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GPU-Based Nonlocal Filtering for Large Scale SAR Processing

Gerald Baier, Xiao Xiang Zhu

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Tags: Filtering, Image processing, nVidia, OpenCL, SAR, Signal denoising, Signal processing, Tesla K40

December 17, 2016 by hgpu

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

Kai Zhang, Wangmeng Zuo, Yunjin Chen, Deyu Meng, Lei Zhang

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Tags: CNN, CUDA, Deep learning, Image processing, Matlab, nVidia, nVidia GeForce GTX Titan X, Package, Signal denoising

August 18, 2016 by hgpu

Automatic Detection and Denoising of Signals in Large Geophysical Datasets

Gabriel O. Trisca

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Tags: Aparapi, Computer science, Machine learning, Neural networks, nVidia, nVidia GeForce GTX Titan, OpenCL, RNN, Seismology, Sensing, Signal denoising, Tesla K20, Thesis

March 20, 2016 by hgpu

Fast and Accurate Poisson Denoising with Optimized Nonlinear Diffusion

Wensen Feng, Yunjin Chen

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Tags: CNN, Computer science, Computer vision, Microscopy, nVidia, nVidia GeForce GTX 780 Ti, Signal denoising

October 13, 2015 by hgpu

On GPU-Accelerated Fast Direct Solvers and Their Applications in Image Denoising

Mirko Myllykoski

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce GTX 580, OpenCL, Signal denoising, Tesla K40, Thesis

September 5, 2015 by hgpu

Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration

Yunjin Chen, Thomas Pock

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 780 Ti, Package, Signal denoising

August 13, 2015 by hgpu

Risk Estimation Without Using Stein’s Lemma — Application to Image Denoising

Sagar Venkatesh Gubbi, Chandra Sekhar Seelamantula

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Tags: ATI, ATI Radeon HD 7950, Computer vision, Image processing, OpenCL, Package, Signal denoising

December 9, 2014 by hgpu

Quantum Boolean Image Denoising

Mario Mastriani

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Tags: Algorithms, Filtering, Image processing, nVidia, OpenCL, Signal denoising, Tesla C2050

August 18, 2014 by hgpu

Image Noise Removal on Heterogeneous CPU-GPU Configurations

Maria G. Sanchez, Vicente Vidal, Josep Arnal, Anna Vidal

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Tags: Algorithms, CUDA, Filtering, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GT 120, OpenMP, Signal denoising

June 27, 2014 by hgpu

Non-separable 2D, 3D and 4D filtering with CUDA

Anders Eklund, Paul Dufort

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Tags: CUDA, FFT, Filtering, Image processing, nVidia, nVidia GeForce GTX 680, Package, Signal denoising

May 5, 2014 by hgpu

3D Non-Local Means denoising via multi-GPU

Giuseppe Palma, Francesco Piccialli, Pasquale De Michele, Salvatore Cuomo, Marco Comerci, Pasquale Borrelli, Bruno Alfano

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Tags: Algorithms, CUDA, Filtering, Image processing, nVidia, Signal denoising, Tesla S2050

October 4, 2013 by hgpu

P-HGRMS: A Parallel Hypergraph Based Root Mean Square Algorithm for Image Denoising

Tejaswi Agarwal, Saurabh Jha, B. Rajesh Kanna

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Tags: Algorithms, CUDA, Image processing, nVidia, Signal denoising, Tesla M2050

June 25, 2013 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

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high performance computing on graphics processing units: hgpu.org

GPU-Based Nonlocal Filtering for Large Scale SAR Processing

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

Automatic Detection and Denoising of Signals in Large Geophysical Datasets

Fast and Accurate Poisson Denoising with Optimized Nonlinear Diffusion

On GPU-Accelerated Fast Direct Solvers and Their Applications in Image Denoising

Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration

Risk Estimation Without Using Stein’s Lemma — Application to Image Denoising

Quantum Boolean Image Denoising

Image Noise Removal on Heterogeneous CPU-GPU Configurations

Non-separable 2D, 3D and 4D filtering with CUDA

3D Non-Local Means denoising via multi-GPU

P-HGRMS: A Parallel Hypergraph Based Root Mean Square Algorithm for Image Denoising

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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