high performance computing on graphics processing units: hgpu.org

hgpu.org » Applications » Image and Signal Processing

GPU-accelerated 3D Bayesian image reconstruction from Compton scattered data

Van-Giang Nguyen, Soo-Jin Lee, Mi N. Lee

Tags: Image processing, Image reconstruction, Medical Physics

April 15, 2011 by hgpu

A distributed multi-GPU system for high speed electron microscopic tomographic reconstruction

Shawn Q. Zheng, Eric Branlund, Bettina Kesthelyi, Michael B. Braunfeld, Yifan Cheng, John W. Sedat, David A. Agard

Tags: CUDA, Image processing, Image reconstruction, nVidia, nVidia GeForce GTX 295, Tomography

April 15, 2011 by hgpu

GPU-based high-speed and high-precision visual tracking

E. Ito, S. Saga, T. Okatani, K. Deguchi

Tags: Image processing, Video tracking

April 14, 2011 by hgpu

Efficient design and implementation of visual computing algorithms on the GPU

In Kyu Park, Nitin Singhal, Man Hee Lee, Sungdae Cho

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Tags: Algorithms, Computer vision, CUDA, Image processing, JPEG2000, nVidia, nVidia GeForce 9800 GTX, OpenMP

April 14, 2011 by hgpu

Hardware-Efficient Belief Propagation

Chia-Kai Liang, Chao-Chung Cheng, Yen-Chieh Lai, Liang-Gee Chen, Homer H. Chen

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTS

April 13, 2011 by hgpu

Memory Saving Discrete Fourier Transform on GPUs

Daniel Kauker, Harald Sanftmann, Steffen Frey, Thomas Ertl

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Tags: Algorithms, FFT, Image processing, nVidia, nVidia GeForce GTX 285, OpenCL

April 13, 2011 by hgpu

A Multi-GPU Spectrometer System for Real-Time Wide Bandwidth Radio Signal Analysis

Hirofumi Kondo, Eric Heien, Masao Okita, Dan Werthimer, Kenichi Hagihara

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Tags: CUDA, FFT, nVidia, Signal processing, Tesla C1060, Tesla S1070

April 13, 2011 by hgpu

GPU-Accelerated KLT Tracking with Monte-Carlo-Based Feature Reselection

Julius Fabian Ohmer, Nicholas J. Redding

Tags: Algorithms, Computer vision, Image processing, Video tracking

April 13, 2011 by hgpu

Efficient parallelized particle filter design on CUDA

Min-An Chao, Chun-Yuan Chu, Chih-Hao Chao, An-Yeu Wu

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Tags: CUDA, nVidia, nVidia GeForce 9400 M, Particle filtering, Signal processing

April 13, 2011 by hgpu

Implementation and optimization of image processing algorithms on handheld GPU

Nitin Singhal, In Kyu Park, Sungdae Cho

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

April 12, 2011 by hgpu

Real-time stereo matching: A cross-based local approach

Jiangbo Lu, Ke Zhang, Gauthier Lafruit, Francky Catthoor

Tags: Algorithms, Image processing, Real-time graphics

April 10, 2011 by hgpu

FFT Implementation on a Streaming Architecture

J. Lobeiras, M. Amor, R. Doallo

Tags: ATI, Brook, FFT, Signal processing

April 10, 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

GPU-accelerated 3D Bayesian image reconstruction from Compton scattered data

A distributed multi-GPU system for high speed electron microscopic tomographic reconstruction

GPU-based high-speed and high-precision visual tracking

Efficient design and implementation of visual computing algorithms on the GPU

Hardware-Efficient Belief Propagation

Memory Saving Discrete Fourier Transform on GPUs

A Multi-GPU Spectrometer System for Real-Time Wide Bandwidth Radio Signal Analysis

GPU-Accelerated KLT Tracking with Monte-Carlo-Based Feature Reselection

Efficient parallelized particle filter design on CUDA

Implementation and optimization of image processing algorithms on handheld GPU

Real-time stereo matching: A cross-based local approach

FFT Implementation on a Streaming Architecture

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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