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Accounting for Uncertainty in Medical Data: A CUDA Implementation of Normalized Convolution

Stefan Lindholm, Joel Kronander

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Tags: CUDA, Image generation, Image processing, Medicine, nVidia, nVidia GeForce GTX 560 Ti, Signal processing

January 26, 2012 by hgpu

Visual Data Mining Using the Point Distribution Tensor

Marcel Ritter, Werner Benger, Biagio Cosenza, Keera Pullman, Hans Moritsch, Wolfgang Leimer

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Tags: Algorithms, Data mining, Geoscience, Image processing, nVidia, nVidia Quadro FX 3800 M, OpenCL, Visualization

January 26, 2012 by hgpu

Parallel SIFT-detector implementation for images matching

Anton I. Vasilyev, Andrey A. Boguslavskiy, Sergey M. Sokolov

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

January 24, 2012 by hgpu

A Computationally Efficient Approach for Exemplar-based Color Image Inpainting using GPU

Dibyam Pradhan, Naveen M., Sai Hareesh A., Pallav Kumar Baruah, Venkatachalam Chandrasekaran

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GT 310 M, Tesla C2050

January 23, 2012 by hgpu

Convolution of large 3D images on GPU and its decomposition

Pavel Karas, David Svoboda

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Tags: Algorithms, CUDA, FFT, Image processing, nVidia, nVidia GeForce GTX 295

January 23, 2012 by hgpu

Object Oriented Framework for CUDA based Pyramidal Image Blending

Pritam Prakash Shete, Venkat P. P. K., Dinesh M. Sarode, Mohini Laghate, S. K. Bose, A. G. Apte

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia Quadro FX 4600

January 23, 2012 by hgpu

Real-time Compressive Sensing MRI Reconstruction using GPU Computing and Split Bregman Methods

David S. Smith, John. C. Gore, Thomas E. Yankeelov, E. Brian Welch

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Tags: Algorithms, CUDA, Image processing, MRI, nVidia, Tesla C2050

January 23, 2012 by hgpu

Plenoptic Rendering With Interactive Performance Using GPUs

Andrew Lumsdaine, Georgi Chunev, Todor Georgiev

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Tags: Algorithms, Image processing, nVidia, nVidia Quadro FX 5600, OpenGL, Rendering

January 21, 2012 by hgpu

Stochastic Progressive Photon Mapping for Dynamic Scenes

Maayan Weiss, Thorsten Grosch

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Tags: 3D Graphics and Realism, Algorithms, Image processing, nVidia, nVidia GeForce GTX 285

January 20, 2012 by hgpu

Efficient fMRI Analysis and Clustering on GPUs

B.E. Dharneesh Talasu

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Tags: Clustering, CUDA, Heterogeneous systems, Hierarchical clustering, Image processing, Medicine, MRI, nVidia, nVidia GeForce 9400 M, Thesis

January 20, 2012 by hgpu

Coherent Spatiotemporal Filtering, Upsampling and Rendering of RGBZ Videos

Christian Richardt, Carsten Stoll, Neil A. Dodgson, Hans-Peter Seidel, Christian Theobalt

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Filtering, Image processing, Rendering

January 20, 2012 by hgpu

GPU Accelerated Registration of a Statistical Shape Model of the Lumbar Spine to 3D Ultrasound Images

Siavash Khallaghi, Purang Abolmaesumi, Ren Hui Gong, Elvis Chen, Sean Gill, Jonathan Boisvert, David Pichora, Dan Borschneck, Gabor Fichtinger, Parvin Mousavi

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 285, Optimization, Ultrasound

January 18, 2012 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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