high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Medicine

MAP-based Brain Tissue Segmentation using Manifold Learning and Hierarchical Max-Flow regularization

Martin Rajchl, John S.H. Baxter, A. Jonathan McLeod, Jing Yuan, Wu Qiu, Terry M. Peters, James A. White, Ali R. Khan

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Tags: CUDA, Image processing, Medicine, nVidia, Self-organizing map, Tesla C2070

April 12, 2014 by hgpu

Exploiting GPUs to investigate an inversion method that retrieves cardiac conductivities from potential measurements

B. Johnston, J. Barnes

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Tags: cardiac simulation, CUDA, Medicine, nVidia, nVidia GeForce GTX 660, nVidia GeForce GTX 690

March 29, 2014 by hgpu

GPU-accelerated automatic identification of robust beam setups for proton and carbon-ion radiotherapy

F. Ammazzalorso, T. Bednarz, U. Jelen

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Tags: Medicine, nVidia, nVidia Tesla C2050, OpenCL, Radiotherapy

March 28, 2014 by hgpu

A pattern recognition system for prostate mass spectra discrimination based on the CUDA parallel programming model

S. Kostopoulos, D. Glotsos, K. Sidiropoulos, P. Asvestas, D. Cavouras, I. Kalatzis

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Tags: CUDA, Medicine, nVidia, nVidia GeForce GTX 580, Pattern recognition, Signal processing

March 20, 2014 by hgpu

Multimodality imaging and state-of-art GPU technology in discriminating benign from malignant breast lesions on real time decision support system

S. Kostopoulos, K. Sidiropoulos, D. Glotsos, N. Dimitropoulos, I. Kalatzis, P. Asvestas and D. Cavouras

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia GeForce 580GTX, Pattern recognition, Ultrasound

March 19, 2014 by hgpu

Competing computational approaches to reaction-diffusion equations in clusters of cells

S. Stella, R. Chignola, E. Milotti

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Tags: Biology, CUDA, Diffusion equation, Medicine, nVidia, nVidia Quadro 4000, Partial differential equations, PDEs

March 19, 2014 by hgpu

G-Heart: A GPU-based System for Electrophysiological Simulation and Multi-modality Cardiac Visualization

Lei Zhang, Kuanquan Wang, Wangmeng Zuo, Changqing Gai

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Tags: CUDA, Heart, Medicine, nVidia, Rendering, Tesla C1060, Visualization

February 27, 2014 by hgpu

X-ray CT on the GPU

Ravikiran Tadepalli

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Tags: Algorithms, CUDA, Medicine, nVidia, Tesla C1060, Thesis, Tomography

February 19, 2014 by hgpu

Cuda K-Nn: application to the segmentation of the retinal vasculature within SD-OCT volumes of mice

Wenxiang Deng

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 570

February 16, 2014 by hgpu

GPU-based high-performance computing for radiation therapy

Xun Jia, Peter Ziegenhein, Steve B Jiang

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Tags: CUDA, Medicine, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295, nVidia GeForce GTX 480, nVidia GeForce GTX 570, nVidia GeForce GTX 580, nVidia GeForce GTX 590, Physics, Radiotherapy, Review, Tesla C1060, Tesla C2050, Tesla C2070

February 9, 2014 by hgpu

Bone structure analysis on multiple GPGPUs

Peter Arbenz, Cyril Flaig, Daniel Kellenberger

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Tags: CUDA, Medicine, nVidia, Tesla K20

February 5, 2014 by hgpu

Comparing the Performance of Different x86 SIMD Instruction Sets for a Medical Imaging Application on Modern Multi- and Manycore Chips

Johannes Hofmann, Jan Treibig, Georg Hager, Gerhard Wellein

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Tags: Algorithms, Computed tomography, Computer science, CT, CUDA, Image reconstruction, Intel Xeon Phi, Medicine, nVidia, nVidia GeForce GTX 680, Performance

January 30, 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

MAP-based Brain Tissue Segmentation using Manifold Learning and Hierarchical Max-Flow regularization

Exploiting GPUs to investigate an inversion method that retrieves cardiac conductivities from potential measurements

GPU-accelerated automatic identification of robust beam setups for proton and carbon-ion radiotherapy

A pattern recognition system for prostate mass spectra discrimination based on the CUDA parallel programming model

Multimodality imaging and state-of-art GPU technology in discriminating benign from malignant breast lesions on real time decision support system

Competing computational approaches to reaction-diffusion equations in clusters of cells

G-Heart: A GPU-based System for Electrophysiological Simulation and Multi-modality Cardiac Visualization

X-ray CT on the GPU

Cuda K-Nn: application to the segmentation of the retinal vasculature within SD-OCT volumes of mice

GPU-based high-performance computing for radiation therapy

Bone structure analysis on multiple GPGPUs

Comparing the Performance of Different x86 SIMD Instruction Sets for a Medical Imaging Application on Modern Multi- and Manycore Chips

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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