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Accelerating biomedical signal processing algorithms with parallel programming on graphic processor units

Evdokimos I. Konstantinidis, Christos A. Frantzidis, Lazaros Tzimkas, Costas Pappas, Panagiotis D. Bamidis

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Tags: CUDA, Medicine, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 9600 GT, nVidia GeForce GTS 250, Signal processing

June 6, 2011 by hgpu

Employ Bump Mapping to Enrich the 3D NPR Image

Zhien Luo

Tags: 3D Graphics and Realism, Image processing, Rendering

June 5, 2011 by hgpu

A Study on Parallel Imaging Algorithm of 3D Geological Data

Sun Ya-Hao, Li Zhao-Hui

Tags: Earth and Space Sciences, Image processing, Matrix multiplication, Visualization

June 5, 2011 by hgpu

A streaming narrow-band algorithm: interactive computation and visualization of level sets

Aaron E. Lefohn, Joe M. Kniss, Charles D. Hansen, Ross T. Whitaker

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Tags: Algorithms, ATI, ATI Radeon 9800 Pro, Image processing, MRI, OpenGL, Visualization

June 3, 2011 by hgpu

A Reverse-Projecting Pixel-Level Painting Algorithm

Gang Dang, Zhi-Quan Cheng

Tags: Algorithms, Image generation, Image processing

June 2, 2011 by hgpu

Implementations of Parallel Computation of Euclidean Distance Map in Multicore Processors and GPUs

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

Tags: Algorithms, Image processing, nVidia, Tesla C1060

June 1, 2011 by hgpu

Robust Low Complexity Feature Tracking using CUDA

R. Phull, P. Mainali, Qiong Yang, H. Sips, G. Lafruit

Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

June 1, 2011 by hgpu

Implementation of medical image segmentation in CUDA

Lei Pan, Lixu Gu, Jianrong Xu

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Tags: Cg, CUDA, Image processing, Medicine, nVidia, nVidia GeForce 6800, nVidia GeForce 8500 GT

May 31, 2011 by hgpu

A Framework for multisensor image fusion using graphics hardware

Seung-Hun Yoo, Sung-Up Jo, Ki-Young Choi, Chang-Sung Jeong

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Tags: Algorithms, Cg, Image processing, nVidia, nVidia GeForce 8600 GTS, OpenGL

May 31, 2011 by hgpu

Linear Feature Detection on GPUs

L. Domanski, Changming Sun, R. Hassan, P. Vallotton, Dadong Wang

Tags: Filtering, Image processing, Image recognition

May 31, 2011 by hgpu

A High Performance Image Authentication Algorithm on GPU with CUDA

Caiwei Lin, Lei Zhao, Jiwen Yang

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

May 31, 2011 by hgpu

Accelerating Multi-scale Image Fusion Algorithms Using CUDA

Seung-Hun Yoo, Jin-Hyung Park, Chang-Sung Jeong

Tags: Algorithms, CUDA, Image processing, nVidia, Wavelet

May 31, 2011 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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high performance computing on graphics processing units: hgpu.org

Applications

Accelerating biomedical signal processing algorithms with parallel programming on graphic processor units

Employ Bump Mapping to Enrich the 3D NPR Image

A Study on Parallel Imaging Algorithm of 3D Geological Data

A streaming narrow-band algorithm: interactive computation and visualization of level sets

A Reverse-Projecting Pixel-Level Painting Algorithm

Implementations of Parallel Computation of Euclidean Distance Map in Multicore Processors and GPUs

Robust Low Complexity Feature Tracking using CUDA

Implementation of medical image segmentation in CUDA

A Framework for multisensor image fusion using graphics hardware

Linear Feature Detection on GPUs

A High Performance Image Authentication Algorithm on GPU with CUDA

Accelerating Multi-scale Image Fusion Algorithms Using CUDA

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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