high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Image and Signal Processing

Communication-Minimizing 2D Convolution in GPU Registers

Forrest N. Iandola, David Sheffield, Michael Anderson, Phitchaya Mangpo Phothilimthana, Kurt Keutzer

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 680, Prefetch, Tesla C2050

April 17, 2013 by hgpu

Development of methods for the processing of mining images using genetic algorithms

Lacezar Licev, Marek Babiuch, Tomas Fabian, Radim Farana

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 460

April 8, 2013 by hgpu

GPU Accelerated Automated Feature Extraction from Satellite Images

K. Phani Tejaswi, D. Shanmukha Rao, Thara Nair, A. V. V. Prasad

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Tags: Algorithms, CUDA, Image processing, nVidia, Sensing, Tesla C2075, Visualization

April 3, 2013 by hgpu

Accelerated Dictionary Learning with GPU/Multicore CPU and Its Application to Music Classification

Boyang Gao, Emmanuel Dellandrea, Liming Chen

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Tags: Clustering, CUBLAS, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 285, Signal processing

March 26, 2013 by hgpu

Creating Optimal Code for GPU-Accelerated CT Reconstruction Using Ant Colony Optimization

Eric Papenhausen, Ziyi Zheng, Klaus Mueller

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Tags: Algorithms, Computed tomography, CT, CUDA, Image processing, Image reconstruction, nVidia, nVidia GeForce GTX 480, Optimization

March 26, 2013 by hgpu

A Region Growing Segmentation Algorithm for GPUs

Patrick Nigri Happ, Raul Queiroz Feitosa, Cristiana Bentes, Ricardo Farias

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GTX 480

March 26, 2013 by hgpu

Hyperspectral Unmixing on GPUs and Multi-Core Processors: A Comparison

Sergio Bernabe, Sergio Sanchez, Antonio Plaza, Sebastian Lopez, Jon Atli Benediktsson, Roberto Sarmiento

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Tags: Algorithms, CUBLAS, CUDA, Image processing, nVidia, nVidia GeForce GTX 580, Tesla C1060

March 26, 2013 by hgpu

Recurrence quantification analysis in images with CUDA

Thiago de Lima Prado

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 460

March 24, 2013 by hgpu

Real-Time Implementation of the Pixel Purity Index Algorithm for Endmember Identification on GPUs

Xianyun Wu, Bormin Huang, Antonio Plaza, Yunsong Li, Chengke Wu

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Tags: Algorithms, Computational Complexity, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 590, Tesla C1060

March 23, 2013 by hgpu

Performance study of filtered back-projection algorithms implemented on GPUs

Bruno Faria

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Tags: Computed tomography, CT, CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 580, Performance, Tomography

March 21, 2013 by hgpu

Automated and interactive approaches for optimal surface finding based segmentation of medical image data

Shanhui Sun

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Tags: CUDA, Image processing, Medicine, nVidia, Tesla C1060, Thesis, Ultrasound, Visualization

March 14, 2013 by hgpu

Parallel Particle Swarm Optimization for Image Segmentation

Agustinus Kristiadi, Pranowo Pranowo, Paulus Mudjihartono

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Tags: Clustering, CUDA, Image processing, nVidia, nVidia GeForce G 110 M, Particle swarm optimization

March 14, 2013 by hgpu

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

nvsass-disassembler

Automated Instruction Encoding Synthesis for Modern GPU ISA Compression

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

EinsummableV3 - graph-based computation with tensor operations support

Every Kernel Is a Join: Automatic Multi-GPU Parallelism for AI Computations in Einsummable

MaxKernel: Intelligent TPU Kernel Engineering Agents

MaxKernel: Agentic Kernel Generation for TPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Communication-Minimizing 2D Convolution in GPU Registers

Development of methods for the processing of mining images using genetic algorithms

GPU Accelerated Automated Feature Extraction from Satellite Images

Accelerated Dictionary Learning with GPU/Multicore CPU and Its Application to Music Classification

Creating Optimal Code for GPU-Accelerated CT Reconstruction Using Ant Colony Optimization

A Region Growing Segmentation Algorithm for GPUs

Hyperspectral Unmixing on GPUs and Multi-Core Processors: A Comparison

Recurrence quantification analysis in images with CUDA

Real-Time Implementation of the Pixel Purity Index Algorithm for Endmember Identification on GPUs

Performance study of filtered back-projection algorithms implemented on GPUs

Automated and interactive approaches for optimal surface finding based segmentation of medical image data

Parallel Particle Swarm Optimization for Image Segmentation

Recent source codes

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

nvsass-disassembler

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

EinsummableV3 - graph-based computation with tensor operations support

MaxKernel: Intelligent TPU Kernel Engineering Agents

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