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

Task Performance with List-Mode Data

Luca Caucci

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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

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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

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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

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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

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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

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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

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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

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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

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

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

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

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

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

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

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

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

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