high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Medicine

An optimised multi-baseline approach for on-line MR-temperature monitoring on commodity graphics hardware

B.D. de Senneville, K.O. Noe, M. Ries, M. Pedersen, C.T.W. Moonen, T.S. Sorensen

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Tags: CUDA, Magnetic resonance imaging, Medicine, Motion compensation, MRI, nVidia, nVidia GeForce 8800 GTX

August 5, 2011 by hgpu

Simulating 3-D Lung Dynamics Using a Programmable Graphics Processing Unit

Anand P. Santhanam, Felix G. Hamza-Lup, Jannick P. Rolland

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Tags: Cg, Medicine, nVidia, nVidia GeForce FX 5600 Ultra, Rendering, Visualization

August 3, 2011 by hgpu

Power-efficient medical image processing using PUMA

Ganesh Dasika, Kevin Fan, Scott Mahlke

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Tags: Algorithms, CUDA, Energy-efficient computing, Image processing, Image reconstruction, Medicine, MRI, nVidia, nVidia GeForce GTX 280

July 31, 2011 by hgpu

A reduced order explicit dynamic finite element algorithm for surgical simulation

Z. A. Taylor, S. Crozier, S. Ourselin

Tags: Algorithms, Finite element method, Medicine, Surgical simulation

July 29, 2011 by hgpu

Study on volume rendering of CT slices based on ray casting

Zhenwei Li, Jianguo Zhang

Tags: Algorithms, Computed tomography, CT, Medicine, nVidia, nVidia GeForce GT 220, Rendering, Visualization

July 27, 2011 by hgpu

Near-real-time simulations of biolelectric activity in small mammalian hearts using graphical processing units

E.J. Vigmond, P.M. Boyle, L.J. Leon, G. Plank

Tags: Biology, Heart, Medicine, ODEs, Ordinary differential equations, Partial differential equations, PDEs

July 27, 2011 by hgpu

A High Quality Reflectance Model in Medical Image Visualization

Yunpeng Zou, Jun Zhang, Xiaoming Han, Yan Kang

Tags: Image processing, Medicine, Rendering, Visualization

July 27, 2011 by hgpu

Dynamic Shader Generation for Flexible Multi-Volume Visualization

Friedemann Rossler, Ralf P. Botchen, Thomas Ertl

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Tags: Computer science, GLSL, Image generation, Medicine, nVidia, nVidia GeForce 8800 GTS, OpenGL, Rendering, Visualization

July 27, 2011 by hgpu

GPGPU Acceleration Algorithm for Medical Image Reconstruction

Virasin Archirapatkave, Hendra Sumilo, Simon Chong Wee See, Tiranee Achalakul

Tags: Algorithms, Image reconstruction, Medicine, OpenGL, Visualization

July 24, 2011 by hgpu

Out-of-core cone beam reconstruction using multiple GPUs

Fumihiko Ino, Yusuke Okitsu, Taketo Kishi, Syuhei Ohnishi, Kenichi Hagihara

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Tags: Algorithms, CUDA, Image reconstruction, Medicine, nVidia, Tesla S1070

July 24, 2011 by hgpu

Real-Time Illustration of Vascular Structures

Felix Ritter, Christian Hansen, Volker Dicken, Olaf Konrad, Bernhard Preim, and Heinz-Otto Peitgen

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Tags: Algorithms, Computer science, Medicine, nVidia, nVidia GeForce 7800 GTX, OpenGL, Rendering, Surgical simulation, Visualization

July 24, 2011 by hgpu

Real time image reconstruction using GPUs for a surgical PET imaging probe system

S.S. Huh, Li Han, W.L. Rogers, N.H. Clinthorne

Tags: CUDA, Image reconstruction, Medicine, Monte Carlo simulation, nVidia, nVidia GeForce 9800 GTX, PET, Tomography

July 22, 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

An optimised multi-baseline approach for on-line MR-temperature monitoring on commodity graphics hardware

Simulating 3-D Lung Dynamics Using a Programmable Graphics Processing Unit

Power-efficient medical image processing using PUMA

A reduced order explicit dynamic finite element algorithm for surgical simulation

Study on volume rendering of CT slices based on ray casting

Near-real-time simulations of biolelectric activity in small mammalian hearts using graphical processing units

A High Quality Reflectance Model in Medical Image Visualization

Dynamic Shader Generation for Flexible Multi-Volume Visualization

GPGPU Acceleration Algorithm for Medical Image Reconstruction

Out-of-core cone beam reconstruction using multiple GPUs

Real-Time Illustration of Vascular Structures

Real time image reconstruction using GPUs for a surgical PET imaging probe system

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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