high performance computing on graphics processing units: hgpu.org

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

Sharan Vaswani, Rahul Thota, Nagavijayalakshmi Vydyanathan, Amit Kale

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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

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

October 28, 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

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

May 3, 2012 by hgpu

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

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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

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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

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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

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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

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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

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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

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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

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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

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

December 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

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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

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

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

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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