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Implementation of PDE models of cardiac dynamics on GPUs using OpenCL

Christopher D. Marcotte, Roman O. Grigoriev

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Tags: Chaotic Dynamics, Computational Physics, Nonlinear Sciences, nVidia, nVidia GeForce GTX 680, OpenCL, Partial differential equations, PDEs, Physics

September 9, 2013 by hgpu

Dawn of GPU Era-Potentials of Chaos Theory

Saurabh Maniktala, Anisha Goel, A. B. Patki, R. C. Meharde

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Tags: Chaotic Dynamics, Computer science, CUDA, nVidia, nVidia GeForce 9400 GT

October 24, 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

Mapping the Arnold web with a graphic processing unit

A. Seibert, S. Denisov, Alexey V. Ponomarev, P. Hanggi

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Tags: Chaotic Dynamics, Computational Physics, CUDA, Nonlinear Sciences, nVidia, Physics, Tesla M2050

December 3, 2011 by hgpu

GPU Accelerated Numerical Solutions to Chaotic PDEs

J.R. Seaton, J.C Sprott

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Tags: Algorithms, Chaotic Dynamics, Differential equations, Nonlinear Sciences, nVidia, Partial differential equations, PDEs, Physics, Tesla C870

December 1, 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

Mapping the Arnold web with a GPU-supercomputer

A. Seibert, S. Denisov, Alexey V. Ponomarev, P. Hanggi

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Tags: Chaotic Dynamics, Computational Physics, CUDA, Nonlinear Sciences, nVidia, Physics, Tesla M2050

July 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

Implementation of PDE models of cardiac dynamics on GPUs using OpenCL

Dawn of GPU Era-Potentials of Chaos Theory

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

Mapping the Arnold web with a graphic processing unit

GPU Accelerated Numerical Solutions to Chaotic PDEs

Odeint – Solving ordinary differential equations in C++

Mapping the Arnold web with a GPU-supercomputer

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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