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Parallelism, Patterns, and Performance in Iterative MRI Reconstruction

Mark Murphy

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Tags: Algorithms, Compression, CUDA, FFT, Image processing, Magnetic resonance imaging, Medicine, MRI, nVidia, nVidia GeForce GTX 580, Package, Thesis, Wavelet

December 29, 2011 by hgpu

Efficient data structures for piecewise-smooth video processing

Jiawen Chen

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce 6800 GT, nVidia GeForce 7800 GT, nVidia GeForce 8800 GTX, Thesis

December 18, 2011 by hgpu

Accelerating non-linear image registration with GPUs

Paul Ross

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Tags: CUDA, Image processing, Image registration, nVidia, Tesla C2050, Thesis

December 12, 2011 by hgpu

GPU-Based Liquid Crystal Display Processing Platform

Song Peng

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Tags: Algorithms, CUDA, Image generation, Image processing, nVidia, nVidia Quadro FX 580, Thesis

December 6, 2011 by hgpu

On the design of architecture-aware algorithms for emerging applications

Seunghwa Kang

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Tags: Algorithms, Benchmarking, Biology, Cell processor, Computational biology, CUDA, Image processing, MapReduce, nVidia, Package, Tesla C1060, Thesis

December 2, 2011 by hgpu

Domain-Specific Optimizations Supporting Real-Time Image Compression

Jiri Matela

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Tags: Compression, CUDA, Image processing, nVidia, nVidia GeForce GTX 580, Optimization, Thesis

November 28, 2011 by hgpu

Generation of planar radiographs from 3D anatomical models using the GPU

Andre dos Santos Cardoso

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Tags: Algorithms, Benchmarking, CUDA, Data parallelism, Image processing, Image registration, Medicine, nVidia, nVidia GeForce GT 240, Optimization, Thesis

November 10, 2011 by hgpu

Using OpenCL for image analysis

Niklas Frisk

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Tags: Algorithms, Benchmarking, Image processing, Java, nVidia, nVidia GeForce 8600 M, OpenCL, Thesis

October 29, 2011 by hgpu

GPU Accelerated X-Ray Image Enhancement

Mark James Brotherton

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Tags: Algorithms, DirectX, HLSL, Image processing, OpenMP, Review, Thesis

October 20, 2011 by hgpu

Effects of compression on data intensive algorithms

Ahmed Adnan Aqrawi

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Tags: Algorithms, Compression, Computer science, CUDA, Filtering, Image processing, nVidia, Seismology, Tesla C1060, Tesla C2050, Thesis

October 15, 2011 by hgpu

Computer Vision Models in Surveillance Robotics

A. Moro

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Tags: Computer science, Computer vision, CUDA, Image processing, nVidia GeForce 9800 GT, nVidia GeForce GTX 295, Thesis

October 9, 2011 by hgpu

Parallel Computing based on GPGPU using Compute Unified Device Architecture

Lifeng Xu

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 580, OpenMP, Optimization, Thesis

October 1, 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

Theses

Parallelism, Patterns, and Performance in Iterative MRI Reconstruction

Efficient data structures for piecewise-smooth video processing

Accelerating non-linear image registration with GPUs

GPU-Based Liquid Crystal Display Processing Platform

On the design of architecture-aware algorithms for emerging applications

Domain-Specific Optimizations Supporting Real-Time Image Compression

Generation of planar radiographs from 3D anatomical models using the GPU

Using OpenCL for image analysis

GPU Accelerated X-Ray Image Enhancement

Effects of compression on data intensive algorithms

Computer Vision Models in Surveillance Robotics

Parallel Computing based on GPGPU using Compute Unified Device Architecture

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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