high performance computing on graphics processing units: hgpu.org

hgpu.org » Multilevel summation

Scalable Multi-GPU Simulation of Long-Range Molecular Dynamics

Marcos Novalbos, Jaime Gonzalez, Miguel A. Otaduy, Roberto Martinez Benito, Alberto Sanchez

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Tags: Algorithms, Biomolecules, Chemistry, CUDA, Electrostatic potential, Electrostatics, FFT, Molecular dynamics, Multilevel summation, N-body simulation, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX Titan

September 15, 2014 by hgpu

Multilevel summation of electrostatic potentials using graphics processing units

David J. Hardy, John E. Stone, Klaus Schulten

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Tags: Chemistry, CUDA, Electrostatics, Molecular dynamics, Molecular modeling, Multilevel summation, nVidia, nVidia GeForce GTX 280, Physics, Tesla C870, Tesla D870

November 2, 2010 by hgpu

Accelerating molecular modeling applications with graphics processors

John E. Stone, James C. Phillips, Peter L. Freddolino, David J. Hardy, Leonardo G. Trabuco, Klaus Schulten

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Tags: Chemistry, Computational chemistry, CUDA, Electrostatic potential, Molecular dynamics, Molecular modeling, Multilevel summation, nVidia, nVidia GeForce 8800 GTX

October 30, 2010 by hgpu

ParTeCL: parallel testing using OpenCL

Snowflake: A Lightweight Portable Stencil DSL

DeepMon: Mobile GPU-based Deep Learning Framework for Continuous Vision Applications

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high performance computing on graphics processing units: hgpu.org

Scalable Multi-GPU Simulation of Long-Range Molecular Dynamics

Multilevel summation of electrostatic potentials using graphics processing units

Accelerating molecular modeling applications with graphics processors

Recent source codes

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International Conference on Intelligent Autonomous Systems (ICIAS), 2018

International Conference on Robotics and Intelligent System (ICRIS), 2018

International Conference on Image and Graphics Processing (ICIGP), 2018

8th International Conference on Bioscience, Biochemistry and Bioinformatics (ICBBB), 2018

The 10th International Conference on Computer Modeling and Simulation (ICCMS), 2018