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Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism

Fei Wang, Jianqiang Dong, Bo Yuan

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla K20

July 27, 2013 by hgpu

Implementation of 2-D Discrete Cosine Transform Algorithm on GPU

Shivang Ghetia, Nagendra Gajjar, Ruchi Gajjar

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, Tesla C2075

July 27, 2013 by hgpu

GPU Parallel Algorithms for Reporting Movement Behaviour Patterns in Spatiotemporal Databases

Nacho Valladares Cereceda

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Tags: Algorithms, Computer science, CUDA, Data mining, Databases, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Thesis

July 27, 2013 by hgpu

A unified sparse matrix data format for modern processors with wide SIMD units

Moritz Kreutzer, Georg Hager, Gerhard Wellein, Holger Fehske, Alan R. Bishop

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Intel Phi, Mathematical Software, nVidia, Sparse matrix, Tesla K20

July 25, 2013 by hgpu

Fast Exhaustive Search for Quadratic Systems in F2 on FPGAs – Extended Version

Charles Bouillaguet, Chen-Mou Cheng, Tung Chou, Ruben Niederhagen, Bo-Yin Yang

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Tags: Algorithms, Computer science, FPGA, Security

July 25, 2013 by hgpu

PRAND: GPU accelerated parallel random number generation library: Using most reliable algorithms and applying parallelism of modern GPUs and CPUs

L.Yu. Barash, L.N. Shchur

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Source codes

Tags: Algorithms, Computational Physics, Computer science, CUDA, Mathematical Software, nVidia, Package, Pseudo-random number generators, Tesla C2050

July 25, 2013 by hgpu

Parallel Implementation of Texture Based Image Retrieval 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

July 24, 2013 by hgpu

CDFC: Collision Detection Based on Fuzzy Clustering for Deformable Objects on GPU’s

David Mainzer, Gabriel Zachmann

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Tags: Algorithms, Clustering, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

July 24, 2013 by hgpu

OpenCL simulations of two-fluid compressible flows with a random choice method

Philippe Helluy, Jonathan Jung

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Tags: Algorithms, ATI, ATI Radeon HD 5850, ATI Radeon HD 7970, Fluid dynamics, nVidia, nVidia GeForce GT 320 M, nVidia GeForce GTX 280, OpenCL

July 22, 2013 by hgpu

Automatic Generation of FFT Libraries for GPU Platforms

Christos Angelopoulos

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 260, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Thesis

July 22, 2013 by hgpu

Detecting parametric objects in large scenes by Monte Carlo sampling

Yannick Verdie, Florent Lafarge

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia Quadro FX 4800

July 21, 2013 by hgpu

Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming

Simon Marlow

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Tags: Algorithms, Book, Computer science, Haskell

July 21, 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

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high performance computing on graphics processing units: hgpu.org

Programming

Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism

Implementation of 2-D Discrete Cosine Transform Algorithm on GPU

GPU Parallel Algorithms for Reporting Movement Behaviour Patterns in Spatiotemporal Databases

A unified sparse matrix data format for modern processors with wide SIMD units

Fast Exhaustive Search for Quadratic Systems in F2 on FPGAs – Extended Version

PRAND: GPU accelerated parallel random number generation library: Using most reliable algorithms and applying parallelism of modern GPUs and CPUs

Parallel Implementation of Texture Based Image Retrieval on The GPU

CDFC: Collision Detection Based on Fuzzy Clustering for Deformable Objects on GPU’s

OpenCL simulations of two-fluid compressible flows with a random choice method

Automatic Generation of FFT Libraries for GPU Platforms

Detecting parametric objects in large scenes by Monte Carlo sampling

Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming

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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