high performance computing on graphics processing units: hgpu.org

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

Empowering Visual Categorization With the GPU

Koen E. A. Van De Sande, Theo Gevers, Cees G. M. Snoek

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Tags: CUDA, Image processing, Information Retrieval, nVidia, nVidia GeForce GTX 260

March 12, 2011 by hgpu

Accelerating H.264 inter prediction in a GPU by using CUDA

Rodriguez, R. Martinez, J.L. Fernandez-Escribano, G. Claver, J.M. Sanchez, J.L.

Tags: CUDA, H.264/AVC, Image processing, nVidia, Video decoding

March 8, 2011 by hgpu

Preliminary implementation of VQ image coding using GPGPU

A. Wakatani

Tags: Algorithms, CUDA, Image processing, Nearest neighbour, nVidia

March 8, 2011 by hgpu

Frame-based parallelization of MPEG-4 on compute unified device architecture (CUDA)

Dishant Ailawadi, Milan Kumar Mohapatra, Ankush Mittal

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Tags: CUDA, Image processing, nVidia, nVidia Quadro FX 370, Video decoding

March 8, 2011 by hgpu

Parallel implementation of wavelet-based image denoising on programmable PC-grade graphics hardware

Yang Su, Zhijie Xu

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Tags: Cg, Image processing, nVidia, nVidia GeForce 7900 GTX, OpenGL, Signal denoising, Wavelet

March 5, 2011 by hgpu

Real-time dynamic tone-mapping operator on GPU

Mohamed Akil, Thierry Grandpierre, Laurent Perroton

Tags: Algorithms, Image processing, nVidia, nVidia GeForce 8800 GTX

March 3, 2011 by hgpu

GPU-Based Foreground-Background Segmentation Using an Extended Colinearity Criterion

Andreas Griesser, Stefaan De Roeck, Alexander Neubeck, Luc Van Gool

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Tags: Cg, Computer vision, Image processing, nVidia, nVidia GeForce 6800 GT, Real-time graphics

February 26, 2011 by hgpu

Efficient GPU-Accelerated Elastic Image Registration

Daniel Ruijters, Bart M. ter Haar Romeny, Paul Suetens

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Tags: Image processing, Image registration, Medicine, nVidia, nVidia Quadro FX 3500, OpenGL

February 26, 2011 by hgpu

A Watermarking Co-Processor for New Generation Graphics Processing Units

Saraju P. Mohanty, Nishikanta Pati, Elias Kougianos

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Tags: Algorithms, Image processing, Security

February 26, 2011 by hgpu

Real-time blood flow visualization using the graphics processing unit

Owen Yang, David Cuccia, Bernard Choi

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Source codes

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

February 26, 2011 by hgpu

Pyramid Methods in GPU-Based Image Processing

Magnus Strengert, Martin Kraus, and Thomas Ertl

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce 7800 GTX, OpenGL, Programming techniques

February 25, 2011 by hgpu

Parallel Image Processing Based on CUDA

Zhiyi Yang, Yating Zhu, Yong Pu

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Tags: Algorithms, CUDA, Image processing, nVidia

February 25, 2011 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

Empowering Visual Categorization With the GPU

Accelerating H.264 inter prediction in a GPU by using CUDA

Preliminary implementation of VQ image coding using GPGPU

Frame-based parallelization of MPEG-4 on compute unified device architecture (CUDA)

Parallel implementation of wavelet-based image denoising on programmable PC-grade graphics hardware

Real-time dynamic tone-mapping operator on GPU

GPU-Based Foreground-Background Segmentation Using an Extended Colinearity Criterion

Efficient GPU-Accelerated Elastic Image Registration

A Watermarking Co-Processor for New Generation Graphics Processing Units

Real-time blood flow visualization using the graphics processing unit

Pyramid Methods in GPU-Based Image Processing

Parallel Image Processing Based on CUDA

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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