high performance computing on graphics processing units: hgpu.org

GPU-based Multi-Volume Rendering of Complex Data in Neuroscience and Neurosurgery

Johanna Beyer

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Tags: Computed tomography, Computer science, CT, CUDA, Medicine, Neuroscience, nVidia, nVidia GeForce GTX 280, Rendering, Visualization

February 13, 2011 by hgpu

Evaluating the Performance of Processing Medical Volume Data on Graphics Hardware

Matthias Raspe, Guido Lorenz and Stefan Muller

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Tags: Computed tomography, CT, Image processing, Medicine, MRI, nVidia, nVidia GeForce 8800 GTS

January 27, 2011 by hgpu

Automatic Hepatic Vessel Segmentation Using Graphics Hardware

Marius Erdt, Matthias Raspe, Michael Suehling

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Tags: Computed tomography, CT, Image processing, Medicine, nVidia, nVidia GeForce 8800 GTS

January 12, 2011 by hgpu

Techniques for efficient, real-time, 3D visualization of multi-modality cardiac data using consumer graphics hardware

David Levin, Usaf Aladl, Guido Germano, Piotr Slomka

Tags: ATI, ATI Radeon 9700 Pro, Computed tomography, CT, Image processing, Medicine, MRI, Rendering, Visualization

January 8, 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

Multi GPU Implementation of Iterative Tomographic Reconstruction Algorithms

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

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

December 26, 2010 by hgpu

Experiences with Cell-BE and GPU for Tomography

Sander van der Maar, Kees Joost Batenburg, Jan Sijbers

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Tags: Cell processor, Computed tomography, CT, CUDA, Image processing, Image reconstruction, Medicine, nVidia, nVidia GeForce 9800 GX2

December 22, 2010 by hgpu

Accelerating Regularized Iterative CT Reconstruction on Commodity Graphics Hardware (GPU)

Wei Xu, Klaus Mueller

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Tags: Computed tomography, CT, GLSL, Image processing, Image reconstruction, Medicine, nVidia, nVidia GeForce 8800 GT, OpenGL

December 18, 2010 by hgpu

Development of a GPU-based multithreaded software application to calculate digitally reconstructed radiographs for radiotherapy

Shinichiro Mori, Masanao Kobayashi, Motoki Kumagai, Shinichi Minohara

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Tags: Computed tomography, CT, CUDA, Image reconstruction, Medicine, nVidia, nVidia GeForce 8800 GTS, Radiotherapy

December 13, 2010 by hgpu

Deforming a High-Resolution Mesh in Real-Time by Mapping onto a Low-Resolution Physical Model

Hans de Visser, Olivier Comas, David Conlan, Sebastien Ourselin, Josh Passenger, Olivier Salvado

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Tags: Computed tomography, CT, CUDA, Image processing, Medicine, nVidia, nVidia GeForce 8800 GTX

December 12, 2010 by hgpu

Towards systematic exploration of tradeoffs for medical image registration on heterogeneous platforms

W. Plishker, O. Dandekar, S. S. Bhattacharyya, R. Shekhar

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Tags: Computed tomography, CT, CUDA, Image processing, Image registration, Medicine, nVidia, nVidia GeForce 8800 GTX

December 12, 2010 by hgpu

High performance computing for deformable image registration: Towards a new paradigm in adaptive radiotherapy

Sanjiv S. Samant, Junyi Xia, P, John D. Owens

Tags: Biology, Computed tomography, CT, CUDA, Image reconstruction, Image registration, Medicine, nVidia, nVidia GeForce 8800 GTX, Radiotherapy

December 11, 2010 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

GPU-based Multi-Volume Rendering of Complex Data in Neuroscience and Neurosurgery

Evaluating the Performance of Processing Medical Volume Data on Graphics Hardware

Automatic Hepatic Vessel Segmentation Using Graphics Hardware

Techniques for efficient, real-time, 3D visualization of multi-modality cardiac data using consumer graphics hardware

Fully-3D GPU PET reconstruction

Multi GPU Implementation of Iterative Tomographic Reconstruction Algorithms

Experiences with Cell-BE and GPU for Tomography

Accelerating Regularized Iterative CT Reconstruction on Commodity Graphics Hardware (GPU)

Development of a GPU-based multithreaded software application to calculate digitally reconstructed radiographs for radiotherapy

Deforming a High-Resolution Mesh in Real-Time by Mapping onto a Low-Resolution Physical Model

Towards systematic exploration of tradeoffs for medical image registration on heterogeneous platforms

High performance computing for deformable image registration: Towards a new paradigm in adaptive radiotherapy

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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