CT | Page 10 | hgpu.org

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

GPU-based Fast Low-dose Cone Beam CT Reconstruction via Total Variation

Xun Jia, Yifei Lou, John Lewis, Ruijiang Li, Xuejun Gu, Chunhua Men, William Y. Song, Steve B. Jiang

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Tags: Computed tomography, CT, CUDA, Image reconstruction, Medical Physics, nVidia, Physics, 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 Low Dose CT Reconstruction via Edge-preserving Total Variation Regularization

Zhen Tian, Xun Jia, Kehong Yuan, Tinsu Pan, Steve B. Jiang

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

November 9, 2010 by hgpu

Real-time visualization of large volume datasets on standard PC hardware

Kai Xie, Jie Yang, Y. M. Zhu

Tags: Computed tomography, CT, Image processing, Medicine, nVidia, nVidia GeForce 6600

November 6, 2010 by hgpu

Graphics Hardware-Based Level-Set Method for Interactive Segmentation and Visualization

Helen Hong, Seongjin Park

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Tags: ATI, ATI Radeon 9600, Computed tomography, CT, DirectX, Image processing, Medicine, Rendering

November 6, 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

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high performance computing on graphics processing units: hgpu.org

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

GPU-based Fast Low-dose Cone Beam CT Reconstruction via Total Variation

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

GPU-based Low Dose CT Reconstruction via Edge-preserving Total Variation Regularization

Real-time visualization of large volume datasets on standard PC hardware

Graphics Hardware-Based Level-Set Method for Interactive Segmentation and Visualization

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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