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High Speed Compressed Sensing Reconstruction in Dynamic Parallel MRI Using Augmented Lagrangian and Parallel Processing

Cagdas Bilen, Yao Wang, Ivan Selesnick

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Tags: Algorithms, Compression, Computer science, Data Structures and Algorithms, Magnetic resonance imaging, MRI, nVidia, nVidia Quadro FX 4800, Sensing

March 22, 2012 by hgpu

Image segmentation using CUDA implementations of the Runge-Kutta-Merson and GMRES methods

Tomas Oberhuber, Atsushi Suzuki, Jan Vacata, Vitezslav Zabka

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Tags: Algorithms, CUDA, Differential equations, Image processing, MRI, nVidia, nVidia GeForce GTX 480, ODEs, Ordinary differential equations, Partial differential equations, PDEs

February 22, 2012 by hgpu

High-Performance 3D Compressive Sensing MRI Reconstruction Using Many-Core Architectures

Daehyun Kim, Joshua Trzasko, Mikhail Smelyanskiy, Clifton Haider, Pradeep Dubey, Armando Manduca

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Tags: Algorithms, CUDA, Image processing, Medicine, MRI, nVidia, Sensing, Tesla C2050

February 21, 2012 by hgpu

Real-time Compressive Sensing MRI Reconstruction using GPU Computing and Split Bregman Methods

David S. Smith, John. C. Gore, Thomas E. Yankeelov, E. Brian Welch

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Tags: Algorithms, CUDA, Image processing, MRI, nVidia, Tesla C2050

January 23, 2012 by hgpu

Parallel Volume Rendering for Large Scientific Data

Thomas Fogal

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Tags: Algorithms, Computer science, MRI, nVidia, nVidia GeForce 8800 GTX, nVidia Quadro FX 5800, OpenGL, Rendering, Visualization

January 20, 2012 by hgpu

Efficient fMRI Analysis and Clustering on GPUs

B.E. Dharneesh Talasu

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Tags: Clustering, CUDA, Heterogeneous systems, Hierarchical clustering, Image processing, Medicine, MRI, nVidia, nVidia GeForce 9400 M, Thesis

January 20, 2012 by hgpu

Parallelism, Patterns, and Performance in Iterative MRI Reconstruction

Mark Murphy

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Source codes

Tags: Algorithms, Compression, CUDA, FFT, Image processing, Magnetic resonance imaging, Medicine, MRI, nVidia, nVidia GeForce GTX 580, Package, Thesis, Wavelet

December 29, 2011 by hgpu

Efficient Probabilistic and Geometric Anatomical Mapping Using Particle Mesh Approximation on GPUs

Linh Ha, Marcel Prastawa, Guido Gerig, John H. Gilmore, Claudio T. Silva, Sarang Joshi1

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Tags: Algorithms, CUDA, Image processing, Image registration, Medicine, MRI, nVidia, nVidia GeForce GTX 260

December 21, 2011 by hgpu

cudaBayesreg: Parallel Implementation of a Bayesian Multilevel Model for fMRI Data Analysis

Adelino R. Ferreira da Silva

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Tags: Bayesian, Computer science, CUDA, Magnetic resonance imaging, MRI, nVidia, nVidia GeForce 8400 M GS, Package

November 10, 2011 by hgpu

A GPU accelerated interactive interface for exploratory functional connectivity analysis of fMRI data

Anders Eklund, Ola Friman, Mats Andersson, Hans Knutsson

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Tags: Medicine, MRI, nVidia, nVidia GeForce GTX 275, OpenCL, Rendering

November 7, 2011 by hgpu

Advanced MRI reconstruction toolbox with accelerating on GPU

Xiao-Long Wu, Yue Zhuo, Fan Lam, Maojing Fu, Justin P. Haldar, Wen-Mei Hwu, Zhi-Pei Liang, Bradley P. Sutton, Jiading Gai

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Tags: Algorithms, CUDA, FFT, Image reconstruction, Magnetic resonance imaging, MRI, nVidia, nVidia GeForce GTX 280, Optimization, Physics

November 6, 2011 by hgpu

Fused DTI/HARDI Visualization

Vesna Prckovska, Tim H. J. M. Peeters, Markus van Almsick, Bart ter Haar Romeny, Anna Vilanova i Bartroli

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Tags: Computer science, Medicine, MRI, nVidia, nVidia GeForce 9600 GT, Rendering, Visualization

September 3, 2011 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

High Speed Compressed Sensing Reconstruction in Dynamic Parallel MRI Using Augmented Lagrangian and Parallel Processing

Image segmentation using CUDA implementations of the Runge-Kutta-Merson and GMRES methods

High-Performance 3D Compressive Sensing MRI Reconstruction Using Many-Core Architectures

Real-time Compressive Sensing MRI Reconstruction using GPU Computing and Split Bregman Methods

Parallel Volume Rendering for Large Scientific Data

Efficient fMRI Analysis and Clustering on GPUs

Parallelism, Patterns, and Performance in Iterative MRI Reconstruction

Efficient Probabilistic and Geometric Anatomical Mapping Using Particle Mesh Approximation on GPUs

cudaBayesreg: Parallel Implementation of a Bayesian Multilevel Model for fMRI Data Analysis

A GPU accelerated interactive interface for exploratory functional connectivity analysis of fMRI data

Advanced MRI reconstruction toolbox with accelerating on GPU

Fused DTI/HARDI Visualization

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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