high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Medicine

Research on Parallel DVH Statistic Based on CUDA

Yangping Wang, Lian Li, Jianwu Dang, Chong Deng, Xiaogang Du

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Tags: Computed tomography, CT, CUDA, Medicine, nVidia, nVidia GeForce GTX 650 Ti, Radiotherapy

July 30, 2014 by hgpu

High performance MRI simulations of motion on multi-GPU systems

Christos G Xanthis, Ioannis E Venetis, Anthony H Aletras

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Tags: CUDA, Magnetic resonance imaging, Medicine, MRI, nVidia, Physics, Tesla C2070, Tesla C2075

July 6, 2014 by hgpu

Molecular dynamics simulations through GPU video games technologies

Styliani Loukatou, Louis Papageorgiou, Paraskevas Fakourelis, Arianna Filntisi, Eleftheria Polychronidou, Ioannis Bassis, Vasileios Megalooikonomou, Wojciech Makalowski, Dimitrios Vlachakis, Sophia Kossida

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Tags: Bioinformatics, Biology, Chemistry, CUDA, Medicine, Molecular dynamics, nVidia, OpenCL, Physics

July 4, 2014 by hgpu

Various String Matching Algorithms for DNA Sequences to Detect Breast Cancer using CUDA Processors

Nagaveni V, G T Raju

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Databases, Medicine, nVidia, String matching, Tesla C2070

June 28, 2014 by hgpu

GPU-Accelerated Dynamic Functional Connectivity Analysis for Functional MRI Data Using OpenCL

D. Akgün, Ü. Sakoğlu, M. Mete, J. Esquivel, B. Adinoff

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Tags: Biology, Magnetic resonance imaging, Medicine, MRI, Neuroscience, nVidia, nVidia GeForce GTX 660, OpenCL

June 9, 2014 by hgpu

Efficient 3D Isotropic Volume Reconstruction Based On 2D Localized Ultrasound Images

J.-B. Keck, M. Chabanas

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 590, nVidia GeForce GTX 670, Ultrasound

June 8, 2014 by hgpu

Brain perfusion imaging: performance and accuracy

F. Zhu

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Tags: Computed tomography, CT, CUDA, Image processing, Magnetic resonance imaging, Medicine, MRI, nVidia, nVidia GeForce GTX 280, Thesis

June 7, 2014 by hgpu

High-Speed GPU-Based Fully Three-Dimensional Diffuse Optical Tomographic System

Manob Jyoti Saikia, Rajan Kanhirodan, Ram Mohan Vasu

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Tags: CUDA, FEM, Finite element method, Image processing, Medicine, nVidia, Tesla K20, Tomography

June 6, 2014 by hgpu

A performance/cost evaluation for a GPU-based drug discovery application on volunteer computing

Gines David Guerrero Hernandez, Baldomero Imbernon, Horacio Perez-Sanchez, Francisco Sanz, Jose M. Garcia, Jose M. Cecilia

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Tags: Bioinformatics, Biology, CUDA, Medicine, nVidia, nVidia GeForce 7300 GT, nVidia GeForce GTX 465, nVidia GeForce GTX 480, nVidia GeForce GTX 590, Tesla C2070, Tesla K20

May 21, 2014 by hgpu

Rapid Rabbit: Highly Optimized GPU Accelerated Cone-Beam CT Reconstruction

Eric Papenhausen, Klaus Mueller

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Tags: Computed tomography, CT, CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 680

April 21, 2014 by hgpu

The Reconstruction Toolkit (RTK), an open-source cone-beam CT reconstruction toolkit based on the Insight Toolkit (ITK)

S. Rit, M. Vila Oliva, S. Brousmiche, R. Labarbe, D. Sarrut, G. C. Sharp

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Source codes

Tags: Computed tomography, CT, CUDA, Medicine, nVidia, OpenCL, Package, Tesla M2090

April 18, 2014 by hgpu

Use of Multiple GPUs to Speedup the Execution of a Three-Dimensional Computational Model of the Innate Immune System

M. P. Xavier, T. M. do Nascimento, R. W. dos Santos, M. Lobosco

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Tags: Biological Physics, CUDA, Medicine, nVidia, Tesla M2050

April 18, 2014 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Research on Parallel DVH Statistic Based on CUDA

High performance MRI simulations of motion on multi-GPU systems

Molecular dynamics simulations through GPU video games technologies

Various String Matching Algorithms for DNA Sequences to Detect Breast Cancer using CUDA Processors

GPU-Accelerated Dynamic Functional Connectivity Analysis for Functional MRI Data Using OpenCL

Efficient 3D Isotropic Volume Reconstruction Based On 2D Localized Ultrasound Images

Brain perfusion imaging: performance and accuracy

High-Speed GPU-Based Fully Three-Dimensional Diffuse Optical Tomographic System

A performance/cost evaluation for a GPU-based drug discovery application on volunteer computing

Rapid Rabbit: Highly Optimized GPU Accelerated Cone-Beam CT Reconstruction

The Reconstruction Toolkit (RTK), an open-source cone-beam CT reconstruction toolkit based on the Insight Toolkit (ITK)

Use of Multiple GPUs to Speedup the Execution of a Three-Dimensional Computational Model of the Innate Immune System

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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