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hgpu.org » Applications » Image and Signal Processing » Image processing

Challenges of medical image processing

Ingrid Scholl, Til Aach, Thomas M. Deserno, Torsten Kuhlen

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Tags: Algorithms, Data mining, Grid, Image processing, Medicine, Review, Virtual reality, Visualization

September 11, 2011 by hgpu

High-performance SIMT code generation in an active visual effects library

Jay L.T. Cornwall, Lee Howes, Paul H.J. Kelly, Phil Parsonage, Bruno Nicoletti

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Tags: Algorithms, Code generation, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 260, Performance, Software Engineering, Visualization

September 11, 2011 by hgpu

Beyond programmable shading (parts I and II)

Aaron Lefohn, Mike Houston, Johan Andersson, Ulf Assarsson, Cass Everitt, Kayvon Fatahalian, Tim Foley, Justin Hensley, Paul Lalonde, David Luebke

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Tags: 3D Graphics and Realism, Algorithms, Computer science, DirectX, Image processing, OpenGL, Presentation, Programming techniques, Rasterization, Raytracing, Rendering

September 9, 2011 by hgpu

A Fast GPU Implementation for Solving Sparse Ill-Posed Linear Equation Systems

Florian Stock, Andreas Koch

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Tags: Cell processor, Conjugate gradient solver, CUDA, FPGA, Image processing, Image reconstruction, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 280, Optimization, Sparse matrix

September 8, 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

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

Fast evolutionary image processing using Multi-GPUs

Jun Ando, Tomoharu Nagao

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Tags: Cg, Evolutionary Computations, Image processing, nVidia, nVidia GeForce 7900 GS, OpenGL, Optimization

September 2, 2011 by hgpu

Simultaneous estimation of super-resolved depth and all-in-focus images from a plenoptic camera

F. Perez Nava, J.P. Luke

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Tags: Algorithms, Image processing

September 1, 2011 by hgpu

Invited paper: Accelerating neuromorphic vision on FPGAs

Sungho Park, Srinidhi Kestur, Kevin M. Irick, Vijaykrishnan Narayanan

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Tags: Algorithms, FPGA, Image processing

August 30, 2011 by hgpu

Real-Time Plane-Sweeping Stereo with Multiple Sweeping Directions

David Gallup, Jan-Michael Frahm, Philippos Mordohai, Qingxiong Yang, Marc Pollefeys

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce 8800 GTX

August 30, 2011 by hgpu

Real-time task reconfiguration support applied to an UAV-based surveillance system

Alecio Pedro Delazari Binotto, Edison Pignaton de Freitas, Carlos Eduardo Pereira, Andre Stork, Tony Larsson

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Image processing, nVidia, nVidia GeForce 8800 GT

August 28, 2011 by hgpu

Real-time photo style transfer

Hanli Zhao, Xiaogang Jin, Jianbing Shen, Feifei Wei

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Tags: CUDA, DirectX, Image processing, nVidia, nVidia GeForce 8800 GTS, Real-time graphics

August 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

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high performance computing on graphics processing units: hgpu.org

Applications

Challenges of medical image processing

High-performance SIMT code generation in an active visual effects library

Beyond programmable shading (parts I and II)

A Fast GPU Implementation for Solving Sparse Ill-Posed Linear Equation Systems

Parallel Streaming Intra Prediction for Full HD H.264 Encoding

Utilizing Hierarchical Multiprocessing for Medical Image Registration

Fast evolutionary image processing using Multi-GPUs

Simultaneous estimation of super-resolved depth and all-in-focus images from a plenoptic camera

Invited paper: Accelerating neuromorphic vision on FPGAs

Real-Time Plane-Sweeping Stereo with Multiple Sweeping Directions

Real-time task reconfiguration support applied to an UAV-based surveillance system

Real-time photo style transfer

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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