high performance computing on graphics processing units: hgpu.org

hgpu.org » Image processing

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

Egil Fykse

View

Download (PDF)

Source codes

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

View

Download (PDF)

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

View

Download (PDF)

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

October 15, 2013 by hgpu

CUDA-Accelerated ODETLAP: A Parallel Lossy Compression Implementation

Daniel N. Benedetti, W. Randolph Franklin, Wenli Li

View

Download (PDF)

Tags: Algorithms, Compression, CUDA, Differential equations, Image processing, nVidia, Partial differential equations, PDEs, Thrust

October 10, 2013 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

View

Download (PDF)

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

October 4, 2013 by hgpu

CUDA Enhanced Filtering in a Pipelined Video Processing Framework

Austin Aaron Dworaczyk Wiltshire

View

Download (PDF)

Tags: CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 780, nVidia GeForce GTX Titan, Thesis

October 2, 2013 by hgpu

Parallel Hyperspectral Unmixing on GPUs

Jose M. P. Nascimento, Jose M. Bioucas-Dias, Jose M. Rodriguez Alves, Vitor Silva, Antonio Plaza

View

Download (PDF)

Tags: Algorithms, Image processing, nVidia, nVidia GeForce GTX 590, nVidia GeForce GTX 680, OpenCL, Tesla C2050

October 2, 2013 by hgpu

GPU-Accelerated Real-Time Surveillance De-Weathering

Niklas Pettersson

View

Download (PDF)

Tags: Computer science, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 680, Thesis

October 1, 2013 by hgpu

Multi-Scale, Multi-Level, Heterogeneous Features Extraction and Classification of Volumetric Medical Images

Shuai Li, Qinping Zhao, Shengfa Wang, Aimin Hao, Hong Qin

View

Download (PDF)

Tags: Algorithms, CUDA, Diffusion tensor, Image processing, nVidia, nVidia GeForce GTX 330 M

September 27, 2013 by hgpu

Automatic Software Synthesis from High-Level ForSyDe Models Targeting Massively Parallel Processors

George Ungureanu

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Data parallelism, Heterogeneous systems, Image processing, nVidia, Thesis

September 25, 2013 by hgpu

Investigating the Performance of Motion Estimation Block-Matching Algorithms on GPU Cards

Eralda Nishani, Betim Cico, Neki Frasheri

View

Download (PDF)

Tags: CUDA, Image processing, nVidia, nVidia Quadro 400

September 22, 2013 by hgpu

Fast Endmember Extraction for Massive Hyperspectral Sensor Data on GPUs

Zebin Wu, Shun Ye, Jie Wei, Zhihui Wei, Le Sun, Jianjun Liu

View

Download (PDF)

Tags: CUDA, Image processing, nVidia, nVidia Quadro 600, Sensing, Tesla C2050

September 22, 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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

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

CUDA-Accelerated ODETLAP: A Parallel Lossy Compression Implementation

3D Non-Local Means denoising via multi-GPU

CUDA Enhanced Filtering in a Pipelined Video Processing Framework

Parallel Hyperspectral Unmixing on GPUs

GPU-Accelerated Real-Time Surveillance De-Weathering

Multi-Scale, Multi-Level, Heterogeneous Features Extraction and Classification of Volumetric Medical Images

Automatic Software Synthesis from High-Level ForSyDe Models Targeting Massively Parallel Processors

Investigating the Performance of Motion Estimation Block-Matching Algorithms on GPU Cards

Fast Endmember Extraction for Massive Hyperspectral Sensor Data on GPUs

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

Most viewed papers (last 30 days)