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hgpu.org » Ordinary differential equations

An OpenCL implementation for the solution of TDSE on GPU and CPU architectures

Cathal O'Broin, Lampros A. A. Nikolopoulos

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Tags: Algorithms, ATI, ATI FirePro V7800, Computational Physics, Differential equations, nVidia, ODEs, OpenCL, Ordinary differential equations, Physics, Quantum Physics, Tesla S1070

January 31, 2012 by hgpu

An Adaptive Step Size GPU ODE Solver for Simulating the Electric Cardiac Activity

Victor M. Garcia, A. Liberos, A.M. Climent, A. Vidal, J. Millet, A. Gonzalez

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Tags: CUDA, Differential equations, Heart, Medicine, nVidia, ODEs, Ordinary differential equations

January 17, 2012 by hgpu

On the numerical solution of chaotic dynamical systems using extend precision floating point arithmetic and very high order numerical methods

Scott A. Sarra, Clyde Meador

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Tags: Chaotic Dynamics, CUDA, Extended precision, nVidia, nVidia GeForce GTX 280, ODEs, Ordinary differential equations, Package, Physics

December 15, 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

Odeint – Solving ordinary differential equations in C++

Karsten Ahnert, Mario Mulansky

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Tags: Chaotic Dynamics, Computational Physics, Computer science, CUDA, Differential equations, Mathematical Software, nVidia, ODEs, Ordinary differential equations, Package

October 18, 2011 by hgpu

FastMag: Fast micromagnetic simulator for complex magnetic structures

R. Chang, S. Li, M. V. Lubarda, B. Livshitz, V. Lomakin

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Tags: CUDA, Electromagnetics simulation, nVidia, nVidia GeForce GTX 480, ODEs, Ordinary differential equations, Physics, Tesla C1060, Tesla C2070

August 31, 2011 by hgpu

Potential contribution of CNN-based solving of stiff ODEs and PDEs to enabling real-time Computational Engineering

J.C. Chedjou, K. Kyamakya, U.A. Khan, M.A. Latif

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Tags: Cellular neural networks, CNN, Computational Engineering, Computer science, Differential equations, DSP, FPGA, Maxwell's equations, Neural networks, ODEs, Optimization, Ordinary differential equations, Partial differential equations, PDEs

August 2, 2011 by hgpu

Near-real-time simulations of biolelectric activity in small mammalian hearts using graphical processing units

E.J. Vigmond, P.M. Boyle, L.J. Leon, G. Plank

Tags: Biology, Heart, Medicine, ODEs, Ordinary differential equations, Partial differential equations, PDEs

July 27, 2011 by hgpu

Automatic code generation for solvers of cardiac cellular membrane dynamics in GPUs

R.M. Amorim, B.M. Rocha, F.O. Campos, R.W. dos Santos

Tags: Code generation, Computer science, Heart, Medicine, ODEs, Ordinary differential equations

July 8, 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

GPU Accelerated Cardiac Electrophysiology

F. Lionetti

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Tags: CUDA, Electrocardiograms simulation, Heart, Medicine, nVidia, nVidia GeForce GTX 295, ODEs, Ordinary differential equations, Thesis

March 14, 2011 by hgpu

GPU Acceleration of Runge-Kutta Integrators

Lawrence Murray

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Tags: Algorithms, CUDA, Mathematics, nVidia, ODEs, Ordinary differential equations

February 22, 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

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high performance computing on graphics processing units: hgpu.org

An OpenCL implementation for the solution of TDSE on GPU and CPU architectures

An Adaptive Step Size GPU ODE Solver for Simulating the Electric Cardiac Activity

On the numerical solution of chaotic dynamical systems using extend precision floating point arithmetic and very high order numerical methods

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

Odeint – Solving ordinary differential equations in C++

FastMag: Fast micromagnetic simulator for complex magnetic structures

Potential contribution of CNN-based solving of stiff ODEs and PDEs to enabling real-time Computational Engineering

Near-real-time simulations of biolelectric activity in small mammalian hearts using graphical processing units

Automatic code generation for solvers of cardiac cellular membrane dynamics in GPUs

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

GPU Accelerated Cardiac Electrophysiology

GPU Acceleration of Runge-Kutta Integrators

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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