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Image reconstruction in digital holographic microscopy on GPU

Andrej Krejcir

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Tags: Algorithms, CUDA, Image processing, Image reconstruction, Microscopy, nVidia, nVidia GeForce GTX 470, Optimization, Package, Thesis

July 21, 2013 by hgpu

Coating Process Monitoring Using Computer Vision

Erik Veijola

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Tags: Computer science, Computer vision, CUDA, Image processing, nVidia, OpenCV, Thesis

June 4, 2013 by hgpu

Point Spread Function Estimation of Solar Surface Images with a Cooperative Particle Swarm Optimization on GPUs

Peter Frank Perroni

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Tags: Algorithms, Astrophysics, Image processing, nVidia, OpenCL, Package, Particle swarm optimization, Tesla C2050, Thesis

May 16, 2013 by hgpu

Connecting Architecture, Fitness, Optimizations and Performance using an Anisotropic Diffusion Filter

Sumedh Naik

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Tags: ATI Radeon HD 5870, Computer science, CUDA, Filtering, Image processing, MPI, nVidia, OpenCL, Tesla C2050, Thesis

April 22, 2013 by hgpu

Automated and interactive approaches for optimal surface finding based segmentation of medical image data

Shanhui Sun

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Tags: CUDA, Image processing, Medicine, nVidia, Tesla C1060, Thesis, Ultrasound, Visualization

March 14, 2013 by hgpu

Using High Performance Computing to Improve Image Guided Cancer Treatment

Dante Gama Dessavre

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Tags: CUDA, Image processing, Medicine, nVidia, Radiotherapy, Tesla C2050, Thesis

February 18, 2013 by hgpu

Video coding on multicore graphics processors (GPUs)

Bruno Alexandre de Medeiros

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Tags: Compression, CUDA, Data parallelism, H.264/AVC, Image processing, nVidia, nVidia GeForce GTX 580, Thesis, Video encoding

January 11, 2013 by hgpu

A Method to Improve Interest Point Detection and its GPU Implementation

Prabakar Karuppannan Gunashekhar

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Tags: Algorithms, Image processing, nVidia, OpenCL, Thesis

January 11, 2013 by hgpu

Vision based Navigation (VBN) of Unmanned Aerial Vehicles (UAV)

Bassem Ibrahim Sheta

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Tags: Algorithms, CUDA, Earth and Space Sciences, Image processing, nVidia, nVidia GeForce GT 540 M, Thesis

December 30, 2012 by hgpu

Parallelized Segmentation of CT-Angiography datasets using CUDA

Daniel Fischl

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GT 425 M, Thesis

October 29, 2012 by hgpu

Exploring computational capabilities of GPUs using H.264 prediction algorithms

Magnus Funder Halldal

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Tags: Algorithms, CUDA, H.264/AVC, Image processing, nVidia, nVidia GeForce GTX 280, Thesis

October 29, 2012 by hgpu

Silhouette Extraction using Graphics Processing Units

Kristian Haga Karstensen

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Tags: Algorithms, Computer vision, Image processing, nVidia, nVidia GeForce GTX 460, OpenCL, Optimization, Package, Thesis

October 29, 2012 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

Theses

Image reconstruction in digital holographic microscopy on GPU

Coating Process Monitoring Using Computer Vision

Point Spread Function Estimation of Solar Surface Images with a Cooperative Particle Swarm Optimization on GPUs

Connecting Architecture, Fitness, Optimizations and Performance using an Anisotropic Diffusion Filter

Automated and interactive approaches for optimal surface finding based segmentation of medical image data

Using High Performance Computing to Improve Image Guided Cancer Treatment

Video coding on multicore graphics processors (GPUs)

A Method to Improve Interest Point Detection and its GPU Implementation

Vision based Navigation (VBN) of Unmanned Aerial Vehicles (UAV)

Parallelized Segmentation of CT-Angiography datasets using CUDA

Exploring computational capabilities of GPUs using H.264 prediction algorithms

Silhouette Extraction using Graphics Processing Units

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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