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

LM-LSTM-CRF: Efficient and Effective: Empower Sequence Labeling with Task-Aware Language Model

Empower Sequence Labeling with Task-Aware Neural Language Model

End-to-end Deep Learning of Optimization Heuristics

Harp-DAAL: A collective communication library plugined into Hadoop from Indiana University

Benchmarking Harp-DAAL: High Performance Hadoop on KNL Clusters

Real-Time Rendering of Molecular Dynamics Simulation Data: A Tutorial

eccCL: Parallelized GPU implementation of Ensemble Classifier Chains

eccCL: parallelized GPU implementation of Ensemble Classifier Chains

Scaling Deep Learning on GPU and Knights Landing clusters

Gpufit: GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

Gpufit: An open-source toolkit for GPU-accelerated curve fitting

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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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LM-LSTM-CRF: Efficient and Effective: Empower Sequence Labeling with Task-Aware Language Model

End-to-end Deep Learning of Optimization Heuristics

Harp-DAAL: A collective communication library plugined into Hadoop from Indiana University

Real-Time Rendering of Molecular Dynamics Simulation Data: A Tutorial

eccCL: Parallelized GPU implementation of Ensemble Classifier Chains

Scaling Deep Learning on GPU and Knights Landing clusters

Gpufit: GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

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10th International Conference on Computer and Automation Engineering (ICCAE), 2018

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