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Cuda K-Nn: application to the segmentation of the retinal vasculature within SD-OCT volumes of mice

Wenxiang Deng

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 570

February 16, 2014 by hgpu

High-Performance Zonal Histogramming on Large-Scale Geospatial Rasters Using GPUs and GPU-Accelerated Clusters

Jianting Zhang, Dali Wang

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Tags: Cluster computing, CUDA, Image processing, nVidia, nVidia GeForce GTX Titan, Visualization

February 14, 2014 by hgpu

Fast 2-D Ultrasound Strain Imaging: The Benefits of Using a GPU

Tim Idzenga, Evghenii Gaburov, Willem Vermin, Jan Menssen, Chris L. de Korte

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Tags: Algorithms, CUDA, Image processing, nVidia, OpenMP, Package, Tesla K20, Ultrasound

February 8, 2014 by hgpu

State-Based Gauss-Seidel Framework for Real-time 2D Ultrasound Image Sequence Denoising on GPUs

Banpot Dolwithayakul, Chantana Chantrapornchai, Noppadol Chumchob

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 480, OpenMP, Ultrasound

February 8, 2014 by hgpu

A TBB-CUDA Implementation for Background Removal in a video-based Fire Detection System

Fan Wang, Xiao Jiang, Xiopeng Hu

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 210

February 1, 2014 by hgpu

Low-latency Image Recognition with GPU-accelerated Convolutional Networks for Web-based Services

Fu Jie Huang

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Tags: Cloud, CUDA, Image processing, Image recognition, nVidia, nVidia GeForce GTX 560 Ti, Thesis

January 26, 2014 by hgpu

Performance Evaluation of the Intel Many Integrated Core Architecture for 3D Image Reconstruction in Computed Tomography

Johannes Hofmann

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Tags: Algorithms, Computed tomography, CT, CUDA, Image processing, Image reconstruction, Intel Xeon Phi, Medicine, nVidia, nVidia GeForce GTX 680, Thesis, Tomography

January 25, 2014 by hgpu

GPU based Implementation of Film Flicker Reduction Algorithms

Martn Pineyro, Julieta Keldjian, Alvaro Pardo

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Tags: Algorithms, ATI, ATI Radeon HD 5650, Image processing, OpenCL

January 19, 2014 by hgpu

GPU Accelerated Vessel Segmentation Using Laplacian Eigenmaps

Lin Cheng, Hyunsu Cho, Peter A. Yoon

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Tags: CUDA, Image processing, nVidia, Package, Tesla K20

January 17, 2014 by hgpu

Efficient Parallel Video Processing Techniques on GPU: From Framework to Implementation

Huayou Su, Chunyuan Zhang, Mei Wen, Nan Wu

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Tags: Algorithms, CUDA, H.264/AVC, Image processing, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 460, Tesla C2050, Video encoding

January 17, 2014 by hgpu

Implementations of the Hough Transform on the Embedded Multicore Processors

Xin Zhou, Norihiro Tomagou, Yasuaki Ito, Koji Nakano

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Tags: CUDA, DSP, FPGA, Image processing, nVidia, nVidia GeForce GTX 680

January 11, 2014 by hgpu

Real Time KAP Systems for Image Enhancement/Reconstruction of Remote Sensing Imagery

A. Castillo Atoche, O. Palma Marrufo, R. Quijano Cetina, A. Espinosa-Romero, M. Maya Mendez

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTS 450, Sensing

January 9, 2014 by hgpu

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

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high performance computing on graphics processing units: hgpu.org

Cuda K-Nn: application to the segmentation of the retinal vasculature within SD-OCT volumes of mice

High-Performance Zonal Histogramming on Large-Scale Geospatial Rasters Using GPUs and GPU-Accelerated Clusters

Fast 2-D Ultrasound Strain Imaging: The Benefits of Using a GPU

State-Based Gauss-Seidel Framework for Real-time 2D Ultrasound Image Sequence Denoising on GPUs

A TBB-CUDA Implementation for Background Removal in a video-based Fire Detection System

Performance Evaluation of the Intel Many Integrated Core Architecture for 3D Image Reconstruction in Computed Tomography

GPU based Implementation of Film Flicker Reduction Algorithms

GPU Accelerated Vessel Segmentation Using Laplacian Eigenmaps

Efficient Parallel Video Processing Techniques on GPU: From Framework to Implementation

Implementations of the Hough Transform on the Embedded Multicore Processors

Real Time KAP Systems for Image Enhancement/Reconstruction of Remote Sensing Imagery

Recent source codes

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

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