high performance computing on graphics processing units: hgpu.org

hgpu.org » Image reconstruction

How GPUs Can Improve the Quality of Magnetic Resonance Imaging

Sam S. Stone, Haoran Yi, Justin P. Haldar, Wen-mei W. Hwu, Bradley P. Sutton, and Zhi-Pei Liang

View

Tags: CUDA, FFT, Image processing, Image reconstruction, Magnetic resonance imaging, Medicine, MRI, nVidia, nVidia GeForce 8800 GTX

February 20, 2011 by hgpu

Using Graphics Processors to Accelerate Synthetic Aperture Sonar Imaging via Backpropagation

Daniel P. Campbell, Daniel A. Cook

View

Download (PDF)

Tags: CUDA, Image reconstruction, nVidia, Physics, Tesla S1070

February 16, 2011 by hgpu

3D tumor localization through real-time volumetric x-ray imaging for lung cancer radiotherapy

Ruijiang Li, John H. Lewis, Xun Jia, Xuejun Gu, Michael Folkerts, Chunhua Men, William Y. Song, Steve B. Jiang

View

Download (PDF)

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

February 9, 2011 by hgpu

Focused Volumetric Visual Hull with Color Extraction

Daniel Knoblauch, Falko Kuester

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Image reconstruction, nVidia, nVidia GeForce 8800 GTX

February 6, 2011 by hgpu

Sparse regularization in MRI iterative reconstruction using GPUs

Yue Zhuo, Bradley Sutton, Xiao-Long Wu, Justin Haldar, Wen-mei Hwu, Zhipei Liang

View

Download (PDF)

Tags: CUDA, Image processing, Image reconstruction, MRI, nVidia, nVidia GeForce GTX 280, Sparse matrix

January 24, 2011 by hgpu

Multi-GPU Implementation for Iterative MR Image Reconstruction with Field Correction

Y. Zhuo, X-L. Wu, J. P. Haldar, W-M. W. Hwu, Z-P. Liang, and B. P. Sutton

View

Download (PDF)

Tags: CUDA, Image processing, Image reconstruction, MRI, nVidia, Tesla S1070

January 24, 2011 by hgpu

Accelerating iterative field-compensated MR image reconstruction on GPUs

Yue Zhuo, Xiao-Long Wu, Justin P. Haldar, Wen-mei Hwu, Zhi-pei Liang, Bradley P. Sutton

View

Download (PDF)

Tags: Conjugate gradient solver, CUDA, Image processing, Image reconstruction, Medicine, MRI, nVidia, nVidia GeForce GTX 280

January 24, 2011 by hgpu

Compensated Visual Hull for Defective Segmentation and Occlusion

Hansung Kim, Ryuuki Sakamoto, Itaru Kitahara, Neal Orman, Tomoji Toriyama, Kiyoshi Kogure

View

Download (PDF)

Tags: Computer science, Computer vision, Image reconstruction, nVidia, nVidia GeForce 8800 GTS, Shaders

January 12, 2011 by hgpu

Fully-3D GPU PET reconstruction

J. L. Herrai, S. Espana, J. Cal-Gonzalez, J. J. Vaquero, M. Desco, J. M. Udias

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

January 6, 2011 by hgpu

Single-particle 3D reconstruction from cryo-electron microscopy images on GPU

Guangming Tan, Ziyu Guo, Mingyu Chen, Dan Meng

View

Download (PDF)

Tags: CUDA, Electron microscopy, Image processing, Image reconstruction, Medicine, nVidia, nVidia GeForce 8800 GTX

December 29, 2010 by hgpu

Multi GPU Implementation of Iterative Tomographic Reconstruction Algorithms

Byunghyun Jang, David R. Kaeli, Synho Do, Homer Pien

View

Download (PDF)

Tags: Computed tomography, CT, CUDA, GPU cluster, Image processing, Image reconstruction, Medicine, nVidia, Tesla S870

December 26, 2010 by hgpu

Parallel High Resolution Real-time Visual Hull On GPU

Wolfgang Waizenegger, Ingo Feldmann, Peter Eisert, Peter Kauff

View

Download (PDF)

Tags: Computer science, CUDA, Image reconstruction, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Real-time graphics

December 26, 2010 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

How GPUs Can Improve the Quality of Magnetic Resonance Imaging

Using Graphics Processors to Accelerate Synthetic Aperture Sonar Imaging via Backpropagation

3D tumor localization through real-time volumetric x-ray imaging for lung cancer radiotherapy

Focused Volumetric Visual Hull with Color Extraction

Sparse regularization in MRI iterative reconstruction using GPUs

Multi-GPU Implementation for Iterative MR Image Reconstruction with Field Correction

Accelerating iterative field-compensated MR image reconstruction on GPUs

Compensated Visual Hull for Defective Segmentation and Occlusion

Fully-3D GPU PET reconstruction

Single-particle 3D reconstruction from cryo-electron microscopy images on GPU

Multi GPU Implementation of Iterative Tomographic Reconstruction Algorithms

Parallel High Resolution Real-time Visual Hull On GPU

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)