high performance computing on graphics processing units: hgpu.org

hgpu.org » CT

A GPU Tool for Efficient, Accurate, and Realistic Simulation of Cone Beam CT Projections

Xun Jia, Hao Yan, Laura Cervino, Michael Folkerts, Steve B. Jiang

View

Download (PDF)

Tags: Algorithms, Computed tomography, CT, Medical Physics, nVidia, nVidia GeForce GTX 580, Physics, Raytracing

May 3, 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

Fast CT Image Processing using Parallelized Non-local Means

Hao Wu, Wenhua Zhang, Dazhi Gao, Xindao Yin, Yang Chen, Weidong Wang

View

Download (PDF)

Tags: Computed tomography, CT, CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 465, Tomography

January 30, 2012 by hgpu

Four-dimensional Cone Beam CT Reconstruction and Enhancement using a Temporal Non-Local Means Method

Xun Jia, Zhen Tian, Yifei Lou, Jan-Jakob Sonke, Steve B. Jiang

View

Download (PDF)

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

January 17, 2012 by hgpu

A Scalable Framework for Monte Carlo Simulation Using FPGA-based Hardware Accelerators with Application to SPECT Imaging

Phillip J. Kinsman

View

Download (PDF)

Tags: Algorithms, Computed tomography, CT, CUDA, FPGA, Image reconstruction, Medicine, Monte Carlo simulation, nVidia, nVidia GeForce GTX 470, Thesis, Tomography

January 3, 2012 by hgpu

High Quality Cone-beam CT Reconstruction on the GPU

Gabor Jakab, Attila Racz, Kalman Nagy

View

Download (PDF)

Tags: Computed tomography, CT, Image reconstruction, Medicine, Tomography

January 1, 2012 by hgpu

EM+TV for Reconstruction of Cone-beam CT with Curved Detectors using GPU

Jianwen Chen, Ming Yan, Luminita A. Vese, John Villasenor, Alex Bui, Jason Cong

View

Download (PDF)

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

December 3, 2011 by hgpu

CT image reconstruction with half precision floating-point values

Clemens Maass, Sven Steckmann, Matthias Baer, Lars Hillebrand, Willi A. Kalender, Marc Kachelriess

View

Download (PDF)

Tags: Algorithms, Computed tomography, CT, CUDA, Image processing, Image reconstruction, Larrabee, Medicine, nVidia, nVidia GeForce GTX 280

November 21, 2011 by hgpu

Performance Tuning for CUDA-Accelerated Neighborhood Denoising Filters

Ziyi Zheng, Wei Xu and Klaus Mueller

View

Download (PDF)

Tags: Computed tomography, CT, CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 480, Performance, Signal denoising

November 9, 2011 by hgpu

True 4D Image Denoising on the GPU

Anders Eklund, Mats Andersson, Hans Knutsson

View

Download (PDF)

Tags: Algorithms, Computational Complexity, Computed tomography, CT, CUDA, FFT, Filtering, Image processing, Medicine, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 580, Tomography

November 3, 2011 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

* * *

high performance computing on graphics processing units: hgpu.org

A GPU Tool for Efficient, Accurate, and Realistic Simulation of Cone Beam CT Projections

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

Fast CT Image Processing using Parallelized Non-local Means

Four-dimensional Cone Beam CT Reconstruction and Enhancement using a Temporal Non-Local Means Method

A Scalable Framework for Monte Carlo Simulation Using FPGA-based Hardware Accelerators with Application to SPECT Imaging

High Quality Cone-beam CT Reconstruction on the GPU

EM+TV for Reconstruction of Cone-beam CT with Curved Detectors using GPU

CT image reconstruction with half precision floating-point values

Performance Tuning for CUDA-Accelerated Neighborhood Denoising Filters

True 4D Image Denoising on the GPU

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

Most viewed papers (last 30 days)