high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Image and Signal Processing

Design and Optimization of Image Processing Algorithms on Mobile GPU

Nitin Singhal, Jin Woo Yoo, Ho Yeol Choi, In Kyu Park

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Tags: Algorithms, Image processing, Optimization, Poster, Rendering

December 8, 2011 by hgpu

An Efficient Parallel Motion Estimation Algorithm and X264 Parallelization in CUDA

Youngsub Ko, Youngmin Yi, Soonhoi Ha

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Tags: Algorithms, CUDA, Data parallelism, H.264/AVC, Image processing, nVidia, nVidia GeForce GTX 480

December 7, 2011 by hgpu

Multiprocessing Acceleration of H.264/AVC Motion Estimation Full Search Algorithm under CUDA Architecture

Eduarda R. Monteiro, Bruno B. Vizzotto, Claudio M. Diniz, Bruno Zatt, Sergio Bampi

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Tags: Algorithms, CUDA, H.264/AVC, Image processing, nVidia, nVidia GeForce GTX 480

December 6, 2011 by hgpu

GPU-Based Liquid Crystal Display Processing Platform

Song Peng

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Tags: Algorithms, CUDA, Image generation, Image processing, nVidia, nVidia Quadro FX 580, Thesis

December 6, 2011 by hgpu

GMM based Fisher vector calculation on GPGPU

Erik Bodzsar, Balint Daroczy, Istvan Petras, Andras A. Benczur

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Tags: Clustering, CUDA, Databases, Image processing, nVidia, nVidia GeForce GTX 285, Package, Performance, SIFT

December 5, 2011 by hgpu

A New Tool for Classification of Satellite Images Available from Google Maps: Efficient Implementation in Graphics Processing Units

Sergio Bernabe, Antonio Plaza

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Tags: Algorithms, Clustering, Consensus, CUDA, Databases, Image processing, nVidia, nVidia GeForce 9400 M, Tesla C1060

December 5, 2011 by hgpu

Implementations of a Parallel Algorithm for Computing Euclidean Distance Map in Multicore Processors and GPUs

Duhu Man, Kenji Uda, Hironobu Ueyama, Yasuaki Ito, Koji Nakano

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Tags: Algorithms, CUDA, Image processing, Memory model, nVidia, nVidia GeForce GTX 480, Tesla C1060

December 3, 2011 by hgpu

On the design of architecture-aware algorithms for emerging applications

Seunghwa Kang

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Tags: Algorithms, Benchmarking, Biology, Cell processor, Computational biology, CUDA, Image processing, MapReduce, nVidia, Package, Tesla C1060, Thesis

December 2, 2011 by hgpu

Efficient Cubic B-spline Image Interpolation on a GPU

Frederic Champagnat, Yves Le Sant

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 260 M, Package, Tesla C2050

December 2, 2011 by hgpu

Iterative optimization methods for efficient image restoration on multicore architectures

Roberto Cavicchioli, Andrea Prearo, Riccardo Zanella, Gaetano Zanghirati, Luca Zanni

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Tags: Algorithms, CUDA, Image processing, MPI, Nonlinear optimization, nVidia, Tesla C2050

December 1, 2011 by hgpu

Optimal similarity registration of volumetric images

E. Kokiopoulou, D. Kressner, M. Zervos, N. Paragios

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Tags: Algorithms, CUDA, Image processing, Image registration, nVidia, Tesla C1060

December 1, 2011 by hgpu

Image and Video Processing on CUDA: State of the Art and Future Directions

Roberto Di Salvo, Carmelo Pino

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Tags: CUDA, Image processing, nVidia

December 1, 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

Design and Optimization of Image Processing Algorithms on Mobile GPU

An Efficient Parallel Motion Estimation Algorithm and X264 Parallelization in CUDA

Multiprocessing Acceleration of H.264/AVC Motion Estimation Full Search Algorithm under CUDA Architecture

GPU-Based Liquid Crystal Display Processing Platform

GMM based Fisher vector calculation on GPGPU

A New Tool for Classification of Satellite Images Available from Google Maps: Efficient Implementation in Graphics Processing Units

Implementations of a Parallel Algorithm for Computing Euclidean Distance Map in Multicore Processors and GPUs

On the design of architecture-aware algorithms for emerging applications

Efficient Cubic B-spline Image Interpolation on a GPU

Iterative optimization methods for efficient image restoration on multicore architectures

Optimal similarity registration of volumetric images

Image and Video Processing on CUDA: State of the Art and Future Directions

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)