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Genetic programming on GPUs for image processing

Simon Harding and Wolfgang Banzhaf

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Tags: Computer science, DirectX, Filtering, Genetic programming, Image processing, nVidia, nVidia GeForce 8800 GTX

January 23, 2011 by hgpu

Simultaneous and fast 3D tracking of multiple faces in video by GPU-based stream processing

Oscar Mateo Lozano, Kazuhiro Otsuka

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Tags: CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, Particle filtering, Video tracking

January 20, 2011 by hgpu

Evolution of image filters on graphics processor units using Cartesian Genetic Programming

Simon Harding

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Tags: DirectX, Filtering, Image processing, nVidia, nVidia GeForce 7300

January 20, 2011 by hgpu

Accurate multi-view reconstruction using robust binocular stereo and surface meshing

Derek Bradley, Tamy Boubekeur, Wolfgang Heidrich

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Tags: Algorithms, Computer vision, Image processing, Pattern recognition

January 17, 2011 by hgpu

Acceleration of Acoustic Emission Signal Processing Algorithms using CUDA Standard

Lubomir Riha, Radislav Smid

Tags: Acoustics, CUDA, nVidia, Signal processing

January 17, 2011 by hgpu

Accelerating SIFT on parallel architectures

Seth Warn, Wesley Emeneker, Jackson Cothren, Amy Apon

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Tags: Computer vision, CUDA, Image processing, nVidia Quadro FX 5800

January 15, 2011 by hgpu

Random Walks for Interactive Organ Segmentation in Two and Three Dimensions: Implementation and Validation

Leo Grady, Thomas Schiwietz, Shmuel Aharon, Rudiger Westermann

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Tags: ATI, ATI Radeon X800 XT, Computer science, Image processing, Medicine

January 15, 2011 by hgpu

Gradient based dominant motion estimation with integral projections for real time video stabilisation

Andrew Crawford, Anil C. Kokaram, Francois Pitie, H. Denman

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Tags: DirectX, Image processing, Motion compensation

January 15, 2011 by hgpu

Real-time medical video processing, enabled by hardware accelerated correlations

Thiusius Savarimuthu, Anders Kjaer-Nielsen, Anders Sorensen

Tags: FPGA, Image processing, Image recognition, Medicine

January 14, 2011 by hgpu

Parallel Deblocking Filtering in MPEG-4 AVC/H.264 on Massively-Parallel Architectures

B. Pieters, Hollemeersch, J. De Cock, P. Lambert, W. De Neve, R. Van de Walle

Tags: CUDA, H.264/AVC, Image processing, nVidia

January 14, 2011 by hgpu

GPU-PIV

Thomas Schiwietz, Rudiger Westermann

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Tags: ATI, ATI Radeon 9800 XT, Computer science, FFT, Image processing, OpenGL

January 13, 2011 by hgpu

Speeding up Mutual Information Computation Using NVIDIA CUDA Hardware

Ramtin Shams, Nick Barnes

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Tags: Algorithms, Computer science, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX

January 13, 2011 by hgpu

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

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

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high performance computing on graphics processing units: hgpu.org

Applications

Genetic programming on GPUs for image processing

Simultaneous and fast 3D tracking of multiple faces in video by GPU-based stream processing

Evolution of image filters on graphics processor units using Cartesian Genetic Programming

Accurate multi-view reconstruction using robust binocular stereo and surface meshing

Acceleration of Acoustic Emission Signal Processing Algorithms using CUDA Standard

Accelerating SIFT on parallel architectures

Random Walks for Interactive Organ Segmentation in Two and Three Dimensions: Implementation and Validation

Gradient based dominant motion estimation with integral projections for real time video stabilisation

Real-time medical video processing, enabled by hardware accelerated correlations

Parallel Deblocking Filtering in MPEG-4 AVC/H.264 on Massively-Parallel Architectures

GPU-PIV

Speeding up Mutual Information Computation Using NVIDIA CUDA Hardware

Recent source codes

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

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

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