high performance computing on graphics processing units: hgpu.org

hgpu.org » Tomography

Fast 3D Structure Localization in Medical Volumes using CUDA-enabled GPUs

Sharan Vaswani, Rahul Thota, Nagavijayalakshmi Vydyanathan, Amit Kale

View

Download (PDF)

Tags: Computed tomography, CT, CUDA, Medicine, nVidia, Tesla C2050, Tomography

November 15, 2012 by hgpu

Parallel computation of a SPECT projection operator for a content adaptative mesh model

Francesc Massanes, Jovan G. Brankov

View

Download (PDF)

Tags: Computed tomography, CT, Image reconstruction, Medicine, nVidia, OpenCL, Tesla C2070, Tomography

October 28, 2012 by hgpu

Task Performance with List-Mode Data

Luca Caucci

View

Download (PDF)

Tags: Algorithms, Computer science, Data acquisition, Image reconstruction, Medicine, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 295, Tesla C1060, Tesla C2050, Thesis, Tomography

September 23, 2012 by hgpu

GPU-Accelerated First-Order Scattering Simulation for X-Ray CT Image Reconstruction

Sungsoo Ha, Jaewoo Pi, Klaus Mueller

View

Download (PDF)

Tags: CUDA, Image reconstruction, Medicine, nVidia, nVidia GeForce GTX 480, Tomography

September 6, 2012 by hgpu

Visualization of Astronomical Nebulae via Distributed Multi-GPU Compressed Sensing Tomography

Stephan Wenger, Marco Ament, Stefan Guthe, Dirk Lorenz, Andreas Tillmann, Daniel Weiskopf, Marcus Magnor

View

Download (PDF)

Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 480, Rendering, Sensing, Tomography, Visualization

August 6, 2012 by hgpu

High-performance blob-based iterative three-dimensional reconstruction in electron tomography using multi-GPUs

Xiaohua Wan, Fa Zhang, Qi Chu, Zhiyong Liu

View

Download (PDF)

Tags: CUDA, Medicine, nVidia, nVidia GeForce GTX 295, Tesla C2050, Tomography

June 30, 2012 by hgpu

Ultra-Fast Displaying Spectral Domain Optical Doppler Tomography System Using a Graphics Processing Unit

Hyosang Jeong, Nam Hyun Cho, Unsang Jung, Changho Lee, Jeong-Yeon Kim, Jeehyun Kim

View

Download (PDF)

Tags: CUDA, Data acquisition, FFT, Medicine, nVidia, nVidia GeForce GTX 480, Tomography

June 3, 2012 by hgpu

CT to Cone-beam CT Deformable Registration With Simultaneous Intensity Correction

Xin Zhen, Xuejun Gu, Hao Yan, Linghong Zhou, Xun Jia, Steve B. Jiang

View

Download (PDF)

Tags: Computed tomography, CT, CUDA, Image registration, Medical Physics, Medicine, nVidia, Physics, Tesla C1060, Tomography

May 3, 2012 by hgpu

The AGILE library for image reconstruction in biomedical sciences using graphics card hardware acceleration

Manuel Freiberger, Florian Knoll, Kristian Bredies, Hermann Scharfetter, Rudolf Stollberger

View

Download (PDF)

Source codes

Tags: Algorithms, CUDA, Image processing, Image reconstruction, Magnetic resonance imaging, Medicine, MRI, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 480, Package, Tomography

April 28, 2012 by hgpu

Multi-GPU parallelization of a 3D Bayesian CT algorithm and its application on real foam reconstruction with incomplete data set

Nicolas Gac, Alexandre Vabre, Ali Mohammad Djafari

View

Download (PDF)

Tags: Algorithms, Bayesian, Computed tomography, CT, CUDA, GPU cluster, Image reconstruction, Medicine, nVidia, Tesla C1060, Tomography

March 31, 2012 by hgpu

Cone-beam Computed tomography image reconstruction based on GPU

Hongwei Xu, Fucang Jia, Wenyan Chen, Xiaodong Zhang

View

Download (PDF)

Tags: Algorithms, Computed tomography, CT, CUDA, Image reconstruction, Medicine, nVidia, nVidia GeForce GT 240 M, Tomography

February 18, 2012 by hgpu

Joint-MAP Tomographic Reconstruction with Patch Similarity Based Mixture Prior Model

Yang Chen, Yinsheng Li, Weimin Yu, Limin Luo, Wufan Chen, Christine Toumoulin

View

Download (PDF)

Tags: Algorithms, Bayesian, Computed tomography, CT, CUDA, Medicine, nVidia, nVidia GeForce GTX 465, Tomography

February 17, 2012 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

* * *

high performance computing on graphics processing units: hgpu.org

Fast 3D Structure Localization in Medical Volumes using CUDA-enabled GPUs

Parallel computation of a SPECT projection operator for a content adaptative mesh model

Task Performance with List-Mode Data

GPU-Accelerated First-Order Scattering Simulation for X-Ray CT Image Reconstruction

Visualization of Astronomical Nebulae via Distributed Multi-GPU Compressed Sensing Tomography

High-performance blob-based iterative three-dimensional reconstruction in electron tomography using multi-GPUs

Ultra-Fast Displaying Spectral Domain Optical Doppler Tomography System Using a Graphics Processing Unit

CT to Cone-beam CT Deformable Registration With Simultaneous Intensity Correction

The AGILE library for image reconstruction in biomedical sciences using graphics card hardware acceleration

Multi-GPU parallelization of a 3D Bayesian CT algorithm and its application on real foam reconstruction with incomplete data set

Cone-beam Computed tomography image reconstruction based on GPU

Joint-MAP Tomographic Reconstruction with Patch Similarity Based Mixture Prior Model

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

Most viewed papers (last 30 days)