high performance computing on graphics processing units: hgpu.org

Programming

Creating Optimal Code for GPU-Accelerated CT Reconstruction Using Ant Colony Optimization

Eric Papenhausen, Ziyi Zheng, Klaus Mueller

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Tags: Algorithms, Computed tomography, CT, CUDA, Image processing, Image reconstruction, nVidia, nVidia GeForce GTX 480, Optimization

March 26, 2013 by hgpu

A Region Growing Segmentation Algorithm for GPUs

Patrick Nigri Happ, Raul Queiroz Feitosa, Cristiana Bentes, Ricardo Farias

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GTX 480

March 26, 2013 by hgpu

Hyperspectral Unmixing on GPUs and Multi-Core Processors: A Comparison

Sergio Bernabe, Sergio Sanchez, Antonio Plaza, Sebastian Lopez, Jon Atli Benediktsson, Roberto Sarmiento

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Tags: Algorithms, CUBLAS, CUDA, Image processing, nVidia, nVidia GeForce GTX 580, Tesla C1060

March 26, 2013 by hgpu

Recurrence quantification analysis in images with CUDA

Thiago de Lima Prado

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 460

March 24, 2013 by hgpu

Efficiently Mapping the AES Encryption Algorithm on GPUs

Wagner M. Nunan Zola, Luis C. Erpen De Bona

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Tags: AES, Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Security, Tesla C2060, Tesla M2050

March 24, 2013 by hgpu

Depth-First Search versus Jurema Search on GPU Branch-and-Bound Algorithms: a case study

Tiago Carneiro, Ricardo Nobre, Marcos Negreiros

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Optimization, Search strategies

March 23, 2013 by hgpu

Real-Time Implementation of the Pixel Purity Index Algorithm for Endmember Identification on GPUs

Xianyun Wu, Bormin Huang, Antonio Plaza, Yunsong Li, Chengke Wu

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Tags: Algorithms, Computational Complexity, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 590, Tesla C1060

March 23, 2013 by hgpu

Efficient GPU implementation of the integral histogram

Mahdieh Poostchi, Kannappan Palaniappan, Filiz Bunyak, Michela Becchi, Guna Seetharaman

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 460, Tesla C2070

March 21, 2013 by hgpu

GPGPU Test Suite Minimisation: Search Based Software Engineering Performance Improvement Using Graphics Cards

Shin Yoo, Mark Harman, Shmuel Ur

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Tags: Algorithms, ATI, ATI Radeon HD 4850, Computer science, Java, OpenCL, Software Engineering

March 21, 2013 by hgpu

Duplicate Detection on GPUs

Benedikt Forchhammer, Thorsten Papenbrock, Thomas Stening, Sven Viehmeier, Uwe Draisbach, Felix Naumann

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 570, OpenCL

March 21, 2013 by hgpu

Symbolic Crosschecking of Data-Parallel Floating Point Code

Peter Cyrus Collingbourne

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Source codes

Tags: Algorithms, Compilers, Computer science, nVidia, OpenCL, Package, Tesla C1060, Thesis

March 20, 2013 by hgpu

Multi-GPU Island-Based Genetic Algorithm

Namrata Mahakalkar, A. R. Mahajan

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Tags: Algorithms, Computer science, CUDA, Genetic programming, GPU cluster, nVidia, nVidia GeForce GTX 580

March 20, 2013 by hgpu

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

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

exa-AMD: Exascale Accelerated Materials Discovery

exa-AMD: An Exascale-Ready Framework for Accelerating the Discovery and Design of Functional Materials

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Creating Optimal Code for GPU-Accelerated CT Reconstruction Using Ant Colony Optimization

A Region Growing Segmentation Algorithm for GPUs

Hyperspectral Unmixing on GPUs and Multi-Core Processors: A Comparison

Recurrence quantification analysis in images with CUDA

Efficiently Mapping the AES Encryption Algorithm on GPUs

Depth-First Search versus Jurema Search on GPU Branch-and-Bound Algorithms: a case study

Real-Time Implementation of the Pixel Purity Index Algorithm for Endmember Identification on GPUs

Efficient GPU implementation of the integral histogram

GPGPU Test Suite Minimisation: Search Based Software Engineering Performance Improvement Using Graphics Cards

Duplicate Detection on GPUs

Symbolic Crosschecking of Data-Parallel Floating Point Code

Multi-GPU Island-Based Genetic Algorithm

Recent source codes

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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

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