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hgpu.org » Applications » Image and Signal Processing

Dual-RBF based surface reconstruction

Yuxu Lin, Chun Chen, Mingli Song, Zicheng Liu

Tags: Computer science, Image processing, Image reconstruction

December 15, 2010 by hgpu

High-quality cardiac image dynamic visualization with feature enhancement and virtual surgical tool inclusion

Qi Zhang, Roy Eagleson, Terry Peters

Tags: Image processing, Medicine, Surgical simulation

December 15, 2010 by hgpu

Real-time saliency-aware video abstraction

Hanli Zhao, Xiaoyang Mao, Xiaogang Jin, Jianbing Shen, Feifei Wei, Jieqing Feng

Tags: Image processing, Real-time graphics, Rendering

December 15, 2010 by hgpu

In vivo interactive visualization of four-dimensional blood flow patterns

Bernhard Kainz, Ursula Reiter, Gert Reiter, Dieter Schmalstieg

Tags: Image processing, Medicine, MRI, Visualization

December 15, 2010 by hgpu

A Parallel Mediated Reality Platform

Rosco Hill, James Fung and Steve Man

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Tags: Image processing, nVidia, nVidia GeForce FX 5900 Ultra, OpenGL, Visualization

December 15, 2010 by hgpu

A scalable GPU-based approach to shading and shadowing for photorealistic real-time augmented reality

Claus B. Madsen, Rune Laursen

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Tags: DirectX, Image processing, nVidia, nVidia GeForce 6800, Rendering, Visualization

December 15, 2010 by hgpu

GPU-based real-time acoustical occlusion modeling

Brent Cowan, Bill Kapralos

Tags: Signal processing

December 14, 2010 by hgpu

A GPU based real-time GPS software receiver

Thomas Hobiger, Tadahiro Gotoh, Jun Amagai, Yasuhiro Koyama, Tetsuro Kondo

Tags: CUDA, FFT, nVidia, Signal processing

December 14, 2010 by hgpu

A generic library for structured real-time computations: GPU implementation applied to retinal and cortical vision processes

Jean-Charles Quinton

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Tags: ATI, ATI Mobility Radeon 9700, Computer science, Computer vision, Image processing, OpenGL, Package

December 13, 2010 by hgpu

Orders-of-magnitude performance increases in GPU-accelerated correlation of images from the International Space Station

Peter Lu, Hidekazu Oki, Catherine Frey, Gregory Chamitoff, Leroy Chiao, Edward Fincke, C. Foale, Sandra Magnus, William McArthur, Daniel Tani, Peggy Whitson, Jeffrey Williams, William Meyer, Ronald Sicker, Brion Au, Mark Christiansen, Andrew Schofield, David Weitz

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Tags: CUDA, Image processing, Image registration, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 5800, Tesla C1060

December 13, 2010 by hgpu

Seeded ND medical image segmentation by cellular automaton on GPU

Claude Kauffmann, Nicolas Piche

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Tags: ATI, ATI Radeon HD 3970, ATI Radeon HD 4870, ATI Radeon X1950, Cellular automata, Cg, Image processing, Medicine, nVidia, nVidia GeForce 7950 GT, nVidia GeForce 9800 GT, nVidia GeForce GTX 260, OpenGL

December 13, 2010 by hgpu

Real-time anomaly detection in hyperspectral images using multivariate normal mixture models and GPU processing

Yuliya Tarabalka, Trym Haavardsholm, Ingebjorg Kasen, Torbjorn Skauli

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8800 Ultra

December 13, 2010 by hgpu

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

Kokkidio: Fast, expressive, portable code, based on Kokkos and Eigen

LLaMA-Inference-Bench

LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators

MATAR

On a Simplified Approach to Achieve Parallel Performance and Portability Across CPU and GPU Architectures

Over-synchronization in GPU Programs

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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