high performance computing on graphics processing units: hgpu.org

hgpu.org » Applications » Medicine

Using the physics-based rendering toolkit for medical reconstruction

Steven Bergner, Eric Dagenais, Anna Celler, Torsten Moller

View

Download (PDF)

Source codes

Tags: Algorithms, Image reconstruction, Medicine, nVidia, nVidia GeForce 6600 GT, OpenGL, Package, Rendering, Tomography

August 12, 2011 by hgpu

Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients

S.S. Vasanawala, M.J. Murphy, M.T. Alley, P. Lai, K. Keutzer, J.M. Pauly, M. Lustig

Source codes

Tags: CUDA, Image reconstruction, Medicine, MRI, nVidia, Package

June 21, 2011 by hgpu

GPU accelerated rotation-based emission tomography reconstruction

S. Pedemonte, A. Bousse, K. Erlandsson, M. Modat, S. Arridge, B. F. Hutton, S. Ourselin

Source codes

Tags: CUDA, Image reconstruction, Medicine, nVidia, Package, Tomography

June 21, 2011 by hgpu

Parallel Dense Gauss-Seidel Algorithm on Many-Core Processors

H. Courtecuisse, J. Allard

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Medicine, nVidia, nVidia GeForce GTX 280, Package, Physics-based simulation, Surgical simulation

April 8, 2011 by hgpu

Real-time blood flow visualization using the graphics processing unit

Owen Yang, David Cuccia, Bernard Choi

View

Download (PDF)

Source codes

Tags: CUDA, Image processing, Medicine, nVidia, nVidia GeForce 8800 GTS, Optics, Package

February 26, 2011 by hgpu

Real-world comparison of CPU and GPU implementations of SNPrank: a network analysis tool for GWAS

Nicholas A. Davis, Ahwan Pandey, B. A. McKinney

View

Download (PDF)

Source codes

Tags: Bioinformatics, Biology, CUDA, Genetics, Medicine, nVidia, Package, Tesla M1060

December 13, 2010 by hgpu

GPGPU computation and visualization of three-dimensional cellular automata

Stephane Gobron, Arzu Coltekin, Herve Bonafos and Daniel Thalmann

View

Download (PDF)

Source codes

Tags: Cellular automata, Computer science, Medicine, nVidia, nVidia GeForce 8800 GTX, OpenGL, Package, Visualization

November 20, 2010 by hgpu

Fast free-form deformation using graphics processing units

Marc Modat, Gerard R. Ridgway, Zeike A. Taylor, Manja Lehmann, Josephine Barnes, David J. Hawkes, Nick C. Fox, Sebastien Ourselin

View

Download (PDF)

Source codes

Tags: Biology, CUDA, Image processing, Medicine, nVidia, nVidia GeForce 8800 GTX, Package

November 17, 2010 by hgpu

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Using the physics-based rendering toolkit for medical reconstruction

Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients

GPU accelerated rotation-based emission tomography reconstruction

Parallel Dense Gauss-Seidel Algorithm on Many-Core Processors

Real-time blood flow visualization using the graphics processing unit

Real-world comparison of CPU and GPU implementations of SNPrank: a network analysis tool for GWAS

GPGPU computation and visualization of three-dimensional cellular automata

Fast free-form deformation using graphics processing units

Recent source codes

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

chemtrain: Training Molecular Dynamics Potentials in JAX

microSYCL: SYCL micro-benchmarks repository

XaaS containers

SYCL Container

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Most viewed papers (last 30 days)