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Implementation and Optimization of Image Processing Algorithms on Embedded GPU

Nitin Singhal, Jin Woo Yoo, Ho Yeol Choi, In Kyu Park

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Tags: Algorithms, ARM, Computer vision, Image processing, OpenGL, Optimization, Rendering

May 7, 2012 by hgpu

Diderot: A Parallel DSL for Image Analysis and Visualization

Charisee Chiw, Gordon Kindlmann, John Reppy, Lamont Samuels, Nick Seltzer

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Tags: Image processing, nVidia, OpenCL, Package, Programming Languages, Visualization

May 2, 2012 by hgpu

Graphics Processing Unit Audio Signals Processing in Pure Data and PdCUDA an Implementation with the CUDA Runtime API

Charles Z. Henry

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Tags: Acoustics, CUDA, nVidia, Signal processing

May 1, 2012 by hgpu

Random Walks based Multi-Image Segmentation: Quasiconvexity Results and GPU-based Solutions

Maxwell D. Collins, Jia Xu, Leo Grady, Vikas Singh

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Tags: Algorithms, CUDA, Image processing, Linear Algebra, nVidia, nVidia GeForce GTX 470, Optimization

April 28, 2012 by hgpu

The AGILE library for image reconstruction in biomedical sciences using graphics card hardware acceleration

Manuel Freiberger, Florian Knoll, Kristian Bredies, Hermann Scharfetter, Rudolf Stollberger

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Tags: Algorithms, CUDA, Image processing, Image reconstruction, Magnetic resonance imaging, Medicine, MRI, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 480, Package, Tomography

April 28, 2012 by hgpu

Radio Astronomy Beam Forming on Many-Core Architectures

Alessio Sclocco, Ana Lucia Varbanescu, Jan David Mol, Rob V. van Nieuwpoort

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Tags: Astrophysics, ATI, ATI Radeon HD 6970, CUDA, nVidia, nVidia GeForce GTX 580, OpenCL, Signal processing

April 25, 2012 by hgpu

High-Efficient Parallel CAVLC Encoders on Heterogeneous Multicore Architectures

Huayou Su, Mei Wen, Ju Ren, Nan Wu, Jun Chai, Chunyuan Zhang

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Tags: CUDA, DSP, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 260

April 23, 2012 by hgpu

Image Convolution Processing: a GPU versus FPGA Comparison

Lucas M. Russo, Emerson C. Pedrino, Edilson Kato, Valentin Obac Roda

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Tags: CUDA, FPGA, Image processing, nVidia, nVidia GeForce GTX 295, Performance

April 21, 2012 by hgpu

GPU computing in medical physics: A review

Guillem Pratx, Lei Xing

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Tags: CUDA, Image processing, Image reconstruction, Medical Physics, Medicine, nVidia, Review

April 19, 2012 by hgpu

Programming issues for video analysis on Graphics Processing Units

Juan Gomez Luna

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Signal processing, Thesis

April 12, 2012 by hgpu

Image Processing on Graphical Processing Units for faster DNA Sequencing

Joep Schreurs

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Tags: Algorithms, CUDA, Image processing, Image registration, nVidia, nVidia GeForce GTX 470

April 5, 2012 by hgpu

Depth Estimation using Open Compute Language (OpenCL)

Giovanni Visentini, Amit Gupta

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Tags: Algorithms, Computational Complexity, Image processing, nVidia, nVidia Quadro NVS 295, OpenCL

April 4, 2012 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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

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high performance computing on graphics processing units: hgpu.org

Applications

Implementation and Optimization of Image Processing Algorithms on Embedded GPU

Diderot: A Parallel DSL for Image Analysis and Visualization

Graphics Processing Unit Audio Signals Processing in Pure Data and PdCUDA an Implementation with the CUDA Runtime API

Random Walks based Multi-Image Segmentation: Quasiconvexity Results and GPU-based Solutions

The AGILE library for image reconstruction in biomedical sciences using graphics card hardware acceleration

Radio Astronomy Beam Forming on Many-Core Architectures

High-Efficient Parallel CAVLC Encoders on Heterogeneous Multicore Architectures

Image Convolution Processing: a GPU versus FPGA Comparison

GPU computing in medical physics: A review

Programming issues for video analysis on Graphics Processing Units

Image Processing on Graphical Processing Units for faster DNA Sequencing

Depth Estimation using Open Compute Language (OpenCL)

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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

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