high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Image and Signal Processing

Real Time Stereo Vision Using Exponential Step Cost Aggregation On GPU

Wei Yu, Tsuhan Chen, James C. Hoe

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

December 23, 2010 by hgpu

Parallel 3D Image Segmentation of Large Data Sets on a GPU Cluster

Aaron Hagan, Ye Zhao

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Tags: CUDA, GPU cluster, Image processing, nVidia, nVidia GeForce 8800 GTX

December 23, 2010 by hgpu

Real-Time Tracking with Non-Rigid Geometric Templates Using the GPU

Julius Fabian Ohmer, Frederic Maire, Ross Brown

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Tags: Image processing, nVidia, nVidia GeForce 6800, OpenGL, Video tracking

December 22, 2010 by hgpu

Experiences with Cell-BE and GPU for Tomography

Sander van der Maar, Kees Joost Batenburg, Jan Sijbers

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Tags: Cell processor, Computed tomography, CT, CUDA, Image processing, Image reconstruction, Medicine, nVidia, nVidia GeForce 9800 GX2

December 22, 2010 by hgpu

Real-Time Online Video Object Silhouette Extraction Using Graph Cuts on the GPU

Zachary A. Garrett, Hideo Saito

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 280, Real-time graphics, Video tracking

December 22, 2010 by hgpu

Performance analysis of accelerated image registration using GPGPU

Peter Bui, Jay B. Brockman

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Tags: CUDA, Image processing, Image registration, nVidia, Tesla C870

December 21, 2010 by hgpu

GPU-based ultra fast IMRT plan optimization

Chunhua Men, Xuejun Gu, Dongju Choi, Amitava Majumdar, Ziyi Zheng, Klaus Mueller, Steve B. Jiang

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Tags: CUDA, Image processing, Magnetic resonance imaging, Medicine, nVidia, nVidia GeForce 9500 GT, nVidia GeForce GTX 285, Tesla C1060, Tesla S1070

December 21, 2010 by hgpu

CUDA optimization strategies for compute- and memory-bound neuroimaging algorithms

Daren Lee, Ivo Dinov, Bin Dong, Boris Gutman, Igor Yanovsky, Arthur W. Toga

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

December 20, 2010 by hgpu

FFT and Convolution Performance in Image Filtering on GPU

Ondrej Fialka, Martin Cadik

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Tags: DirectX, FFT, HLSL, Image processing, nVidia, nVidia GeForce 6600 GT

December 19, 2010 by hgpu

Implementation of 802.11n on 128-CORE Processor

A. Akapyev, V. Krylov

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Signal processing

December 19, 2010 by hgpu

Accelerating Regularized Iterative CT Reconstruction on Commodity Graphics Hardware (GPU)

Wei Xu, Klaus Mueller

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Tags: Computed tomography, CT, GLSL, Image processing, Image reconstruction, Medicine, nVidia, nVidia GeForce 8800 GT, OpenGL

December 18, 2010 by hgpu

Efficient, High-Quality Bayer Demosaic Filtering on GPUs

Morgan McGuire

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Source codes

Tags: GLSL, Image processing, nVidia, nVidia GeForce 8600 M GT, OpenGL, Package

December 18, 2010 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

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

Real Time Stereo Vision Using Exponential Step Cost Aggregation On GPU

Parallel 3D Image Segmentation of Large Data Sets on a GPU Cluster

Real-Time Tracking with Non-Rigid Geometric Templates Using the GPU

Experiences with Cell-BE and GPU for Tomography

Real-Time Online Video Object Silhouette Extraction Using Graph Cuts on the GPU

Performance analysis of accelerated image registration using GPGPU

GPU-based ultra fast IMRT plan optimization

CUDA optimization strategies for compute- and memory-bound neuroimaging algorithms

FFT and Convolution Performance in Image Filtering on GPU

Implementation of 802.11n on 128-CORE Processor

Accelerating Regularized Iterative CT Reconstruction on Commodity Graphics Hardware (GPU)

Efficient, High-Quality Bayer Demosaic Filtering on GPUs

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

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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