoffrey Fox

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Tags: Algorithms, Code generation, Computer science, nVidia, OpenCL, Optimization, Statistics, Tesla C1060

September 25, 2011 by hgpu

Fast Mersenne prime testing on the GPU

Andrew Thall

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Tags: Algorithms, Benchmarking, CUDA, Mathematical Software, Mathematics, nVidia, nVidia GeForce GTX 480, Optimization, Performance, Tesla C2050

September 15, 2011 by hgpu

Unified Tables for Exponential and Logarithm Families

Christopher Kumar Anand, Anuroop Sharma

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Tags: Algorithms, Cell processor, Computer science, Elementary functions, Mathematics

September 11, 2011 by hgpu

Implementation of Sequential Importance Sampling in GPGPU

Keisuke Hayashi, Masaya M. Saito, Ryo Yoshida, Tomoyuki Higuchi

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Tags: Algorithms, CUDA, Mathematics, Monte Carlo simulation, nVidia, Tesla C870

September 1, 2011 by hgpu

GPU implementation of a Helmholtz Krylov Solver preconditioned by a shifted Laplace multigrid method

H. Knibbe, C. W. Oosterlee, C. Vuik

Tags: CUDA, Finite difference, Mathematics, nVidia

August 8, 2011 by hgpu

Computing the Mertens function on a GPU

Eugene Kuznetsov

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Tags: Mathematics, Number Theory, nVidia, nVidia GeForce GTX 560

August 2, 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

Applications

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

gpustats: GPU Library for Statistical Computing in Python

Heterogeneous NPACI-Rocks/MPI/CUDA distributed multi-GPGPU application for seeking counterexamples to Beal’s Conjecture: MPI/CUDA integration component

High-Order Discontinuous Galerkin Methods by GPU Metaprogramming

Optimizing OpenCL Kernels for Iterative Statistical Applications on GPUs

Fast Mersenne prime testing on the GPU

Unified Tables for Exponential and Logarithm Families

Implementation of Sequential Importance Sampling in GPGPU

GPU implementation of a Helmholtz Krylov Solver preconditioned by a shifted Laplace multigrid method

Computing the Mertens function on a GPU

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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