high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Medicine

Correlation analysis on GPU systems using NVIDIA’s CUDA

Daniel Gembris, Markus Neeb, Markus Gipp, Andreas Kugel, Reinhard Manner

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Tags: Computer science, CUDA, FPGA, Magnetic resonance imaging, Medicine, nVidia, nVidia GeForce 8800 GTX

November 17, 2010 by hgpu

A Survey of Medical Image Registration on Multicore and the GPU

Ramtin Shams, Parastoo Sadeghi, Rodney Kennedy, Richard Hartley

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Tags: Image processing, Image registration, Medicine, nVidia, nVidia GeForce GTX 295

November 17, 2010 by hgpu

Fast free-form deformation using graphics processing units

Marc Modat, Gerard R. Ridgway, Zeike A. Taylor, Manja Lehmann, Josephine Barnes, David J. Hawkes, Nick C. Fox, Sebastien Ourselin

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Source codes

Tags: Biology, CUDA, Image processing, Medicine, nVidia, nVidia GeForce 8800 GTX, Package

November 17, 2010 by hgpu

Accelerating simultaneous algebraic reconstruction technique with motion compensation using CUDA-enabled GPU

Wai-Man Pang, Jing Qin, Yuqiang Lu, Yongming Xie, Chee-Kong Chui, Pheng-Ann Heng

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Tags: Computed tomography, CT, CUDA, Image reconstruction, Medicine, Motion compensation, nVidia, nVidia GeForce 8800 GTX

November 17, 2010 by hgpu

Real-time nonlinear finite element computations on GPU – Application to neurosurgical simulation

Grand R. Joldes, Adam Wittek, Karol Miller

Tags: CUDA, Medicine, nVidia, Surgical simulation

November 16, 2010 by hgpu

GPU-based smart visibility techniques for tumor surgery planning

Christoph Kubisch, Christian Tietjen, Bernhard Preim

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Tags: Cg, Medicine, nVidia, nVidia GeForce 9600 GT, OpenGL, Rendering, Visualization

November 16, 2010 by hgpu

GPU-Accelerated Robotic Intra-operative Laparoscopic 3D Reconstruction

Markus Moll, Hsiao-Wei Tang, Luc Van Gool

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Tags: Image reconstruction, Medicine, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 8800 GTX

November 16, 2010 by hgpu

GPU-based ultra fast dose calculation using a finite pencil beam model

Xuejun Gu, Dongju Choi, Chunhua Men, Hubert Pan, Amitava Majumdar, Steve B. Jiang

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Tags: CUDA, Medical Physics, Medicine, nVidia, nVidia GeForce 9500 GT, nVidia GeForce GTX 285, Physics, Radiotherapy, Tesla C1060, Tesla S1070

November 13, 2010 by hgpu

Implementation and evaluation of various demons deformable image registration algorithms on GPU

Xuejun Gu, Hubert Pan, Yun Liang, Richard Castillo, Deshan Yang, Dongju Choi, Edward Castillo, Amitava Majumdar, Thomas Guerrero, Steve B. Jiang

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Tags: CUDA, Image registration, Medical Physics, Medicine, nVidia, nVidia GeForce GTX 285, Physics, Radiotherapy

November 13, 2010 by hgpu

Development of a GPU-based Monte Carlo dose calculation code for coupled electron-photon transport

Xun Jia, Xuejun Gu, Josep Sempau, Dongju Choi, Amitava Majumdar, Steve B. Jiang

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Tags: CUDA, Medical Physics, Medicine, Monte Carlo simulation, nVidia, Physics, Radiotherapy, Tesla C1060

November 13, 2010 by hgpu

GPU-based Fast Cone Beam CT Reconstruction from Undersampled and Noisy Projection Data via Total Variation

Xun Jia, Yifei Lou, Ruijiang Li, William Y. Song, Steve B. Jiang

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Tags: CT, CUDA, Image reconstruction, Medical Physics, Medicine, nVidia, Tesla C1060

November 12, 2010 by hgpu

GPU-based ultra-fast direct aperture optimization for online adaptive radiation therapy

Chunhua Men, Xun Jia, Steve. B. Jiang

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Tags: CUDA, Medical Physics, Medicine, nVidia, nVidia GeForce 9500 GT, nVidia GeForce GTX 285, Physics, Radiotherapy, Tesla C1060

November 12, 2010 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Correlation analysis on GPU systems using NVIDIA’s CUDA

A Survey of Medical Image Registration on Multicore and the GPU

Fast free-form deformation using graphics processing units

Accelerating simultaneous algebraic reconstruction technique with motion compensation using CUDA-enabled GPU

Real-time nonlinear finite element computations on GPU – Application to neurosurgical simulation

GPU-based smart visibility techniques for tumor surgery planning

GPU-Accelerated Robotic Intra-operative Laparoscopic 3D Reconstruction

GPU-based ultra fast dose calculation using a finite pencil beam model

Implementation and evaluation of various demons deformable image registration algorithms on GPU

Development of a GPU-based Monte Carlo dose calculation code for coupled electron-photon transport

GPU-based Fast Cone Beam CT Reconstruction from Undersampled and Noisy Projection Data via Total Variation

GPU-based ultra-fast direct aperture optimization for online adaptive radiation therapy

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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