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

Frameworks for GPU Accelerators: A comprehensive evaluation using 2D/3D image registration

Richard Membarth, Frank Hannig, Jurgen Teich, Mario Korner, Wieland Eckert

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Tags: CUDA, Image processing, Image registration, nVidia, nVidia Quadro FX 5800, OpenCL, Performance, RapidMind, Tesla C2050

July 9, 2011 by hgpu

Accelerated video encoding using render context information

Philipp Fechteler, Peter Eisert

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Tags: DirectX, H.264/AVC, Image processing, OpenGL, Rendering, Video encoding

July 8, 2011 by hgpu

High Performance Remote Sensing Image Processing Using CUDA

Xiaoshu Si, Hong Zheng

Tags: CUDA, Image processing, nVidia, Sensing

July 8, 2011 by hgpu

Accelerating Wavelet Lifting on Graphics Hardware Using CUDA

Wladimir J. van der Laan, Andrei C. Jalba, Jos B.T.M. Roerdink

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Tags: CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, Wavelet

July 6, 2011 by hgpu

Fast face recognition approach using a graphical processing unit (GPU)

Y. Ouerhani, M. Jridi, A. AlFalou

Tags: Image processing, Image recognition, nVidia, nVidia GeForce 8400 GS

July 6, 2011 by hgpu

Acceleration of Multiresolution Imaging Algorithms: A Comparative Study

Richard Membarth, Philipp Kutzer, Hritam Dutta, Frank Hannig, Jurgen Teich

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Tags: Cell processor, CUDA, Filtering, Image processing, nVidia, Playstation, Tesla C870

July 3, 2011 by hgpu

Real-Time Reconstruction of Sensitivity Encoded Radial Magnetic Resonance Imaging Using a Graphics Processing Unit

T.S. Sorensen, D. Atkinson, T. Schaeffter, M.S. Hansen

Tags: Image processing, Image reconstruction, MRI

July 2, 2011 by hgpu

Graphics processing unit accelerated non-uniform fast Fourier transform for ultrahigh-speed, real-time Fourier-domain OCT

Kang Zhang, Jin U. Kang

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Tags: CUDA, FFT, Image processing, Medicine, nVidia, nVidia GeForce GTX 480, Optics, Tomography

July 1, 2011 by hgpu

High-performance 3D Compressive Sensing MRI reconstruction

Daehyun Kim, J.D. Trzasko, M. Smelyanskiy, C.R. Haider, A. Manduca, P. Dubey

Tags: CUDA, Image processing, Image reconstruction, MRI, nVidia, nVidia GeForce GTX 480

June 28, 2011 by hgpu

Improving processing time for visual measurements of displacements of IPMC actuators using CUDA

K. Tsiakmakis, T. Laopoulos

Tags: CUDA, Image processing, Materials Science, Measurement techniques, nVidia, Physics

June 26, 2011 by hgpu

A real-time coarse-to-fine multiview capture system for all-in-focus rendering on a light-field display

Fabio Marton, Enrico Gobbetti, Fabio Bettio, Jose Antonio Iglesias Guitian, Ruggero Pintus

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Tags: CUDA, Image processing, nVidia, nVidia GeForce 8800 GTS, OpenGL, Rendering, Stereo vision

June 26, 2011 by hgpu

CUDA-based acceleration and algorithm refinement for volume image registration

Shifu Chen, Jing Qin, Yongming Xie, Wai-Man Pang, Pheng-Ann Heng

Tags: CUDA, Image processing, Image registration, nVidia

June 26, 2011 by hgpu

Introduction to Computer Vision

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

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

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

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

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

Frameworks for GPU Accelerators: A comprehensive evaluation using 2D/3D image registration

Accelerated video encoding using render context information

High Performance Remote Sensing Image Processing Using CUDA

Accelerating Wavelet Lifting on Graphics Hardware Using CUDA

Fast face recognition approach using a graphical processing unit (GPU)

Acceleration of Multiresolution Imaging Algorithms: A Comparative Study

Real-Time Reconstruction of Sensitivity Encoded Radial Magnetic Resonance Imaging Using a Graphics Processing Unit

Graphics processing unit accelerated non-uniform fast Fourier transform for ultrahigh-speed, real-time Fourier-domain OCT

High-performance 3D Compressive Sensing MRI reconstruction

Improving processing time for visual measurements of displacements of IPMC actuators using CUDA

A real-time coarse-to-fine multiview capture system for all-in-focus rendering on a light-field display

CUDA-based acceleration and algorithm refinement for volume image registration

Recent source codes

Introduction to Computer Vision

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

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

nvsass-disassembler

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

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

EinsummableV3 - graph-based computation with tensor operations support

MaxKernel: Intelligent TPU Kernel Engineering Agents

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