high performance computing on graphics processing units: hgpu.org

Applications

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

Implementation and Performance Comparison of the Motion Compensation Kernel of the AVS Video Decoder on FPGA, GPU and Multicore Processors

M. Owaida, N. Bellas, C.D. Antonopoulos, K. Daloukas, Ch. Antoniadis, K. Krommydas, G. Tsoumblekas

Tags: FPGA, Image processing, Motion compensation, Performance

May 26, 2011 by hgpu

GPU implementation of map-MRF for microscopy imagery segmentation

Danny Crookes, Paul Miller, Hugh Gribben, Charles Gillan, Damian McCaughey

Tags: Algorithms, Biology, CUDA, Image processing, Medicine, nVidia, nVidia GeForce 8800 GTX

May 25, 2011 by hgpu

A new representation of intensity atlas for GPU-accelerated instance generation

Ren Hui Gong, J. Stewart, P. Abolmaesumi

Tags: Computed tomography, CT, Image processing, Medicine, nVidia, nVidia GeForce GTX 285

May 24, 2011 by hgpu

Maximum likelihood event estimation and list-mode image reconstruction on GPU hardware

Luca Caucci, Lars R. Furenlid, Harrison H. Barrett

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Tags: CUDA, Image processing, Image reconstruction, nVidia, nVidia GeForce 9800 GX2, PET

May 23, 2011 by hgpu

Accelerating Algebraic Reconstruction Using CUDA-Enabled GPU

Yuqiang Lu, Weiming Wang, Shifu Chen, Yongming Xie, Jing Qin, Wai-Man Pang, Pheng-Ann Heng

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

May 23, 2011 by hgpu

GPU accelerated fuzzy connected image segmentation by using CUDA

Ying Zhuge, Yong Cao, Jayaram K. Udupa, Robert W. Miller

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Tags: CUDA, Image processing, Medicine, MRI, nVidia, nVidia GeForce GTX 280

May 22, 2011 by hgpu

Improving the Speed of Virtual Rear Projection: A GPU-Centric Architecture

Matthew Flagg, Jay Summet, James M. Rehg

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Source codes

Tags: Computer vision, DirectX, Image processing, nVidia, nVidia GeForce FX 6800 GT, Package

May 22, 2011 by hgpu

An architecture design of GPU-accelerated VoD streaming servers with network coding

Jin Zhao, Xinya Zhang, Xin Wang

Tags: Computer science, Image processing, Networks, Video decoding

May 21, 2011 by hgpu

A comprehensive analysis and parallelization of an image retrieval algorithm

Zhenman Fang, Donglei Yang, Weihua Zhang, Haibo Chen, Binyu Zang

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 260, Presentation

May 21, 2011 by hgpu

Image processing applications on a low power highly parallel SIMD architecture

A. Fijany, F. Hosseini

Tags: Algorithms, ASIC, Computer vision, FPGA, Image processing, Performance

May 21, 2011 by hgpu

Real-time Adaptive Tone Mapping for Monitoring High Contrast Hemispherical Image Capture with the GPU

J. Woetzel, P. Fittkau, R. Koch

Tags: Filtering, Image processing, Real-time graphics

May 20, 2011 by hgpu

GPU accelerated alignment of 3-D CTA with 2-D X-ray data for improved guidance in coronary interventions

C.T. Metz, M. Schaap, S. Klein, A.C. Weustink, N.R. Mollet, C. Schultz, R.J. van Geuns, P.W. Serruys, T. van Walsum, W.J. Niessen

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Tags: Algorithms, Computed radiography, Heart, Image alignment, Image processing, Image registration, Medicine, Rendering

May 20, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Implementation and Performance Comparison of the Motion Compensation Kernel of the AVS Video Decoder on FPGA, GPU and Multicore Processors

GPU implementation of map-MRF for microscopy imagery segmentation

A new representation of intensity atlas for GPU-accelerated instance generation

Maximum likelihood event estimation and list-mode image reconstruction on GPU hardware

Accelerating Algebraic Reconstruction Using CUDA-Enabled GPU

GPU accelerated fuzzy connected image segmentation by using CUDA

Improving the Speed of Virtual Rear Projection: A GPU-Centric Architecture

An architecture design of GPU-accelerated VoD streaming servers with network coding

A comprehensive analysis and parallelization of an image retrieval algorithm

Image processing applications on a low power highly parallel SIMD architecture

Real-time Adaptive Tone Mapping for Monitoring High Contrast Hemispherical Image Capture with the GPU

GPU accelerated alignment of 3-D CTA with 2-D X-ray data for improved guidance in coronary interventions

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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