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hgpu.org » Applications » Image and Signal Processing » Image processing

Assembling large mosaics of electron microscope images using GPU

Kannan Umadevi Venkataraju, Mark Kim, Dan Gerszewski, James R. Anderson, Mary Hall

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Tags: CUDA, Electron microscopy, Image processing, nVidia, nVidia GeForce GTX 280

February 21, 2011 by hgpu

How GPUs Can Improve the Quality of Magnetic Resonance Imaging

Sam S. Stone, Haoran Yi, Justin P. Haldar, Wen-mei W. Hwu, Bradley P. Sutton, and Zhi-Pei Liang

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Tags: CUDA, FFT, Image processing, Image reconstruction, Magnetic resonance imaging, Medicine, MRI, nVidia, nVidia GeForce 8800 GTX

February 20, 2011 by hgpu

Decoupled Access/Execute Metaprogramming for GPU-Accelerated Systems

Lee Howes, Anton Lokhmotov, Paul H.J. Kelly, Alastair F. Donaldson

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Tags: CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 280, OpenCL

February 19, 2011 by hgpu

Accelerating Image Feature Comparisons using CUDA on Commodity Hardware

Seth Warn, Wesley Emeneker, John Gauch, Jackson Cothren, Amy Apon

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Tags: CUDA, GPU cluster, Image processing, Image registration, nVidia, nVidia GeForce GTX 295, OpenMP

February 18, 2011 by hgpu

Tetrahedral Interpolation for Deformable Image Registration on GPUs

Cedomir Segulja, Tianyi David Han, Tarek S. Abdelrahman, Kristy Brock, Joanne Moseley

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Tags: CUDA, Image processing, Image registration, nVidia, nVidia GeForce GTX 480

February 18, 2011 by hgpu

A meshless hierarchical representation for light transport

Jaakko Lehtinen, Matthias Zwicker, Emmanuel Turquin, Janne Kontkanen, Fredo Durand, Francois Sillion, and Timo Aila

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce 8800 Ultra, Rendering

February 12, 2011 by hgpu

Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition

Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella, Juergen Schmidhuber

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Tags: Artificial intelligence, CUDA, Image processing, Image recognition, Neural and Evolutionary Computing, Neural networks, nVidia, nVidia GeForce GTX 280

February 9, 2011 by hgpu

Deep, Big, Simple Neural Nets for Handwritten Digit Recognition

Dan C. Ciresan, Ueli Meier, Luca M. Gambardella, Jurgen Schmidhuber

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Tags: Artificial intelligence, CUDA, Image processing, Image recognition, Neural and Evolutionary Computing, Neural networks, nVidia

February 9, 2011 by hgpu

Real-time GPU color-based segmentation of football players

Miguel Angel Montanes Laborda, Enrique F. Torres Moreno, Jesus Martinez del Rincon and Jose Elias Herrero Jaraba

Tags: CUDA, Image processing, Image recognition, nVidia

February 9, 2011 by hgpu

Towards On-Line Digital Doubles

Andreas Griesser, Nico Cornelis, Luc J. Van Gool

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Tags: Computer vision, Image processing, nVidia, nVidia GeForce 6800 GT, Shaders

February 8, 2011 by hgpu

GPU-accelerated surface denoising and morphing with lattice Boltzmann scheme

Ye Zhao

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Tags: Filtering, Image processing, Lattice Boltzmann model, nVidia, nVidia GeForce 8800 GTX, OpenGL

February 6, 2011 by hgpu

Real-Time Prediction of Brain Shift Using Nonlinear Finite Element Algorithms

Grand Roman Joldes, Adam Wittek, Mathieu Couton, Simon K. Warfield and Karol Miller

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Tags: CUDA, Finite element method, Image processing, Image registration, Medicine, MRI, nVidia

February 5, 2011 by hgpu

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

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high performance computing on graphics processing units: hgpu.org

Applications

Assembling large mosaics of electron microscope images using GPU

How GPUs Can Improve the Quality of Magnetic Resonance Imaging

Decoupled Access/Execute Metaprogramming for GPU-Accelerated Systems

Accelerating Image Feature Comparisons using CUDA on Commodity Hardware

Tetrahedral Interpolation for Deformable Image Registration on GPUs

A meshless hierarchical representation for light transport

Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition

Deep, Big, Simple Neural Nets for Handwritten Digit Recognition

Real-time GPU color-based segmentation of football players

Towards On-Line Digital Doubles

GPU-accelerated surface denoising and morphing with lattice Boltzmann scheme

Real-Time Prediction of Brain Shift Using Nonlinear Finite Element Algorithms

Recent source codes

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Most viewed papers (last 30 days)