high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Medicine

Real-time intraoperative full-range complex FD-OCT guided cerebral blood vessel identification and brain tumor resection in neurosurgery

Kang Zhang, Yong Huang, Gustavo Pradilla, Betty Tyler, Jin U. Kang

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Tags: CUDA, Medicine, Neuroscience, nVidia, nVidia GeForce GTX 480, Tomography, Visualization

December 10, 2011 by hgpu

Real-time dual-mode standard/complex Fourier-domain OCT system using graphics processing unit accelerated 4D signal processing and visualization

Kang Zhang, Jin U. Kang

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Tags: CUDA, FFT, Medicine, nVidia, nVidia GeForce GTX 480, Rendering, Signal processing, Tomography, Visualization

December 10, 2011 by hgpu

Graphics Processing Units for the Real-time Linear Elastostatic Simulation of Liver

Kirana Kumara P, Ashitava Ghosal

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Tags: FEM, Finite element method, GLSL, Medicine, nVidia, nVidia GeForce GTX 460, OpenGL, Real-time graphics, Rendering, Surgical simulation

December 8, 2011 by hgpu

Ultrasound Image Simulation with GPU-based Ray Tracing

Yuen C. Law, Sebastian Ullrich, Thomas Knott, Torsten Kuhlen

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Tags: Medicine, nVidia, nVidia GeForce GTX 480, Physics, Raytracing, Rendering, Ultrasound, Visualization

December 3, 2011 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

GPGPU Accelerated Cardiac Arrhythmia Simulations

Wei Wang, H. Howie Huang, Matthew Kay, John Cavazos

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Tags: CUDA, Heart, Medicine, nVidia, Tesla C1060, Tesla C2050

November 30, 2011 by hgpu

Parallel fuzzy connected image segmentation on GPU

Ying Zhuge, Robert W. Miller, Yong Cao, Jayaram K. Udupa

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Tags: Algorithms, CUDA, Image processing, Medicine, nVidia, Tesla C1060

November 24, 2011 by hgpu

A Parallel Deconvolution Algorithm in Perfusion Imaging

Fan Zhu, David Rodriguez Gonzalez, Trevor Carpenter, Malcolm Atkinson, Joanna Wardlaw

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Tags: Algorithms, Biology, CUDA, Medicine, nVidia, nVidia GeForce GTX 280, Performance, Tesla C1060

November 23, 2011 by hgpu

CT image reconstruction with half precision floating-point values

Clemens Maass, Sven Steckmann, Matthias Baer, Lars Hillebrand, Willi A. Kalender, Marc Kachelriess

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Tags: Algorithms, Computed tomography, CT, CUDA, Image processing, Image reconstruction, Larrabee, Medicine, nVidia, nVidia GeForce GTX 280

November 21, 2011 by hgpu

The role of GPU computing in medical image analysis and visualization

S. Moulik, W. Boonn

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Tags: Algorithms, Computer science, CUDA, Image processing, Medicine, nVidia, OpenCL, OpenGL, Visualization

November 17, 2011 by hgpu

GPU Based Tissue Doppler Imaging

Zhengjuan Fan, Li Wang, Chaowei Tan, D.C. Liu

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Tags: Algorithms, CUDA, Heart, Medicine, nVidia, nVidia GeForce GT 250, Signal processing, Visualization

November 14, 2011 by hgpu

Fast Level Set Segmentation of Biomedical Images using Graphics Processing Units

Hormuz Mostofi

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Source codes

Tags: Algorithms, Computer vision, CUDA, Image processing, Medicine, nVidia, nVidia GeForce 8600 M GT, Package

November 13, 2011 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

Applications

Real-time intraoperative full-range complex FD-OCT guided cerebral blood vessel identification and brain tumor resection in neurosurgery

Real-time dual-mode standard/complex Fourier-domain OCT system using graphics processing unit accelerated 4D signal processing and visualization

Graphics Processing Units for the Real-time Linear Elastostatic Simulation of Liver

Ultrasound Image Simulation with GPU-based Ray Tracing

EM+TV for Reconstruction of Cone-beam CT with Curved Detectors using GPU

GPGPU Accelerated Cardiac Arrhythmia Simulations

Parallel fuzzy connected image segmentation on GPU

A Parallel Deconvolution Algorithm in Perfusion Imaging

CT image reconstruction with half precision floating-point values

The role of GPU computing in medical image analysis and visualization

GPU Based Tissue Doppler Imaging

Fast Level Set Segmentation of Biomedical Images using Graphics Processing Units

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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