high performance computing on graphics processing units: hgpu.org

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An improved parallel contrast-aware halftoning

Ling-yue Liu, Wei Chen, Tien-tsin Wong, Wen-ting Zheng, Wei-dong Geng

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

November 22, 2013 by hgpu

An Optimal Offline Permutation Algorithm on the Hierarchical Memory Machine, with the GPU implementation

Akihiko Kasagi, Koji Nakano, and Yasuaki Ito

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

November 22, 2013 by hgpu

An implicit multigrid solver for high-order compressible flow simulations on GPUs

V. Esfahanian, M. Hedayat, B. Baghapour, M. Torabzadeh, S.J. Hosseini

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Tags: Algorithms, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 480

November 19, 2013 by hgpu

GPGPU-accelerated Interesting Interval Discovery and other Computations on GeoSpatial Datasets – A Summary of Results

Sushil K. Prasad, Shashi Shekhar, Michael McDermott, Xun Zhou, Michael Evans, Satish Puri

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Tags: Algorithms, CUDA, Earth and Space Sciences, Image processing, nVidia, nVidia GeForce GTX 480, OpenGL

November 17, 2013 by hgpu

Implementation of Diamond Search Algorithm Using Parallel Processing Architecture

K. Shuma Roshini, M. Tejaswi

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, nVidia GeForce GT 610, Video encoding

November 17, 2013 by hgpu

Fast Diameter Computation of Large Sparse Graphs using GPUs

Giso H. Dal, Walter A. Kosters, Frank W. Takes

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 480

November 17, 2013 by hgpu

Parallel Implementation of Color Based Image Retrieval Using CUDA on the GPU

Hadis Heidari, Abdolah Chalechale, Alireza Ahmadi Mohammadabadi

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GT 610 M

November 17, 2013 by hgpu

Ray-Tracing Based Interactive Camera Simulation

Damon Shing-Min Liu, Che-Wei Hsu

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Tags: Algorithms, Computer science, nVidia, nVidia Quadro 600, OpenGL, Optics, Raytracing, Rendering

November 16, 2013 by hgpu

A Fast GVF Snake Algorithm on the GPU

Zuoyong Zheng, Ruixia Zhang

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Tags: Algorithms, Computer science, Edge detection, GLSL, nVidia, nVidia GeForce GT 240, OpenGL

November 16, 2013 by hgpu

SAGE: Self-Tuning Approximation for Graphics Engines

Mehrzad Samadi, Janghaeng Lee, D. Anoushe Jamshidi, Amir Hormati, Scott Mahlke

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Tags: Algorithms, Code generation, Compilers, CUDA, Image processing, Machine learning, nVidia, nVidia GeForce GTX 560, Performance

November 14, 2013 by hgpu

Optical Flow via Locally Adaptive Fusion of Complementary Data Costs

Tae Hyun Kim, Hee Seok Lee, Kyoung Mu Lee

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Optical flow

November 14, 2013 by hgpu

Utilizing massive parallelism in decoding of modern error-correcting codes for accelerating communication systems simulations

Eugen Ruzicky, Markus Rupp, Peter Farkas, Atilio Gameiro

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

November 13, 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

An improved parallel contrast-aware halftoning

An Optimal Offline Permutation Algorithm on the Hierarchical Memory Machine, with the GPU implementation

An implicit multigrid solver for high-order compressible flow simulations on GPUs

GPGPU-accelerated Interesting Interval Discovery and other Computations on GeoSpatial Datasets – A Summary of Results

Implementation of Diamond Search Algorithm Using Parallel Processing Architecture

Fast Diameter Computation of Large Sparse Graphs using GPUs

Parallel Implementation of Color Based Image Retrieval Using CUDA on the GPU

Ray-Tracing Based Interactive Camera Simulation

A Fast GVF Snake Algorithm on the GPU

SAGE: Self-Tuning Approximation for Graphics Engines

Optical Flow via Locally Adaptive Fusion of Complementary Data Costs

Utilizing massive parallelism in decoding of modern error-correcting codes for accelerating communication systems simulations

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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