high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Image and Signal Processing

Parallel Implementation of Niblack’s Binarization Approach on CUDA

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

GPU-based Signal Processing Scheme for Bioinspired Optical Flow

Fermin Ayuso, Carlos Garcia, Guillermo Botella, Manuel Prieto, Francisco Tirado

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Tags: CUDA, Filtering, nVidia, Optical flow, Signal processing, Tesla C1060

November 8, 2011 by hgpu

Real-time Sliding Phase Vocoder using a Commodity GPU

Russell Bradford, John ffitch, Richard Dobson

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Tags: Algorithms, CUDA, nVidia, nVidia GeForce GTX 470, Signal processing

November 6, 2011 by hgpu

Accelerating a TV based JPEG decompression algorithm with Cuda

Martin Holler

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

November 4, 2011 by hgpu

A CUDA Implementation of Independent Component Analysis in the Time-Frequency Domain

Radoslaw Mazur, Alfred Mertins

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Tags: Algorithms, CUDA, nVidia, nVidia GeForce 8800 GTS, Package, Signal processing

November 4, 2011 by hgpu

A Mutable Hardware Abstraction to Replace Threads

Jan Sukenik

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Tags: Algorithms, Factorization, Image processing, MapReduce

November 3, 2011 by hgpu

Parallelization of the Generalized Hough Transform on GPU

Juan Gomez-Luna, Jose Maria Gonzalez-Linares, Jose Ignacio Benavides, Emilio L. Zapata, Nicolas Guil

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

November 3, 2011 by hgpu

True 4D Image Denoising on the GPU

Anders Eklund, Mats Andersson, Hans Knutsson

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Tags: Algorithms, Computational Complexity, Computed tomography, CT, CUDA, FFT, Filtering, Image processing, Medicine, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 580, Tomography

November 3, 2011 by hgpu

GrIP: A Framework for Experiments with Screen Space Algorithms

Thorsten Roth, Andre Hinkenjann

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480

November 3, 2011 by hgpu

Accelerating Multi-Scale Flows for LDDKBM Diffeomorphic Registration

Stefan Sommer

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Tags: Algorithms, CUDA, Image processing, Image registration, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 590, OpenCL

November 3, 2011 by hgpu

CPU and GPU Co-processing for Sound

Aleksander Gjermundsen

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Computer science, Filtering, Linear Algebra, nVidia, nVidia GeForce GTX 280, OpenCL, Package, Signal processing, Tesla C2050, Thesis

October 30, 2011 by hgpu

Using OpenCL for image analysis

Niklas Frisk

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Tags: Algorithms, Benchmarking, Image processing, Java, nVidia, nVidia GeForce 8600 M, OpenCL, Thesis

October 29, 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

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high performance computing on graphics processing units: hgpu.org

Applications

Parallel Implementation of Niblack’s Binarization Approach on CUDA

GPU-based Signal Processing Scheme for Bioinspired Optical Flow

Real-time Sliding Phase Vocoder using a Commodity GPU

Accelerating a TV based JPEG decompression algorithm with Cuda

A CUDA Implementation of Independent Component Analysis in the Time-Frequency Domain

A Mutable Hardware Abstraction to Replace Threads

Parallelization of the Generalized Hough Transform on GPU

True 4D Image Denoising on the GPU

GrIP: A Framework for Experiments with Screen Space Algorithms

Accelerating Multi-Scale Flows for LDDKBM Diffeomorphic Registration

CPU and GPU Co-processing for Sound

Using OpenCL for image analysis

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

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