Image and Signal Processing | Page 79

hgpu.org » Applications » Image and Signal Processing

GPU-based elastic-object deformation for enhancement of existing haptic applications

Cristian J. Luciano, P. Pat Banerjee, Silvio H. R. Rizzi

View

Tags: Algorithms, Computed tomography, CT, Image processing, Magnetic resonance imaging, MRI, nVidia, nVidia Quadro FX 3400, OpenGL, Virtual reality

May 3, 2011 by hgpu

GPU-CPU multi-core for real-time signal processing

Saraju P. Mohanty

View

Download (PDF)

Tags: nVidia, nVidia GeForce FX 5200, OpenGL, Rendering, Signal processing

May 3, 2011 by hgpu

Real-time Medical Image Volume Rendering Based on GPU Accelerated Method

Zhang Fan, Xie Mei

Tags: Image processing, Medicine, Rendering

May 3, 2011 by hgpu

GPU based acceleration architecture for image enhancement in spatial domain

Li Zhonghua, Zhou Fugen, Bai Xiangzhi

Tags: Algorithms, CUDA, Image processing, nVidia

May 3, 2011 by hgpu

Implementation of a 3GPP LTE turbo decoder accelerator on GPU

M. Wu, Yang Sun, J.R. Cavallaro

Tags: Algorithms, Signal processing

May 1, 2011 by hgpu

A local diffusion wavelet approach for scattered data registration based on GPU

Wu Weiyong, Wang Yinghui

Tags: Algorithms, Image processing, Wavelet

May 1, 2011 by hgpu

Real-Time Rendering Algorithm for Virtual Endoscopy Based on GPU

Shi Weili, Miao Yu, Xu Honghua, Tian Yinghua, Zhang Xiaohan

Tags: Computed tomography, CT, Image processing, Medicine, Real-time graphics, Rendering

May 1, 2011 by hgpu

Using the CPU and GPU for real-time video enhancement on a mobile computer

A. Bachoo

Tags: Algorithms, Image processing

May 1, 2011 by hgpu

GPU-based simulation of cellular neural networks for image processing

R. Dolan, G. DeSouza

View

Download (PDF)

Tags: Cellular neural networks, CUDA, Image processing, nVidia

April 30, 2011 by hgpu

Real-time massive convolution for audio applications on GPU

Jose Belloch, Alberto Gonzalez, F. Martinez-Zaldivar, Antonio Vidal

Tags: Acoustics, Algorithms, Signal processing

April 30, 2011 by hgpu

GPU Ray Casting with Arbitrary Shaped Proxy

Ge Jun, Huazhong Shu

Tags: Algorithms, Image processing, Rendering, Visualization

April 28, 2011 by hgpu

GPU implementation of the pixel purity index algorithm for hyperspectral image analysis

Sergio Sanchez, Antonio Plaza

View

Download (PDF)

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

April 28, 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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

GPU-based elastic-object deformation for enhancement of existing haptic applications

GPU-CPU multi-core for real-time signal processing

Real-time Medical Image Volume Rendering Based on GPU Accelerated Method

GPU based acceleration architecture for image enhancement in spatial domain

Implementation of a 3GPP LTE turbo decoder accelerator on GPU

A local diffusion wavelet approach for scattered data registration based on GPU

Real-Time Rendering Algorithm for Virtual Endoscopy Based on GPU

Using the CPU and GPU for real-time video enhancement on a mobile computer

GPU-based simulation of cellular neural networks for image processing

Real-time massive convolution for audio applications on GPU

GPU Ray Casting with Arbitrary Shaped Proxy

GPU implementation of the pixel purity index algorithm for hyperspectral image analysis

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

Most viewed papers (last 30 days)