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GPU implementation of a deep learning network for image recognition tasks

Sean Patrick Parker

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Tags: Computer science, Computer vision, CUDA, Image recognition, Machine learning, nVidia, Thesis

March 12, 2013 by hgpu

Parallelization Research of Circle Detection Based on Hough Transform

Suping Wu, Xiangjiao Liu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260

March 12, 2013 by hgpu

Comprehensive Analysis of High-Performance Computing Methods for Filtered Back-Projection

Christian B. Mendl, Steven Eliuk, Michelle Noga, Pierre Boulanger

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Tags: Computed tomography, CT, CUDA, DirectX, Filtering, HLSL, Medicine, nVidia, nVidia Quadro FX 4000, Tomography

March 12, 2013 by hgpu

Parallel spatial data structures for interactive rendering

Ismael Garcia Fernandez

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Tags: 3D Graphics and Realism, Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 480, Rendering, Thesis

March 12, 2013 by hgpu

A Scalable Heterogeneous Parallelization Framework for Iterative Local Searches

Martin Burtscher, Hassan Rabeti

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Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, Search, Tesla M2090

March 12, 2013 by hgpu

3D Modeling, Distance and Gradient Computation for Motion Planning: A Direct GPGPU Approach

Rene Wagner, Udo Frese, Berthold Bauml

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680

March 12, 2013 by hgpu

Automatic efficient data layout for multithreaded stencil codes on CPUs and GPUs

Julien Jaeger, Denis Barthou

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia Quadro FX 5800

March 12, 2013 by hgpu

Morph Algorithms on GPUs

Rupesh Nasre, Martin Burtscher, Keshav Pingali

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Performance, Programming techniques, Tesla C2070

March 12, 2013 by hgpu

Speeding Up Model Building for ECGA on CUDA Platform

Chung-Yu Shao, Tian-Li Yu

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, Neural and Evolutionary Computing, nVidia, Tesla C2050

March 9, 2013 by hgpu

Signal Processing and General Purpose Computing on GPU

Muge Guher

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Tags: CUDA, nVidia, Signal processing, Tesla C2050

March 9, 2013 by hgpu

Detecting Computer Viruses using GPUs

Alexandre Nuno Vicente Dias

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Tags: Algorithms, Computer science, CUDA, nVidia, Security, String matching, Tesla C2050, Thesis

March 9, 2013 by hgpu

CU2rCU: A CUDA-to-rCUDA Converter

Carlos Reano Gonzalez

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Tags: Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Tesla C1060, Tesla C2050, Thesis

March 9, 2013 by hgpu

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

HPC Benchmark Survey

An HPC Benchmark Survey and Taxonomy for Characterization

HDM: Home made Diffusion Models

Home-made Diffusion Model from Scratch to Hatch

General Matrix Multiplication (GEMM)

High Performance Matrix Multiplication

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

GPU implementation of a deep learning network for image recognition tasks

Parallelization Research of Circle Detection Based on Hough Transform

Comprehensive Analysis of High-Performance Computing Methods for Filtered Back-Projection

Parallel spatial data structures for interactive rendering

A Scalable Heterogeneous Parallelization Framework for Iterative Local Searches

3D Modeling, Distance and Gradient Computation for Motion Planning: A Direct GPGPU Approach

Automatic efficient data layout for multithreaded stencil codes on CPUs and GPUs

Morph Algorithms on GPUs

Speeding Up Model Building for ECGA on CUDA Platform

Signal Processing and General Purpose Computing on GPU

Detecting Computer Viruses using GPUs

CU2rCU: A CUDA-to-rCUDA Converter

Recent source codes

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

TRUST: a thermalhydraulic software package for CFD simulations

Modular: The Modular Platform (includes MAX & Mojo)

Allo: Accelerator Design Language

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

HPC Benchmark Survey

HDM: Home made Diffusion Models

General Matrix Multiplication (GEMM)

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