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Parallel Optical Flow Detection Using CUDA

Khalid Hossen, Hasan Mahmud

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 660, nVidia GeForce GTX 780, Optical flow, Thesis

May 18, 2014 by hgpu

Real-time Image Processing on Low Cost Embedded Computers

Sunil Shah

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Tags: ARM, Computer vision, Image processing, OpenCV, Package, Performance, Thesis

May 15, 2014 by hgpu

Computer vision for continuous plankton monitoring

Damian Janusz Matuszewski

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Tags: Computer science, Computer vision, CUDA, Data acquisition, nVidia, nVidia GeForce GTX 480, OpenCV, Thesis

May 5, 2014 by hgpu

Automating a Labour Performance Measurement and Risk Assessment: An Evaluation of Methods for a Computer Vision based System

Donald Lloyd van Blommestein

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia GeForce 9600 GT, OpenCV, Thesis

April 24, 2014 by hgpu

CPU/GPGPU/HW comparison of an Eigenfaces face recognition system

Julio Camarero Mateo

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Tags: Computer science, Computer vision, CUDA, FPGA, nVidia, Tesla C2075, Thesis

March 17, 2014 by hgpu

Depth Map Based Superresolution Method in 3D Reconstruction

Gabriel Bernardino

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Tesla C1060, Thesis

February 5, 2014 by hgpu

Improved Sequential & Parallel Designs and Implementations of the Eight Direction Prewitt Edge Detection

Mohammed B. Mohammed

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Tags: Algorithms, Computer science, Computer vision, OpenCV, Pattern recognition, Thesis

December 31, 2013 by hgpu

GPU Accelerated Parallel Iris Localization

Abhishek Sinha

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Tags: Biometrics, Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia GeForce GT 410 M, nVidia GeForce GTX 460, Thesis

December 11, 2013 by hgpu

Accelerating Sequential Computer Vision Algorithms Using Commodity Parallel Hardware

Jacob (Jaap) van de Loosdrecht

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTX 560 Ti, OpenCL, Thesis

November 22, 2013 by hgpu

Performance Comparison of GPU, DSP and FPGA implementations of image processing and computer vision algorithms in embedded systems

Egil Fykse

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Tags: Benchmarking, Computer science, Computer vision, CUDA, DSP, FPGA, Image processing, nVidia, nVidia GeForce GTX 660 Ti, nVidia Quadro 1000 M, OpenCV, Performance, Thesis

October 15, 2013 by hgpu

GPU-Accelerated Real-Time Surveillance De-Weathering

Niklas Pettersson

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Tags: Computer science, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 680, Thesis

October 1, 2013 by hgpu

Accelerating Random Forests on CPUs and GPUs for Object-Class Image Segmentation

Benedikt Waldvogel

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Tags: Computer science, Computer vision, CUDA, Machine learning, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 690, nVidia GeForce GTX Titan, Package, Tesla K20, Thesis

August 16, 2013 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

Theses

Parallel Optical Flow Detection Using CUDA

Real-time Image Processing on Low Cost Embedded Computers

Computer vision for continuous plankton monitoring

Automating a Labour Performance Measurement and Risk Assessment: An Evaluation of Methods for a Computer Vision based System

CPU/GPGPU/HW comparison of an Eigenfaces face recognition system

Depth Map Based Superresolution Method in 3D Reconstruction

Improved Sequential & Parallel Designs and Implementations of the Eight Direction Prewitt Edge Detection

GPU Accelerated Parallel Iris Localization

Accelerating Sequential Computer Vision Algorithms Using Commodity Parallel Hardware

Performance Comparison of GPU, DSP and FPGA implementations of image processing and computer vision algorithms in embedded systems

GPU-Accelerated Real-Time Surveillance De-Weathering

Accelerating Random Forests on CPUs and GPUs for Object-Class Image Segmentation

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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