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hgpu.org » Applications » Image and Signal Processing

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

Automatic Hepatic Vessel Segmentation Using Graphics Hardware

Marius Erdt, Matthias Raspe, Michael Suehling

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Tags: Computed tomography, CT, Image processing, Medicine, nVidia, nVidia GeForce 8800 GTS

January 12, 2011 by hgpu

Efficient gradient-domain compositing using quadtrees

Aseem Agarwala

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Tags: Algorithms, Filtering, Image processing

January 11, 2011 by hgpu

Canny edge detection on NVIDIA CUDA

Yuancheng Luo, Ramani Duraiswami

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Source codes

Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, Package

January 10, 2011 by hgpu

Real-time object detection on CUDA

Adam Herout, Radovan Josth, Roman Juranek, Jiri Havel, Michal Hradis, Pavel Zemcik

Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 9800 GTX, Pattern recognition

January 9, 2011 by hgpu

Improving the Performance of Hyperspectral Image and Signal Processing Algorithms Using Parallel, Distributed and Specialized Hardware-Based Systems

Antonio Plaza, Javier Plaza, Hugo Vegas

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Tags: CUDA, FPGA, Image processing, MPI, nVidia, nVidia GeForce 8800 GTX, Signal processing

January 9, 2011 by hgpu

A constant-space belief propagation algorithm for stereo matching

Qingxiong Yang, Liang Wang, Narendra Ahuja

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Tags: Algorithms, Computer vision, Image processing, Image recognition, nVidia, nVidia GeForce 8800 GTX

January 8, 2011 by hgpu

Real-time stereo matching using orthogonal reliability-based dynamic programming

Minglun Gong, Yee-Hong H. Yang

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Tags: Algorithms, ATI, ATI Radeon X800, DirectX, HLSL, Image processing

January 8, 2011 by hgpu

Techniques for efficient, real-time, 3D visualization of multi-modality cardiac data using consumer graphics hardware

David Levin, Usaf Aladl, Guido Germano, Piotr Slomka

Tags: ATI, ATI Radeon 9700 Pro, Computed tomography, CT, Image processing, Medicine, MRI, Rendering, Visualization

January 8, 2011 by hgpu

Accelerating phase unwrapping and affine transformations for optical quadrature microscopy using CUDA

Perhaad Mistry, Sherman Braganza, David Kaeli, Miriam Leeser

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Tags: Biology, CUDA, Genetics, Image processing, nVidia, nVidia GeForce 8800 GTX

January 6, 2011 by hgpu

Synthetic Aperture Radar Processing with GPGPU

Maurizio di Bisceglie, Michele Di Santo, Carmela Galdi, Riccardo Lanari, Nadia Ranaldo

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Tags: CUDA, nVidia, Signal processing, Tesla C1060

January 6, 2011 by hgpu

Fully-3D GPU PET reconstruction

J. L. Herrai, S. Espana, J. Cal-Gonzalez, J. J. Vaquero, M. Desco, J. M. Udias

Tags: Computed tomography, CT, Image processing, Image reconstruction, Medicine

January 6, 2011 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

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high performance computing on graphics processing units: hgpu.org

Applications

Speeding up Mutual Information Computation Using NVIDIA CUDA Hardware

Automatic Hepatic Vessel Segmentation Using Graphics Hardware

Efficient gradient-domain compositing using quadtrees

Canny edge detection on NVIDIA CUDA

Real-time object detection on CUDA

Improving the Performance of Hyperspectral Image and Signal Processing Algorithms Using Parallel, Distributed and Specialized Hardware-Based Systems

A constant-space belief propagation algorithm for stereo matching

Real-time stereo matching using orthogonal reliability-based dynamic programming

Techniques for efficient, real-time, 3D visualization of multi-modality cardiac data using consumer graphics hardware

Accelerating phase unwrapping and affine transformations for optical quadrature microscopy using CUDA

Synthetic Aperture Radar Processing with GPGPU

Fully-3D GPU PET reconstruction

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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