high performance computing on graphics processing units: hgpu.org

hgpu.org » Filtering

Performance Tuning for CUDA-Accelerated Neighborhood Denoising Filters

Ziyi Zheng, Wei Xu and Klaus Mueller

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Tags: Computed tomography, CT, CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 480, Performance, Signal denoising

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

GPUinspiral – a low-latency, high-performance implementation of the matched-filter gravitational wave search algorithm

G. Debreczeni, B. Somhegyi

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Source codes

Tags: Algorithms, Astrophysics, ATI, ATI Radeon HD 5970, Filtering, Gravitation, nVidia, nVidia GeForce GTX 295, OpenCL, Package, Tesla C2050

November 7, 2011 by hgpu

Vergence Using GPU Cepstral Filtering

Luis Almeida, Paulo Menezes, Jorge Dias

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Tags: Algorithms, Computer science, Computer vision, CUDA, Filtering, nVidia, nVidia GeForce 9800 GTX

November 7, 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

Low Latency Complex Event Processing on Parallel Hardware

Gianpaolo Cugola, Alessandro Margara

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Tags: Algorithms, Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 460

October 31, 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

Effects of compression on data intensive algorithms

Ahmed Adnan Aqrawi

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Tags: Algorithms, Compression, Computer science, CUDA, Filtering, Image processing, nVidia, Seismology, Tesla C1060, Tesla C2050, Thesis

October 15, 2011 by hgpu

Real time ultrasound image denoising

F. P. X. de Fontes, G. A. Barroso, P. Coupé, P. Hellier

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Tags: CUDA, Filtering, Image processing, Medicine, nVidia GeForce GTX 280, Ultrasound

October 9, 2011 by hgpu

Adaptable Two-Dimension Sliding Windows on NVIDIA GPUs with Runtime Compilation

Nicholas Moore, Miriam Leeser, Laurie Smith King

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

September 30, 2011 by hgpu

Parallel packet classification using GPU co-processors

Alastair Nottingham, Barry Irwin

Tags: Algorithms, Computer science, CUDA, Filtering, nVidia, Security

September 7, 2011 by hgpu

Isocube: Exploiting the Cubemap Hardware

Liang Wan, Tien-Tsin Wong, Chi-Sing Leung

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Tags: 3D Graphics and Realism, Cg, Computer science, Filtering, nVidia, nVidia GeForce FX 6800 Ultra, OpenGL

September 5, 2011 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Performance Tuning for CUDA-Accelerated Neighborhood Denoising Filters

GPU-based Signal Processing Scheme for Bioinspired Optical Flow

GPUinspiral – a low-latency, high-performance implementation of the matched-filter gravitational wave search algorithm

Vergence Using GPU Cepstral Filtering

True 4D Image Denoising on the GPU

Low Latency Complex Event Processing on Parallel Hardware

CPU and GPU Co-processing for Sound

Effects of compression on data intensive algorithms

Real time ultrasound image denoising

Adaptable Two-Dimension Sliding Windows on NVIDIA GPUs with Runtime Compilation

Parallel packet classification using GPU co-processors

Isocube: Exploiting the Cubemap Hardware

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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