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GPU Computing for Machine Learning Algorithms

Mauro Garofalo

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Tags: Algorithms, Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GT 540 M, Thesis

February 28, 2012 by hgpu

A GPU-based parallel algorithm for time series pattern mining

Tao Sun, Jian Sha, Lin Feng

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Tags: Algorithms, Computer science, CUDA, Data mining, nVidia, nVidia GeForce 9800 GTX

February 28, 2012 by hgpu

An improved implementation of Preconditioned Conjugate Gradient Method on GPU

Yechen Gui, Guijuan Zhang

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Tags: Algorithms, CUDA, Laplace and Poisson equation, nVidia, Optimization, Physics, Poisson equation, Sparse matrix

February 27, 2012 by hgpu

Simultaneous floating-point sine and cosine for VLIW integer processors

Claude-Pierre Jeannerod, Jingyan Jourdan-Lu

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Tags: Algorithms, Computer science, Programming techniques

February 27, 2012 by hgpu

Vortex particle method and parallel computing

Andrzej Kosior, Henryk Kudela

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Tags: Algorithms, Computer science, CUDA, Laplace and Poisson equation, nVidia, nVidia GeForce GTX 480, Poisson equation

February 26, 2012 by hgpu

A novel sorting algorithm for many-core architectures based on adaptive bitonic sort

Hagen Peters, Ole Schulz-Hildebrandt, Norbert Luttenberger

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Sorting

February 24, 2012 by hgpu

Stargazer: Automated Regression-Based GPU Design Space Exploration

Wenhao Jia, Kelly A. Shaw, Margaret Martonosi

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Tags: Algorithms, Computer science, CUDA, Design space exploration, nVidia, nVidia Quadro FX 5800

February 24, 2012 by hgpu

CUDA Implementation in the EM Scattering of a Three-Layer Canopy

W.-Q. Jiang, M. Zhang, H. Chen, Y.-G. Lu

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Tags: Algorithms, CUDA, Electrodynamics, nVidia, nVidia GeForce GTX 460

February 23, 2012 by hgpu

Efficient parallel implementation of the lattice Boltzmann method on large clusters of graphic processing units

Xiong QinGang, Li Bo, Xu Ji, Fang XiaoJian, Wang XiaoWei, Wang LiMin, He XianFeng, Ge Wei

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Tags: Algorithms, CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, MPI, Numerical simulation, nVidia, Tesla C2050

February 22, 2012 by hgpu

GPU-Based Iterative Relative Fuzzy Connectedness Image Segmentation

Ying Zhuge, Jayaram K. Udupa, Krzysztof C. Ciesielski, Alexandre X. Falcao, Paulo A. V. Miranda, Robert W. Miller

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Tags: Algorithms, CUDA, Image processing, nVidia, Tesla C1060

February 22, 2012 by hgpu

Image segmentation using CUDA implementations of the Runge-Kutta-Merson and GMRES methods

Tomas Oberhuber, Atsushi Suzuki, Jan Vacata, Vitezslav Zabka

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Tags: Algorithms, CUDA, Differential equations, Image processing, MRI, nVidia, nVidia GeForce GTX 480, ODEs, Ordinary differential equations, Partial differential equations, PDEs

February 22, 2012 by hgpu

Variants of Mersenne Twister Suitable for Graphic Processors

Mutsuo Saito, Makoto Matsumoto

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Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 120, nVidia GeForce GTX 260, Package, Pseudo-random number generators

February 21, 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 Computing for Machine Learning Algorithms

A GPU-based parallel algorithm for time series pattern mining

An improved implementation of Preconditioned Conjugate Gradient Method on GPU

Simultaneous floating-point sine and cosine for VLIW integer processors

Vortex particle method and parallel computing

A novel sorting algorithm for many-core architectures based on adaptive bitonic sort

Stargazer: Automated Regression-Based GPU Design Space Exploration

CUDA Implementation in the EM Scattering of a Three-Layer Canopy

Efficient parallel implementation of the lattice Boltzmann method on large clusters of graphic processing units

GPU-Based Iterative Relative Fuzzy Connectedness Image Segmentation

Image segmentation using CUDA implementations of the Runge-Kutta-Merson and GMRES methods

Variants of Mersenne Twister Suitable for Graphic Processors

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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