high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Image and Signal Processing

Discrete Shearlet Transform on GPU with Applications in Anomaly Detection and Denoising

Xavier Gibert Serra, Vishal M. Patel, Demetrio Labate, Rama Chellappa

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Tags: Algorithms, CUDA, FFT, Image processing, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 690, Package

November 8, 2013 by hgpu

Computer Tomography and Ultrasonography Image Registration Based on the Cooperation of GPU and CPU

Ying-Chih Lin, Chien-Liang Huang, Chin-Sheng Chen, Wen-Chung Chang, Yu-Jen Chen, Chia-Yuan Liu

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Tags: Algorithms, CUDA, Filtering, Image processing, Image registration, Medicine, nVidia, nVidia GeForce GTX 470, Tomography

November 2, 2013 by hgpu

GPU-Based Image Segmentation Using Level Set Method With Scaling Approach

Zafer Guler, Ahmet Cinar

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Tags: Algorithms, CUDA, Image processing, MRI, nVidia, nVidia GeForce GTX 660 Ti, Partial differential equations, PDEs

October 30, 2013 by hgpu

Airborne Downward Looking Sparse Linear Array 3-D SAR Heterogeneous Parallel Simulation

Xueming Peng, Yanping Wang, Wen Hong, Weixian Tan, Yirong Wu

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Tags: Algorithms, CUDA, Heterogeneous systems, Image processing, Image reconstruction, nVidia, Sensing

October 27, 2013 by hgpu

A Parallel Depth-aided Exemplar-based Inpainting for Real-time View Synthesis on GPU

Zheng Tian, Cheng Xu, Xiaoyun Deng

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Tags: Algorithms, Computer science, CUDA, Image processing, nVidia, nVidia GeForce GTS 450

October 26, 2013 by hgpu

A Parallel PSO Algorithm for a Watermarking Application on a GPU

Edgar Garcia Cano, Katya Rodriguez

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Tags: Algorithms, CUDA, Image processing, nVidia, Particle swarm optimization, Security, Tesla C1060

October 24, 2013 by hgpu

Fingerprint Local Invariant Feature Extraction on GPU with CUDA

Ali Ismail Awad

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Tags: Algorithms, Biometrics, Computer science, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GT 430, SIFT

October 22, 2013 by hgpu

An OpenCL-based Implementation of H.264 Encoder

Young Chun Kwon, Chanho Park, Daeseok Oh, WooSuk Jang, Nakhoon Baek

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Tags: H.264/AVC, Image processing, nVidia, nVidia GeForce GTX 560 Ti, OpenCL, Video encoding

October 21, 2013 by hgpu

Multi-Scale Scheduling Techniques for Signal Processing Systems

Zheng Zhou

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Tags: Algorithms, CUDA, DSP, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, Particle swarm optimization, Signal processing, Thesis

October 19, 2013 by hgpu

Performance Comparison of GPU, DSP and FPGA implementations of image processing and computer vision algorithms in embedded systems

Egil Fykse

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Tags: Benchmarking, Computer science, Computer vision, CUDA, DSP, FPGA, Image processing, nVidia, nVidia GeForce GTX 660 Ti, nVidia Quadro 1000 M, OpenCV, Performance, Thesis

October 15, 2013 by hgpu

Point to Line Mappings and Other Line Parameterizations not only for Hough Transform

Jiri Havel

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 280, OpenGL, Pattern recognition

October 15, 2013 by hgpu

Massively Parallel Lossless Compression of Medical Images Using Least-Squares Prediction and Arithmetic Coding

Andreas Weinlich, Johannes Rehm, Peter Amon, Andreas Hutter, Andre Kaup

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Tags: Compression, CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 480

October 15, 2013 by hgpu

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

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

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

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

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high performance computing on graphics processing units: hgpu.org

Applications

Discrete Shearlet Transform on GPU with Applications in Anomaly Detection and Denoising

Computer Tomography and Ultrasonography Image Registration Based on the Cooperation of GPU and CPU

GPU-Based Image Segmentation Using Level Set Method With Scaling Approach

Airborne Downward Looking Sparse Linear Array 3-D SAR Heterogeneous Parallel Simulation

A Parallel Depth-aided Exemplar-based Inpainting for Real-time View Synthesis on GPU

A Parallel PSO Algorithm for a Watermarking Application on a GPU

Fingerprint Local Invariant Feature Extraction on GPU with CUDA

An OpenCL-based Implementation of H.264 Encoder

Multi-Scale Scheduling Techniques for Signal Processing Systems

Performance Comparison of GPU, DSP and FPGA implementations of image processing and computer vision algorithms in embedded systems

Point to Line Mappings and Other Line Parameterizations not only for Hough Transform

Massively Parallel Lossless Compression of Medical Images Using Least-Squares Prediction and Arithmetic Coding

Recent source codes

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

ROCm's implementation of Gromacs

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

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