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

Towards fully user transparent task and data parallel image processing

Jan Lemeire, Yan Zhao, Peter Schelkens, Steve De Backer, Frans Cornelissen, Bert Torfs

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Tags: Algorithms, CUDA, Image processing, nVidia

July 19, 2011 by hgpu

A Parallel Multi-view Rendering Architecture

Wallace Lages, Carlucio Cordeiro, Dorgival Guedes

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Tags: Algorithms, GLSL, GPU cluster, Image processing, nVidia, nVidia GeForce 7900 GTX, OpenGL, Rendering

July 18, 2011 by hgpu

CT image reconstruction using hexagonal grids

Michael Knaup, Sven Steckmann, Olivier Bockenbach, and Marc Kachelriess

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Tags: Algorithms, Computed tomography, CT, Image processing, Image reconstruction, Poster

July 18, 2011 by hgpu

Color Seamlessness in Multi-Projector Displays Using Constrained Gamut Morphing

Behzad Sajadi, Maxim Lazarov, M. Gopi, Aditi Majumder

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Tags: Algorithms, Image processing, Visualization

July 17, 2011 by hgpu

Using Graphics Processor Units (GPUs) for Automatic Video Structuring

Peter Kehoe, Alan F. Smeaton

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Tags: Algorithms, Cg, Image processing, nVidia, nVidia GeForce 7800 GT, OpenGL

July 17, 2011 by hgpu

Speedup of Fuzzy Clustering Through Stream Processing on Graphics Processing Units

Derek T. Anderson, Robert H. Luke, James M. Keller

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Tags: Cg, Clustering, Image processing, nVidia, nVidia GeForce 7800 GS, nVidia GeForce 8800 GTX, nVidia GeForce FX 5900 Ultra, nVidia Quadro FX 2500 M

July 17, 2011 by hgpu

Parallel implementation of endmember extraction algorithms using NVidia graphical processing units

Antonio Plaza, Javier Plaza, Sergio Sanchez

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Tags: CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, Sensing, Spectral methods

July 17, 2011 by hgpu

Uniform partitioning of Monte Carlo radiosity on GPUs

J. R. Sanjurjo, M. Amor, E. J. Padron, R. Doallo, M. Boo

Tags: Algorithms, CUDA, Image processing, nVidia

July 16, 2011 by hgpu

Fast and Efficient FPGA-Based Feature Detection Employing the SURF Algorithm

Dimitris Bouris, Antonis Nikitakis, Ioannis Papaefstathiou

Tags: Computer vision, FPGA, Image processing

July 14, 2011 by hgpu

Many-core parallel computing – Can compilers and tools do the heavy lifting?

W.-m.W. Hwu

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Tags: Compilers, Computer science, CUDA, Image processing, nVidia, Presentation, Review

July 10, 2011 by hgpu

Implementation of usual computerized tomography methods on GPU using the Compute Unified Device Architecture (CUDA)

Benoit Recur, Pascal Desbarats, Jean-Philippe Domenger

Tags: CUDA, Image processing, Medicine, nVidia, Tomography

July 9, 2011 by hgpu

Utilization of GPU for real-time vision in robotics

Tomasz Kornuta, Mateusz Pruchniak

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Tags: Algorithms, Computer vision, Image processing, nVidia, nVidia GeForce GTX 275, OpenCL

July 9, 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

Towards fully user transparent task and data parallel image processing

A Parallel Multi-view Rendering Architecture

CT image reconstruction using hexagonal grids

Color Seamlessness in Multi-Projector Displays Using Constrained Gamut Morphing

Using Graphics Processor Units (GPUs) for Automatic Video Structuring

Speedup of Fuzzy Clustering Through Stream Processing on Graphics Processing Units

Parallel implementation of endmember extraction algorithms using NVidia graphical processing units

Uniform partitioning of Monte Carlo radiosity on GPUs

Fast and Efficient FPGA-Based Feature Detection Employing the SURF Algorithm

Many-core parallel computing – Can compilers and tools do the heavy lifting?

Implementation of usual computerized tomography methods on GPU using the Compute Unified Device Architecture (CUDA)

Utilization of GPU for real-time vision in robotics

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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