high performance computing on graphics processing units: hgpu.org

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Dynamic Parallelism in GPU Optimized Barnes Hut Trees for Molecular Dynamics Simulations

Melisa Carranza Zuniga

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Tags: Algorithms, Biology, Biomolecules, Biophysics, Chemistry, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Physics, Thesis

August 26, 2017 by hgpu

eccCL: parallelized GPU implementation of Ensemble Classifier Chains

Mona Riemenschneider, Alexander Herbst, Ari Rasch, Sergei Gorlatch, Dominik Heider

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Tags: Biology, Computer science, Java, Next-Generation sequencing, nVidia, OpenCL, Package, R, Tesla K20

August 26, 2017 by hgpu

Simulating the Cardinal Movements of Childbirth Using Finite Element Analysis on the Graphics Processing Unit

Zelimkhan Gerikhanov

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Tags: AMD Radeon HD 8970 M, ATI, Biology, Biomechanics, FEM, Finite element method, Medicine, MRI, OpenCL, Thesis

August 17, 2017 by hgpu

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

Adrian Przybylski, Bjorn Thiel, Jan Keller-Findeisen, Bernd Stock, Mark Bates

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Tags: Biology, Computer science, CUDA, Microscopy, nVidia, nVidia GeForce GTX 1080, Package, Python

August 17, 2017 by hgpu

Smith-Waterman Acceleration in Multi-GPUs: A Performance per Watt Analysis

Jesus Perez Serrano, Edans Flavius De Oliveira Sandes, Alba Cristina Magalhaes Alves de Melo, Manuel Ujaldon

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Tags: Bioinformatics, Biology, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 980, Performance, Smith-Waterman algorithm

June 10, 2017 by hgpu

DeepMetabolism: A Deep Learning System to Predict Phenotype from Genome Sequencing

Weihua Guo, You Xu, Xueyang Feng

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Tags: Biology, Computer science, Deep learning, Medicine, nVidia, nVidia GeForce GTX 1080, Package, Python, TensorFlow

May 11, 2017 by hgpu

Exploration of cyber-physical systems for GPGPU computer vision-based detection of biological viruses

Pascal Libuschewski

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Tags: Biology, Computer vision, Design space exploration, Microscopy, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 560 Ti, nVidia Quadro NVS 3100 M, OpenCL, Thesis, Visualization

April 20, 2017 by hgpu

A Domain Specific Language for Performance Portable Molecular Dynamics Algorithms

William R. Saunders, James Grant, Eike H. Muller

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Tags: Algorithms, Biology, Chemistry, Code generation, Computer science, CUDA, Differential equations, DSL, Molecular dynamics, nVidia, Package, Partial differential equations, PDEs, Physics, Python, Tesla K20

April 15, 2017 by hgpu

Exploiting Multi-level Parallelism on a Many-core System for the Application of Hyperheuristics to a Molecular Docking Problem

Jose M. Cecilia, Jose-Matias, Cutillas-Lozano, Domingo Gimenez, Baldomero Imbernon

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Tags: Bioinformatics, Biology, Chemistry, Intel Xeon Phi, Metaheuristics, molecular docking

March 20, 2017 by hgpu

First Experiences Optimizing Smith-Waterman on Intel’s Knights Landing Processor

Enzo Rucci, Carlos Garcia, Guillermo Botella, Armando De Giusti, Marcelo Naiouf, Manuel Prieto-Matias

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Tags: Bioinformatics, Biology, Computer science, Intel Xeon Phi, Sequence alignment, Smith-Waterman algorithm

February 26, 2017 by hgpu

Analysis and implementation of a BLAST-Like algorithm for MIC architectures

Felipe Sulser Larraz

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Tags: Benchmarking, Bioinformatics, Biology, Computer science, Databases, Filtering, Intel Xeon Phi, Sequence alignment, Smith-Waterman algorithm, Thesis

February 2, 2017 by hgpu

Using efficient parallelization in Graphic Processing Units to parameterize stochastic fire propagation models

Monica Denham, Karina Laneri, Juan Manuel Morales

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Tags: Biology, CUDA, Earth and Space Sciences, nVidia, nVidia GeForce GTX 780, nVidia GeForce GTX Titan, Package, Tesla C2070, Tesla K40

January 16, 2017 by hgpu

Page 1 of 3812 3 4 5...10 20 30...»Last »

ZZGemmOoc: GPU GEMM out-of-core solvers

Out-of-core Implementation for Accelerator Kernels on Heterogeneous Clouds

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

Empower Sequence Labeling with Task-Aware Neural Language Model

styletransfer: Real-time neural style transfer via meta networks

Meta Networks for Neural Style Transfer

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

GARDENIA: Graph Analytics Repository for Designing Next-Generation Accelerators

GARDENIA: A Domain-specific Benchmark Suite for Next-generation Accelerators

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* * *

2018

February

2-42018

Phuoc Island, Vietnam

The 2nd International Conference on Machine Learning and Soft Computing (ICMLSC), 2018

2018

February

24-26

Brisbane, Australia

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

2018

February

24-26

Singapore

The 2nd International Conference on Mechanical, Aeronautical and Automotive Engineering (ICMAA), 2018

2018

March

16-19

Guiyang, China

The 2nd International Conference on Cryptography, Security and Privacy (ICCSP), 2018

2018

March

16-19

Guiyang, China

The 3rd International Conference on Multimedia and Image Processing (ICMIP), 2018

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high performance computing on graphics processing units: hgpu.org

Applications

Dynamic Parallelism in GPU Optimized Barnes Hut Trees for Molecular Dynamics Simulations

eccCL: parallelized GPU implementation of Ensemble Classifier Chains

Simulating the Cardinal Movements of Childbirth Using Finite Element Analysis on the Graphics Processing Unit

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

Smith-Waterman Acceleration in Multi-GPUs: A Performance per Watt Analysis

DeepMetabolism: A Deep Learning System to Predict Phenotype from Genome Sequencing

Exploration of cyber-physical systems for GPGPU computer vision-based detection of biological viruses

A Domain Specific Language for Performance Portable Molecular Dynamics Algorithms

Exploiting Multi-level Parallelism on a Many-core System for the Application of Hyperheuristics to a Molecular Docking Problem

First Experiences Optimizing Smith-Waterman on Intel’s Knights Landing Processor

Analysis and implementation of a BLAST-Like algorithm for MIC architectures

Using efficient parallelization in Graphic Processing Units to parameterize stochastic fire propagation models

Recent source codes

ZZGemmOoc: GPU GEMM out-of-core solvers

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

styletransfer: Real-time neural style transfer via meta networks

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

GARDENIA: Graph Analytics Repository for Designing Next-Generation Accelerators

Most viewed papers (last 30 days)

Featured events

The 2nd International Conference on Machine Learning and Soft Computing (ICMLSC), 2018

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

The 2nd International Conference on Mechanical, Aeronautical and Automotive Engineering (ICMAA), 2018

The 2nd International Conference on Cryptography, Security and Privacy (ICCSP), 2018

The 3rd International Conference on Multimedia and Image Processing (ICMIP), 2018