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Implementation of a distributed real-time video panorama pipeline for creating high quality virtual views

Ragnar Langseth

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 680, Thesis

May 12, 2014 by hgpu

Prototyping methodology of image processing applications on heterogeneous parallel systems

Jinglin Zhang

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Tags: Algorithms, CUDA, Heterogeneous systems, Image processing, nVidia, nVidia GeForce 7800 GT, nVidia GeForce 8800 GTX, nVidia GeForce GT 540 M, OpenCL, Thesis

March 17, 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

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

CUDA Enhanced Filtering in a Pipelined Video Processing Framework

Austin Aaron Dworaczyk Wiltshire

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Tags: CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 780, nVidia GeForce GTX Titan, Thesis

October 2, 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

Automatic Software Synthesis from High-Level ForSyDe Models Targeting Massively Parallel Processors

George Ungureanu

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Tags: Algorithms, Computer science, CUDA, Data parallelism, Heterogeneous systems, Image processing, nVidia, Thesis

September 25, 2013 by hgpu

Estimation of Skin Optical Parameters for Real-Time Hyperspectral Imaging Applications using GPGPU Parallel Computing

Asgeir Bjorgan

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Tags: Algorithms, CUDA, Image processing, Monte Carlo simulation, nVidia, nVidia Quadro FX 3700 M, OpenCV, Optics, Package, Physics, Thesis, Visualization

August 23, 2013 by hgpu

Fast Morphological Image Processing on GPU using CUDA

Mugdha A. Rane

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 480, Thesis

August 7, 2013 by hgpu

Image Processing with CUDA

Jia Jun Tse

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 260, Thesis

July 30, 2013 by hgpu

Fast Image Processing with Embedded Microprocessors

Guillermo Jesus Rafael Hernandez Gallegos

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Tags: Image processing, OpenCV, OpenGL, Thesis

July 27, 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

Implementation of a distributed real-time video panorama pipeline for creating high quality virtual views

Prototyping methodology of image processing applications on heterogeneous parallel systems

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

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

CUDA Enhanced Filtering in a Pipelined Video Processing Framework

GPU-Accelerated Real-Time Surveillance De-Weathering

Automatic Software Synthesis from High-Level ForSyDe Models Targeting Massively Parallel Processors

Estimation of Skin Optical Parameters for Real-Time Hyperspectral Imaging Applications using GPGPU Parallel Computing

Fast Morphological Image Processing on GPU using CUDA

Image Processing with CUDA

Fast Image Processing with Embedded Microprocessors

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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