high performance computing on graphics processing units: hgpu.org

Siavash Khallaghi, Purang Abolmaesumi, Ren Hui Gong, Elvis Chen, Sean Gill, Jonathan Boisvert, David Pichora, Dan Borschneck, Gabor Fichtinger, Parvin Mousavi

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 285, Optimization, Ultrasound

January 18, 2012 by hgpu

Heterogeneous Computing for Vertebra Detection and Segmentation in X-Ray Images

Fabian Lecron, Sidi Ahmed Mahmoudi, Mohammed Benjelloun, Said Mahmoudi, Pierre Manneback

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Tags: CUDA, Heterogeneous systems, Image processing, Medicine, nVidia, Tesla C1060

January 18, 2012 by hgpu

An Adaptive Step Size GPU ODE Solver for Simulating the Electric Cardiac Activity

Victor M. Garcia, A. Liberos, A.M. Climent, A. Vidal, J. Millet, A. Gonzalez

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Tags: CUDA, Differential equations, Heart, Medicine, nVidia, ODEs, Ordinary differential equations

January 17, 2012 by hgpu

Four-dimensional Cone Beam CT Reconstruction and Enhancement using a Temporal Non-Local Means Method

Xun Jia, Zhen Tian, Yifei Lou, Jan-Jakob Sonke, Steve B. Jiang

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Tags: Algorithms, Computed tomography, CT, CUDA, Medical Physics, Medicine, nVidia, Physics, Tesla C1060, Tomography

January 17, 2012 by hgpu

Efficient Convex Optimization Approaches to Variational Image Fusion

Jing Yuan, Brandon Miles, Juan Shi, Greg Garvin, Xue-Cheng Tai, Aaron Fenster

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

January 13, 2012 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

Joint-MAP Tomographic Reconstruction with Patch Similarity Based Mixture Prior Model

Multiscale Hemodynamics Using GPU Clusters

FPGA accelerated 3D reconstruction using compressive sensing

Graphical processing unit implementation of an integrated shape-based active contour: Application to digital pathology

Fast CT Image Processing using Parallelized Non-local Means

Accounting for Uncertainty in Medical Data: A CUDA Implementation of Normalized Convolution

Efficient fMRI Analysis and Clustering on GPUs

GPU Accelerated Registration of a Statistical Shape Model of the Lumbar Spine to 3D Ultrasound Images

Heterogeneous Computing for Vertebra Detection and Segmentation in X-Ray Images

An Adaptive Step Size GPU ODE Solver for Simulating the Electric Cardiac Activity

Four-dimensional Cone Beam CT Reconstruction and Enhancement using a Temporal Non-Local Means Method

Efficient Convex Optimization Approaches to Variational Image Fusion

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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