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

Using OpenCL to Implement Median Filtering and RSA Algorithms: Two GPGPU Application Case Studies

Lukas Gillsjo

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Tags: Algorithms, ATI, ATI Radeon R9 280X, Computer science, Filtering, Image processing, nVidia, OpenCL, RSA, Security, Tesla M2050, Thesis

April 4, 2015 by hgpu

GPU Declarative Framework

Robert W. Senser, Jr.

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Tags: AMD Radeon R9 270, ATI, Code generation, Computer science, Filtering, Image processing, Matrix inversion, nVidia, OpenCL, Sorting, Tesla S2050, Tesla T20, Thesis

December 1, 2014 by hgpu

A GPU-based framework for efficient image processing

Per Karlsson

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Tags: CUDA, GLSL, Image processing, nVidia, nVidia GeForce GTX 760, OpenCL, OpenGL, Python, Thesis

November 20, 2014 by hgpu

Parallelization techniques of the x264 video encoder

Daniel Ruiz Munoz

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Tags: Compression, CUDA, H.264/AVC, Image processing, nVidia, Thesis

November 5, 2014 by hgpu

Hybrid CPU-GPU Implementation of Tracking-Learning-Detection Algorithm

Ilker Gurcan

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Tags: CUDA, Image processing, nVidia, Security, Tesla K40, Thesis, Video tracking

October 18, 2014 by hgpu

Decoupling algorithms from the organization of computation for high performance image processing

Fredo Durand, Saman Amarashinghe

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Tags: Algorithms, CUDA, Image processing, nVidia, Sensing, Tesla C2070, Thesis

September 29, 2014 by hgpu

GPU Accelerated Parallel Iris Segmentation

Kritika Kurani

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Tags: Algorithms, Biometrics, CUDA, Image processing, nVidia, nVidia Quadro 1000 M, Thesis

September 17, 2014 by hgpu

Fast and Efficient Lossless Image Compression Based on CUDA Parallel Wavelet Tree Encoding

Jingqi Ao

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, nVidia GeForce GTX 570, Thesis, Wavelet

July 7, 2014 by hgpu

C and CUDA Implementation for SIRT and SART Reconstruction Algorithms

Shan He

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Tags: CUDA, Image processing, Image reconstruction, nVidia, nVidia GeForce GTX 660, Thesis

June 26, 2014 by hgpu

Improved Distance Weighted GPU-based 3D Ultrasound Reconstruction Methods

Tord Oygard

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Tags: Algorithms, ATI, ATI Radeon HD 6470 M, Image processing, Nearest neighbour, OpenCL, Thesis, Ultrasound

June 16, 2014 by hgpu

Brain perfusion imaging: performance and accuracy

F. Zhu

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Tags: Computed tomography, CT, CUDA, Image processing, Magnetic resonance imaging, Medicine, MRI, nVidia, nVidia GeForce GTX 280, Thesis

June 7, 2014 by hgpu

Real-time Image Processing on Low Cost Embedded Computers

Sunil Shah

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Source codes

Tags: ARM, Computer vision, Image processing, OpenCV, Package, Performance, Thesis

May 15, 2014 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Theses

Using OpenCL to Implement Median Filtering and RSA Algorithms: Two GPGPU Application Case Studies

GPU Declarative Framework

A GPU-based framework for efficient image processing

Parallelization techniques of the x264 video encoder

Hybrid CPU-GPU Implementation of Tracking-Learning-Detection Algorithm

Decoupling algorithms from the organization of computation for high performance image processing

GPU Accelerated Parallel Iris Segmentation

Fast and Efficient Lossless Image Compression Based on CUDA Parallel Wavelet Tree Encoding

C and CUDA Implementation for SIRT and SART Reconstruction Algorithms

Improved Distance Weighted GPU-based 3D Ultrasound Reconstruction Methods

Brain perfusion imaging: performance and accuracy

Real-time Image Processing on Low Cost Embedded Computers

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

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