high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Image and Signal Processing » Image processing

Defocus Magnification with CUDA

Chih-Wei Chen, Chun-Ta Lin, Yu-Lin Sung, Chiou-Shann Fuh

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Tags: Algorithms, CUDA, Image processing, nVidia

January 26, 2012 by hgpu

Accounting for Uncertainty in Medical Data: A CUDA Implementation of Normalized Convolution

Stefan Lindholm, Joel Kronander

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Tags: CUDA, Image generation, Image processing, Medicine, nVidia, nVidia GeForce GTX 560 Ti, Signal processing

January 26, 2012 by hgpu

Visual Data Mining Using the Point Distribution Tensor

Marcel Ritter, Werner Benger, Biagio Cosenza, Keera Pullman, Hans Moritsch, Wolfgang Leimer

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Tags: Algorithms, Data mining, Geoscience, Image processing, nVidia, nVidia Quadro FX 3800 M, OpenCL, Visualization

January 26, 2012 by hgpu

Parallel SIFT-detector implementation for images matching

Anton I. Vasilyev, Andrey A. Boguslavskiy, Sergey M. Sokolov

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 260, SIFT

January 24, 2012 by hgpu

A Computationally Efficient Approach for Exemplar-based Color Image Inpainting using GPU

Dibyam Pradhan, Naveen M., Sai Hareesh A., Pallav Kumar Baruah, Venkatachalam Chandrasekaran

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GT 310 M, Tesla C2050

January 23, 2012 by hgpu

Convolution of large 3D images on GPU and its decomposition

Pavel Karas, David Svoboda

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Tags: Algorithms, CUDA, FFT, Image processing, nVidia, nVidia GeForce GTX 295

January 23, 2012 by hgpu

Object Oriented Framework for CUDA based Pyramidal Image Blending

Pritam Prakash Shete, Venkat P. P. K., Dinesh M. Sarode, Mohini Laghate, S. K. Bose, A. G. Apte

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia Quadro FX 4600

January 23, 2012 by hgpu

Real-time Compressive Sensing MRI Reconstruction using GPU Computing and Split Bregman Methods

David S. Smith, John. C. Gore, Thomas E. Yankeelov, E. Brian Welch

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Tags: Algorithms, CUDA, Image processing, MRI, nVidia, Tesla C2050

January 23, 2012 by hgpu

Plenoptic Rendering With Interactive Performance Using GPUs

Andrew Lumsdaine, Georgi Chunev, Todor Georgiev

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Tags: Algorithms, Image processing, nVidia, nVidia Quadro FX 5600, OpenGL, Rendering

January 21, 2012 by hgpu

Stochastic Progressive Photon Mapping for Dynamic Scenes

Maayan Weiss, Thorsten Grosch

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Tags: 3D Graphics and Realism, Algorithms, Image processing, nVidia, nVidia GeForce GTX 285

January 20, 2012 by hgpu

Efficient fMRI Analysis and Clustering on GPUs

B.E. Dharneesh Talasu

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Tags: Clustering, CUDA, Heterogeneous systems, Hierarchical clustering, Image processing, Medicine, MRI, nVidia, nVidia GeForce 9400 M, Thesis

January 20, 2012 by hgpu

Coherent Spatiotemporal Filtering, Upsampling and Rendering of RGBZ Videos

Christian Richardt, Carsten Stoll, Neil A. Dodgson, Hans-Peter Seidel, Christian Theobalt

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Filtering, Image processing, Rendering

January 20, 2012 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Defocus Magnification with CUDA

Accounting for Uncertainty in Medical Data: A CUDA Implementation of Normalized Convolution

Visual Data Mining Using the Point Distribution Tensor

Parallel SIFT-detector implementation for images matching

A Computationally Efficient Approach for Exemplar-based Color Image Inpainting using GPU

Convolution of large 3D images on GPU and its decomposition

Object Oriented Framework for CUDA based Pyramidal Image Blending

Real-time Compressive Sensing MRI Reconstruction using GPU Computing and Split Bregman Methods

Plenoptic Rendering With Interactive Performance Using GPUs

Stochastic Progressive Photon Mapping for Dynamic Scenes

Efficient fMRI Analysis and Clustering on GPUs

Coherent Spatiotemporal Filtering, Upsampling and Rendering of RGBZ Videos

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

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

Most viewed papers (last 30 days)