high performance computing on graphics processing units: hgpu.org

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Parallel packet classification using GPU co-processors

Alastair Nottingham, Barry Irwin

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

September 7, 2011 by hgpu

Parallel implementation of conjugate gradient method on graphics processors

Marcin Wozniak, Tomasz Olas, Roman Wyrzykowski

Tags: Algorithms, Computer science, Conjugate gradient solver, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Sparse matrix, Tesla C1060

September 7, 2011 by hgpu

CUDA-based GPU Implementation of Hierarchical Belief Propagation for Fast Stereo Matching

Jae-Il Jung, Yo-Sung Ho

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 470

September 6, 2011 by hgpu

A CUDA-based parallel implementation of K-nearest neighbor algorithm

Shenshen Liang, Ying Liu, Cheng Wang, Liheng Jian

Tags: Algorithms, Computer science, CUDA, Nearest neighbour, nVidia, Optimization

September 5, 2011 by hgpu

Fault table generation using Graphics Processing Units

K. Gulati, S.P. Khatri

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Tags: Computer science, CUDA, Electronic design automation, Fault simulation, nVidia, nVidia GeForce GTX 280

September 5, 2011 by hgpu

A CUDA Based Implementation of an Image Authentication Algorithm

Caiwei Lin, Lei Zhao, Jiwen Yang

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Tags: Algorithms, Computer science, CUDA, nVidia, Security, Tesla C1060

September 5, 2011 by hgpu

A near real-time framework for extracting tip-sample forces in dynamic atomic force microscopy (dAFM)

David Busch, Qingze Zou, Baskar Ganapathysubramanian

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Tags: Condensed matter, CUDA, Materials Science, nVidia, nVidia Quadro FX 5800, Physics

September 5, 2011 by hgpu

Computing room acoustics with CUDA – 3D FDTD schemes with boundary losses and viscosity

Craig J. Webb, Stefan Bilbao

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Tags: Acoustics, CUDA, FDTD, Finite difference, Finite-difference time-domain, Numerical simulation, nVidia, Physics, Tesla C1060, Tesla C2050

September 4, 2011 by hgpu

Parallel Streaming Intra Prediction for Full HD H.264 Encoding

Ju Ren, Yi He, Huayou Su, Mei Wen, Nan Wu, Chunyuan Zhang

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Tags: CUDA, H.264/AVC, Image processing, nVidia, nVidia GeForce 8800 GTX, Video encoding

September 4, 2011 by hgpu

Visual Human – Machine Learning

Raphael Fuchs, Jurgen Waser, Meister Eduard Groller

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Tags: Algorithms, Computer science, CUDA, Genetic programming, Machine learning, nVidia, Pattern recognition, Rendering, Visualization

September 4, 2011 by hgpu

View-Dependent Streamlines for 3D Vector Fields

Stephane Marchesin, Cheng-Kai Chen, Chris Ho, Kwan-Liu Ma

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, OpenGL, Visualization

September 3, 2011 by hgpu

Utilizing Hierarchical Multiprocessing for Medical Image Registration

William Plishker, Omkar Dandekar, Shuvra S. Bhattacharyya, Raj Shekhar

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Tags: Algorithms, CUDA, Image processing, Image registration, Medicine, nVidia, nVidia GeForce GTX 285

September 3, 2011 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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high performance computing on graphics processing units: hgpu.org

Parallel packet classification using GPU co-processors

Parallel implementation of conjugate gradient method on graphics processors

CUDA-based GPU Implementation of Hierarchical Belief Propagation for Fast Stereo Matching

A CUDA-based parallel implementation of K-nearest neighbor algorithm

Fault table generation using Graphics Processing Units

A CUDA Based Implementation of an Image Authentication Algorithm

A near real-time framework for extracting tip-sample forces in dynamic atomic force microscopy (dAFM)

Computing room acoustics with CUDA – 3D FDTD schemes with boundary losses and viscosity

Parallel Streaming Intra Prediction for Full HD H.264 Encoding

Visual Human – Machine Learning

View-Dependent Streamlines for 3D Vector Fields

Utilizing Hierarchical Multiprocessing for Medical Image Registration

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Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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