high performance computing on graphics processing units: hgpu.org

hgpu.org » Applications » Image and Signal Processing

Fast Gather-based Construction of Stereoscopic Images Using Reprojection

Marries van de Hoef, Bas Zalmstra

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Tags: ATI, ATI Radeon HD 5670, ATI Radeon HD 5850, Benchmarking, Cg, Image processing, nVidia, nVidia GeForce 9600 GT, OpenGL, Package

November 18, 2011 by hgpu

Neon: A Domain-Specific Programming Language for Image Processing

Brian Guenter, Diego Nehab

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Tags: ATI, ATI Radeon HD 4850, ATI Radeon HD 5870, Code generation, DirectX, High-level Languages, HLSL, Image processing, nVidia, nVidia GeForce GTX 470, Pixel shaders

November 18, 2011 by hgpu

Compilation for Heterogeneous Computing: Automating Analyses, Transformations and Decisions

Serge Guelton, Francois Irigoin, Ronan Keryell

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Tags: Code generation, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia Quadro FX 2700 M, Package, Signal processing

November 17, 2011 by hgpu

The role of GPU computing in medical image analysis and visualization

S. Moulik, W. Boonn

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Tags: Algorithms, Computer science, CUDA, Image processing, Medicine, nVidia, OpenCL, OpenGL, Visualization

November 17, 2011 by hgpu

Scope for performance enhancement of CMU Sphinx by parallelising with OpenCL

S. C. Harish, D. Balaji, M. Vignesh, P. Deepan Kumar, V. Adinarayanan

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Tags: OpenCL, Signal processing, Speech recognition

November 16, 2011 by hgpu

GPU Based Tissue Doppler Imaging

Zhengjuan Fan, Li Wang, Chaowei Tan, D.C. Liu

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Tags: Algorithms, CUDA, Heart, Medicine, nVidia, nVidia GeForce GT 250, Signal processing, Visualization

November 14, 2011 by hgpu

Fast Level Set Segmentation of Biomedical Images using Graphics Processing Units

Hormuz Mostofi

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Tags: Algorithms, Computer vision, CUDA, Image processing, Medicine, nVidia, nVidia GeForce 8600 M GT, Package

November 13, 2011 by hgpu

Compiling for a heterogeneous vector image processor

Fabien Coelho, Francois Irigoin

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Tags: Compilers, Heterogeneous systems, Image processing

November 12, 2011 by hgpu

Synthetic Aperture Beamformation using the GPU

Jens Munk Hansen, Dana Schaa, Jorgen Arendt Jensen

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Tags: ATI, ATI Radeon HD 5870, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenCL, Signal processing, Ultrasound

November 11, 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

Parallel Implementation of Otsu’s Binarization Approach on GPU

Brij Mohan Singh, Rahul Sharma, Ankush Mittal, Debashish Ghosh

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Tags: Algorithms, Computer science, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 9500 GT, Pattern recognition

November 9, 2011 by hgpu

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

Engineering Supercomputing Platforms for Biomolecular Applications

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

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

Can Large Language Models Predict Parallel Code Performance?

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high performance computing on graphics processing units: hgpu.org

Applications

Fast Gather-based Construction of Stereoscopic Images Using Reprojection

Neon: A Domain-Specific Programming Language for Image Processing

Compilation for Heterogeneous Computing: Automating Analyses, Transformations and Decisions

The role of GPU computing in medical image analysis and visualization

Scope for performance enhancement of CMU Sphinx by parallelising with OpenCL

GPU Based Tissue Doppler Imaging

Fast Level Set Segmentation of Biomedical Images using Graphics Processing Units

Compiling for a heterogeneous vector image processor

Synthetic Aperture Beamformation using the GPU

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

Parallel Implementation of Otsu’s Binarization Approach on GPU

Recent source codes

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

chemtrain: Training Molecular Dynamics Potentials in JAX

microSYCL: SYCL micro-benchmarks repository

XaaS containers

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

SYCL Container

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

Can Large Language Models Predict Parallel Code Performance?

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