high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Image and Signal Processing

A Comparative Analysis of GPU Implementations of Spectral Unmixing Algorithms

Sergio Sanchez, Antonio Plaza

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 275, Tesla C1060

December 17, 2011 by hgpu

A Predictive Model for Solving Small Linear Algebra Problems in GPU Registers

Michael J. Anderson, David Sheffield, Kurt Keutzer

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Tags: Benchmarking, Computer science, CUDA, Factorization, Linear Algebra, nVidia, nVidia Quadro FX 6000, Package, Signal processing

December 16, 2011 by hgpu

Accelerating Live Graph-Cut-Based Object Tracking Using CUDA

Ismael Daribo, Zachary A. Garrett, Yuki Takaya, Hideo Saito

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Tags: Computer science, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

December 14, 2011 by hgpu

RaVioli: a GPU Supported High-Level Pseudo Real-time Video Processing Library

Katsuhiko Kondo, Takafumi Inaba, Hiroko Sakurai, Masaomi Ohno, Tomoaki Tsumura, Hiroshi Matsuo

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

December 13, 2011 by hgpu

Parallel Implementations of Beamforming Design and Filtering for Microphone Array Applications

Jorge Lorente, Gema Pinero, Antonio M. Vidal, Jose Antonio Belloch, Alberto Gonzalez

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Tags: Algorithms, CUDA, Filtering, nVidia, nVidia GeForce GTX 285, Signal processing

December 13, 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

A fast and intuitive visual programming language (VPL) for constructing Computer Vision and Image processing systems on GPUs

Tejas D Kulkarni

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Tags: Algorithms, Computer science, Computer vision, CUDA, Image processing, nVidia, Optical flow

December 12, 2011 by hgpu

Local Laplacian Filters: Edge-aware Image Processing with a Laplacian Pyramid

Sylvain Paris, Samuel W. Hasinoff, Jan Kautz

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Tags: Algorithms, Filtering, Image processing, Optimization, Package, Wavelet

December 10, 2011 by hgpu

A New Morphological Anomaly Detection Algorithm for Hyperspectral Images and its GPU Implementation

Abel Paz, Antonio Plaza

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 275

December 10, 2011 by hgpu

Fast and Robust Pyramid-based Image Processing

Sylvain Paris, Samuel W. Hasinoff, Jan Kautz, Mathieu Aubry, Fredo Durand

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Tags: Algorithms, Filtering, Image processing, nVidia, nVidia GeForce GTX 480

December 10, 2011 by hgpu

Real-time dual-mode standard/complex Fourier-domain OCT system using graphics processing unit accelerated 4D signal processing and visualization

Kang Zhang, Jin U. Kang

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Tags: CUDA, FFT, Medicine, nVidia, nVidia GeForce GTX 480, Rendering, Signal processing, Tomography, Visualization

December 10, 2011 by hgpu

Fast extraction of neuron morphologies from large-scale SBFSEM image stacks

Stefan Lang, Panos Drouvelis, Enkelejda Tafaj, Peter Bastian, Bert Sakmann

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Tags: Algorithms, Biology, CUDA, Electron microscopy, Image processing, Microscopy, Neuroscience, nVidia, Tesla C1060

December 8, 2011 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

A Comparative Analysis of GPU Implementations of Spectral Unmixing Algorithms

A Predictive Model for Solving Small Linear Algebra Problems in GPU Registers

Accelerating Live Graph-Cut-Based Object Tracking Using CUDA

RaVioli: a GPU Supported High-Level Pseudo Real-time Video Processing Library

Parallel Implementations of Beamforming Design and Filtering for Microphone Array Applications

Accelerating non-linear image registration with GPUs

A fast and intuitive visual programming language (VPL) for constructing Computer Vision and Image processing systems on GPUs

Local Laplacian Filters: Edge-aware Image Processing with a Laplacian Pyramid

A New Morphological Anomaly Detection Algorithm for Hyperspectral Images and its GPU Implementation

Fast and Robust Pyramid-based Image Processing

Real-time dual-mode standard/complex Fourier-domain OCT system using graphics processing unit accelerated 4D signal processing and visualization

Fast extraction of neuron morphologies from large-scale SBFSEM image stacks

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)