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An Implementation of the Discontinuous Galerkin Method on Graphics Processing Units

Martin Fuhry

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Tags: Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 580, Package, Partial differential equations, PDEs, Thesis

May 11, 2013 by hgpu

Somoclu: An Efficient Distributed Library for Self-Organizing Maps

Peter Wittek

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Tags: Computer science, CUDA, Mathematical Software, MPI, Neural and Evolutionary Computing, nVidia, Package, Self-organizing map, Tesla M2050, Text mining

May 8, 2013 by hgpu

Split tiling for GPUs: automatic parallelization using trapezoidal tiles

Tobias Grosser, Albert Cohen, Paul H J Kelly, J. Ramanujam, P. Sadayappan, Sven Verdoolaege

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, nVidia Quadro NVS 5200 M, Package, Performance

April 29, 2013 by hgpu

High Performance Computing with GPUs

Nikita Vakulin, Riley Shaw, Timothy Livingston

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Tags: Computer science, CUDA, Differential equations, Finite element method, nVidia, Package

April 25, 2013 by hgpu

Directive-based Approach to Heterogeneous Computing

Ruyman Reyes Castro

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenACC, OpenCL, Package, Python, Tesla C1060, Thesis

April 25, 2013 by hgpu

Solving Wave Equations on Unstructured Geometries

Andreas Klockner, Timothy Warburton, Jan S. Hesthaven

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Tags: Computer science, Mathematical Software, Numerical Analysis, nVidia, nVidia GeForce GTX 295, OpenCL, Package, Python, Wave equation

April 23, 2013 by hgpu

GPU Scripting and Code Generation with PyCUDA

Andreas Klockner, Nicolas Pinto, Bryan Catanzaro, Yunsup Lee, Paul Ivanov, Ahmed Fasih

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Tags: Code generation, Computer science, CUDA, nVidia, OpenCL, Package, PyOpenCL, Python

April 23, 2013 by hgpu

SW# – GPU enabled exact alignments on genome scale

Matija Korpar, Mile Sikic

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Tags: Bioinformatics, Biology, Computer science, CUDA, nVidia, nVidia GeForce GTX 560, nVidia GeForce GTX 570, nVidia GeForce GTX 690, Package, Sequence alignment, Smith-Waterman algorithm

April 23, 2013 by hgpu

MrBayes tgMC3: A Tight GPU Implementation of MrBayes

Cheng Ling, Tsuyoshi Hamada, Jianing Bai, Xianbin Li, Douglas Chesters, Weimin Zheng, Weifeng Shi

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Tags: Algorithms, Bayesian, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package

April 18, 2013 by hgpu

OpenCL Fast Fourier Transform

Ruobing Li

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Tags: Computer science, FFT, nVidia, OpenCL, Package, Tesla M2070

April 9, 2013 by hgpu

Atomic-free Irregular Computations on GPUs

Rupesh Nasre, Martin Burtscher, Keshav Pingali

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

April 7, 2013 by hgpu

Adapting Particle Filter Algorithms to Many-Core Architectures

Mehdi Chitchian, Alexander S. van Amesfoort, Andrea Simonetto, Tamas Keviczky, Henk J. Sips

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Tags: Algorithms, ATI, ATI Radeon HD 6970, ATI Radeon HD 7970, Bayesian, Computer science, Computer vision, CUDA, Filtering, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, OpenCL, Package, Particle filtering

April 4, 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

Applications

An Implementation of the Discontinuous Galerkin Method on Graphics Processing Units

Somoclu: An Efficient Distributed Library for Self-Organizing Maps

Split tiling for GPUs: automatic parallelization using trapezoidal tiles

High Performance Computing with GPUs

Directive-based Approach to Heterogeneous Computing

Solving Wave Equations on Unstructured Geometries

GPU Scripting and Code Generation with PyCUDA

SW# – GPU enabled exact alignments on genome scale

MrBayes tgMC3: A Tight GPU Implementation of MrBayes

OpenCL Fast Fourier Transform

Atomic-free Irregular Computations on GPUs

Adapting Particle Filter Algorithms to Many-Core Architectures

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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