Signal denoising | Page 2

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Performance Analysis on Several GPU Architectures of an Algorithm for Noise Removal

M. G. Sanchez, V. Vidal, J. Bataller, G. Verdu

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GT 120, Signal denoising, Tesla M2050

September 1, 2012 by hgpu

A Parallel Edge Preserving Algorithm for Salt and Pepper Image Denoising

M. Aldinucci, C. Spampinato, M. Drocco, M. Torquati, S. Palazzo

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Tags: Algorithms, CUDA, Image processing, nVidia, Signal denoising, Tesla C2050

July 23, 2012 by hgpu

Performance Tuning for CUDA-Accelerated Neighborhood Denoising Filters

Ziyi Zheng, Wei Xu and Klaus Mueller

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Tags: Computed tomography, CT, CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 480, Performance, Signal denoising

November 9, 2011 by hgpu

Denoising Volumetric Data on GPU

Jan Horacek, Jan Kolomaznik, Josef Pelikan, Martin Horak

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Tags: Algorithms, Image processing, Medicine, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 275, nVidia GeForce GTX 460, OpenCL, Signal denoising, Tomography

October 10, 2011 by hgpu

Robust non-local denoising of colored depth data

Benjamin Huhle, Timo Schairer, Philipp Jenke, Wolfgang Strasser

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, Signal denoising

August 15, 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 virtual environment signal extraction and denoising using programmable graphics hardware

Yang Su, Zhi-Jie Xu, Xiang-Qian Jiang

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

November 27, 2010 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

Performance Analysis on Several GPU Architectures of an Algorithm for Noise Removal

A Parallel Edge Preserving Algorithm for Salt and Pepper Image Denoising

Performance Tuning for CUDA-Accelerated Neighborhood Denoising Filters

Denoising Volumetric Data on GPU

Robust non-local denoising of colored depth data

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

Real-time virtual environment signal extraction and denoising using programmable graphics hardware

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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