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A GPU-Based Implementation of Differential Evolution for Solving the Gene Regulatory Network Model Inference Problem

Luis E. Ramirez-Chavez, Carlos A. Coello Coello, Eduardo Rodriguez-Tello

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Tags: Bioinformatics, Biology, CUDA, Differential equations, Differential evolution, nVidia, nVidia GeForce GTX 460, Optimization

January 23, 2012 by hgpu

Scientific Computation on Graphics Processing Unit using CUDA

Pradip Narendrakumar Panchal

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Tags: Computer science, CUDA, Differential equations, FDTD, Finite difference, Finite-difference time-domain, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 280, Partial differential equations, PDEs, Thesis

January 23, 2012 by hgpu

GPGPU calculations of gas thermodynamic quantities

Igor Mracka, Peter Somora, Tibor Zacik

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Tags: CUDA, Differential equations, Fluid dynamics, nVidia, nVidia GeForce GTX 570, Tesla C2050

January 21, 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

Acceleration of real-life stencil codes on GPUs

Youcef Barigou

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Tags: Algorithms, Computer science, CUDA, Differential equations, Electrodynamics, FDTD, Finite-difference time-domain, Maxwell's equations, nVidia, Optimization

January 2, 2012 by hgpu

Numerical solution of PDEs with hybrid and heterogeneous computing models

Markus Hegland

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Tags: Algorithms, CUDA, Differential equations, Fluid dynamics, Heterogeneous systems, nVidia, nVidia GeForce GTX 295, Partial differential equations, PDEs, Physics, Plasma physics, Review

December 23, 2011 by hgpu

Water Surface Animation using Damped Wave Equation and CUDA Acceleration

Gennadiy Nikishkov, Yohei Nishidate

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Tags: CUDA, Differential equations, Finite difference, Fluid dynamics, nVidia, nVidia Quadro FX 3800, Wave equation

December 14, 2011 by hgpu

Multi-Science Applications with Single Codebase – GAMER – for Massively Parallel Architectures

Hemant Shukla, Hsi-Yu Schive, Tak-Pong Woo, Tzihong Chiueh

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Tags: Algorithms, Astrophysics, Benchmarking, CUDA, Differential equations, nVidia, Partial differential equations, PDEs, Physics, Rendering, Tesla C2050

December 10, 2011 by hgpu

Playdoh: A lightweight Python library for distributed computing and optimisation

Cyrille Rossant, Bertrand Fontaine, Dan F.M. Goodman

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Source codes

Tags: Computer science, CUDA, Differential equations, Distributed computing, Monte Carlo simulation, nVidia, nVidia GeForce GTX 295, Package, Partial differential equations, PDEs, Python

December 10, 2011 by hgpu

Performance of PETSc GPU Implementation with Sparse Matrix Storage Schemes

Pramod Kumbhar

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Tags: ATI, ATI FireStream, Computer science, CUDA, Differential equations, GPU cluster, nVidia, OpenCL, Partial differential equations, PDEs, Sparse matrix, Tesla C2050, Thesis

December 8, 2011 by hgpu

Towards a complete FEM-based simulation toolkit on GPUs: Geometric Multigrid solvers

Markus Geveler, Dirk Ribbrock, Dominik Goddeke, Peter Zajac, Stefan Turek

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Tags: Benchmarking, CUDA, Differential equations, FEM, Finite element method, Fluid dynamics, nVidia, nVidia GeForce GTX 285, Partial differential equations, PDEs, Sparse matrix

December 7, 2011 by hgpu

Implementation of the FDTD Method Based on Lorentz-Drude Dispersive Model on GPU for Plasmonics Applications

K.H. Lee, I. Ahmed, R.S.M. Goh, E.H. Khoo, E.P. Li, T.G.G. Hung

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Tags: CUDA, Differential equations, Electrodynamics, FDTD, Finite difference, Finite-difference time-domain, Maxwell's equations, nVidia, Tesla C2050

December 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

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high performance computing on graphics processing units: hgpu.org

A GPU-Based Implementation of Differential Evolution for Solving the Gene Regulatory Network Model Inference Problem

Scientific Computation on Graphics Processing Unit using CUDA

GPGPU calculations of gas thermodynamic quantities

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

Acceleration of real-life stencil codes on GPUs

Numerical solution of PDEs with hybrid and heterogeneous computing models

Water Surface Animation using Damped Wave Equation and CUDA Acceleration

Multi-Science Applications with Single Codebase – GAMER – for Massively Parallel Architectures

Playdoh: A lightweight Python library for distributed computing and optimisation

Performance of PETSc GPU Implementation with Sparse Matrix Storage Schemes

Towards a complete FEM-based simulation toolkit on GPUs: Geometric Multigrid solvers

Implementation of the FDTD Method Based on Lorentz-Drude Dispersive Model on GPU for Plasmonics Applications

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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