Image processing | Page 35

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

Point to point processing of digital images using parallel computing

Eric Olmedo, Jorge de la Calleja, Antonio Benitez, Ma. Auxilio Medina

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GT 430

June 10, 2012 by hgpu

Fast Morphological Image Processing Open-Source Extensions for GPU processing with CUDA

Matthew J. Thurley, Victor Danell

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 470, Package, Signal processing

June 9, 2012 by hgpu

Decoupling Algorithms from Schedules for Easy Optimization of Image Processing Pipelines

Jonathan Ragan-Kelley, Andrew Adams, Sylvain Paris, Marc Levoy, Saman Amarasinghe, Fredo Durand

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Tags: Algorithms, CUDA, Filtering, Image processing, nVidia, Tesla C2070

June 8, 2012 by hgpu

Generating Device-specific GPU code for Local Operators in Medical Imaging

Richard Membarth, Frank Hannig, Jurgen Teich, Mario Korner, Wieland Eckert

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, Code generation, CUDA, Image processing, Medicine, nVidia, nVidia Quadro FX 5800, OpenCL, RapidMind, Tesla C2050

June 1, 2012 by hgpu

Accelerating an imaging spectroscopy algorithm for submerged marine environments using heterogeneous computing

Matthew Sellitto

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Tags: Algorithms, Heterogeneous systems, Image processing, nVidia, OpenCL, Optimization, Sensing, Tesla M2070, Thesis

May 30, 2012 by hgpu

Performance-Analysis-Based Acceleration of Image Quality Assessment

Thien Phan, Sohum Sohoni, Damon M. Chandler, Eric C. Larson

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 560 Ti

May 29, 2012 by hgpu

CUDA Implementation of Parallel Algorithms for Animal Noseprint Identification

Vincent Stanley Dayes

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Tags: Algorithms, CUDA, Image processing, Image registration, nVidia, nVidia GeForce 8400 GS, Thesis

May 29, 2012 by hgpu

Parallelization of the Local Threshold and Boolean Function Based Edge Detection Algorithm Using CUDA

Raka Jovanovic, Milan Tuba, Dana Simian

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 540 M

May 26, 2012 by hgpu

Using Compute Unified Device Architecture (CUDA) in Parallelizing Different Digital Image Processing Techniques

Mikaela Nadinne A. Silapan

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GT 520 M

May 25, 2012 by hgpu

Java on CUDA architecture

Jan Strnad

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Tags: Computer science, CUDA, Image processing, Java, Linear Algebra, Matrix multiplication, nVidia, Thesis

May 24, 2012 by hgpu

Medical Image Registration using OpenCL

Sachitsing Dwarkan

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Tags: Algorithms, ATI, ATI Radeon HD 5870, ATI Radeon HD 6750 M, Image processing, Image registration, Medicine, OpenCL, Software Engineering, Thesis

May 23, 2012 by hgpu

The Linear Direct Sparse Solver on GPU for Bundle Adjustment Method

Ivaneik Ondrej, Ivan Simecek

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Tags: Computer science, CUDA, Image processing, nVidia, nVidia GeForce GTX 570, Package, Sparse matrix, Thesis

May 19, 2012 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

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

Can Large Language Models Predict Parallel Code Performance?

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

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high performance computing on graphics processing units: hgpu.org

Applications

Point to point processing of digital images using parallel computing

Fast Morphological Image Processing Open-Source Extensions for GPU processing with CUDA

Decoupling Algorithms from Schedules for Easy Optimization of Image Processing Pipelines

Generating Device-specific GPU code for Local Operators in Medical Imaging

Accelerating an imaging spectroscopy algorithm for submerged marine environments using heterogeneous computing

Performance-Analysis-Based Acceleration of Image Quality Assessment

CUDA Implementation of Parallel Algorithms for Animal Noseprint Identification

Parallelization of the Local Threshold and Boolean Function Based Edge Detection Algorithm Using CUDA

Using Compute Unified Device Architecture (CUDA) in Parallelizing Different Digital Image Processing Techniques

Java on CUDA architecture

Medical Image Registration using OpenCL

The Linear Direct Sparse Solver on GPU for Bundle Adjustment Method

Recent source codes

CFAL-bench

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

Can Large Language Models Predict Parallel Code Performance?

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

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