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GPU-to-GPU and Host-to-Host multipattern string matching on a GPU

Xinyan Zha, Sartaj Sahni

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Tags: Algorithms, Computer science, CUDA, nVidia, String matching, Tesla

August 3, 2012 by hgpu

GPU merge path: a GPU merging algorithm

Oded Green, Robert McColl, David A. Bader

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, Tesla C1060, Tesla C2070

August 1, 2012 by hgpu

GPU-Accelerated Non-negative Matrix Factorization for Text Mining

Volodymyr Kysenko, Karl Rupp, Oleksandr Marchenko, Siegfried Selberherr, Anatoly Anisimov

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Tags: Algorithms, ATI, ATI Radeon HD 6970, Computer science, Factorization, Nonnegative matrix factorization, nVidia, nVidia GeForce GTX 470, OpenCL, Text mining

August 1, 2012 by hgpu

Implementation and Evaluation of Recurrence Equation Solvers on GPGPU systems using Rearrangement of Array Configurations

Akiyoshi Wakatani

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Tags: Algorithms, Computer science, CUDA, nVidia, PC cluster, Tesla C1060

July 29, 2012 by hgpu

Acceleration of Variance of Color Differences-Based Demosaicing Using CUDA

Muhammad Ismail Faruqi, Fumihiko Ino, Kenichi Hagihara

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

July 28, 2012 by hgpu

Speeding up LIP-Canny with CUDA programming

Rafael Palomar, Jose M. Palomares, Joaquin Olivares, Jose M. Castillo, Juan Gomez-Luna

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9200 M GS

July 28, 2012 by hgpu

Efficient Implementation of the CPR Formulation for the Navier-Stokes Equations on GPUs

Malte Hoffmann, Claus-Dieter Munz, Z. J. Wang

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Tags: Algorithms, CUDA, Fluid dynamics, Graph theory, Navier-Stokes equations, NSEs, nVidia, Tesla C2050

July 26, 2012 by hgpu

Bidimensional Median Filter for Parallel Computing Architectures

Ricardo M. Sanchez, Paul A. Rodriguez

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Tags: Algorithms, Computational Complexity, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Sorting

July 26, 2012 by hgpu

Parallelization of Data Intensive Code Using Computer Unified Device Architecture (CUDA)

Bhardwaj Aditi, Bhardwaj Rohatash K., Shishir K. Gangwar

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Tags: Algorithms, Biology, CUDA, nVidia, RNA

July 26, 2012 by hgpu

A Splitting Algorithm for Directional Regularization and Sparsification

Lars Lau Raket, Mads Nielsen

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Tags: Algorithms, CUDA, Image processing, nVidia, Tesla C2050

July 24, 2012 by hgpu

GPU-based cellular automata simulations of laser dynamics

M.R. Lopez-Torres, J.L. Guisado, F. Jimenez-Morales, F. Diaz-del-Rio

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Tags: Algorithms, Cellular automata, CUDA, nVidia, nVidia GeForce 9500 GT, nVidia GeForce GTX 285, Physics

July 23, 2012 by hgpu

A Parallel Edge Preserving Algorithm for Salt and Pepper Image Denoising

M. Aldinucci, C. Spampinato, M. Drocco, M. Torquati, S. Palazzo

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Tags: Algorithms, CUDA, Image processing, nVidia, Signal denoising, Tesla C2050

July 23, 2012 by hgpu

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

An MLIR pipeline for offloading Fortran to FPGAs via OpenMP

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

GPU-to-GPU and Host-to-Host multipattern string matching on a GPU

GPU merge path: a GPU merging algorithm

GPU-Accelerated Non-negative Matrix Factorization for Text Mining

Implementation and Evaluation of Recurrence Equation Solvers on GPGPU systems using Rearrangement of Array Configurations

Acceleration of Variance of Color Differences-Based Demosaicing Using CUDA

Speeding up LIP-Canny with CUDA programming

Efficient Implementation of the CPR Formulation for the Navier-Stokes Equations on GPUs

Bidimensional Median Filter for Parallel Computing Architectures

Parallelization of Data Intensive Code Using Computer Unified Device Architecture (CUDA)

A Splitting Algorithm for Directional Regularization and Sparsification

GPU-based cellular automata simulations of laser dynamics

A Parallel Edge Preserving Algorithm for Salt and Pepper Image Denoising

Recent source codes

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

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