high performance computing on graphics processing units: hgpu.org

Programming

Numerical Simulation of the Frank-Kamenetskii PDE: GPU vs. CPU Computing

Charis Harley

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Tags: Algorithms, CUDA, Differential equations, Mathematics, Numerical simulation, nVidia, Partial differential equations, PDEs

November 1, 2012 by hgpu

Efficient Pattern-Based Time Series Classification on GPU

Kai-Wei Chang, Biplab Deka, Wen-Mei W. Hwu, Dan Roth

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

October 31, 2012 by hgpu

Parallel Genetic Programming on Graphics Processing Units

Douglas A. Augusto, Heder S. Bernardino, Helio J.C. Barbosa

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Tags: Algorithms, Computer science, Genetic programming, OpenCL, Optimization, Review

October 31, 2012 by hgpu

A Contour-Guided Deformable Image Registration Algorithm for Adaptive Radiotherapy

Xuejun Gu, Bin Dong, Jing Wang, John Yordy, Loren Mell, Xun Jia, Steve B. Jiang

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

October 31, 2012 by hgpu

Acceleration of Distance-to-Default with GPU

Xin Lou

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Tags: Algorithms, CUDA, Finance, nVidia, nVidia GeForce GTX 460, Thesis

October 30, 2012 by hgpu

Exploring computational capabilities of GPUs using H.264 prediction algorithms

Magnus Funder Halldal

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Tags: Algorithms, CUDA, H.264/AVC, Image processing, nVidia, nVidia GeForce GTX 280, Thesis

October 29, 2012 by hgpu

Silhouette Extraction using Graphics Processing Units

Kristian Haga Karstensen

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Source codes

Tags: Algorithms, Computer vision, Image processing, nVidia, nVidia GeForce GTX 460, OpenCL, Optimization, Package, Thesis

October 29, 2012 by hgpu

Historygrams: Enabling Interactive Global Illumination in Direct Volume Rendering using Photon Mapping

Daniel Jonsson, Joel Kronander, Timo Ropinski, Anders Ynnerman

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 570, Rendering

October 28, 2012 by hgpu

Artifact-Free Decompression and Zooming of JPEG Compressed Images with Total Generalized Variation

Kristian Bredies, Martin Holler

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, nVidia Quadro FX 3700

October 26, 2012 by hgpu

A structural analysis of the A5/1 state transition graph

Andreas Beckmann, Jaroslaw Fedorowicz, Jorg Keller, Ulrich Meyer

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 580, Security, Stream Ciphers, Tesla C1060

October 25, 2012 by hgpu

Large-scale Monte Carlo simulation of two-dimensional classical XY model using multiple GPUs

Yukihiro Komura, Yutaka Okabe

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Tags: Algorithms, Condensed matter, CUDA, GPU cluster, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, Physics, Statistical Mechanics

October 24, 2012 by hgpu

Overdetermined Shooting Methods for Computing Standing Water Waves with Spectral Accuracy

Jon Wilkening, Jia Yu

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Tags: Algorithms, CUDA, Extended precision, Fluid dynamics, nVidia, Tesla M2050

October 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

* * *

high performance computing on graphics processing units: hgpu.org

Programming

Numerical Simulation of the Frank-Kamenetskii PDE: GPU vs. CPU Computing

Efficient Pattern-Based Time Series Classification on GPU

Parallel Genetic Programming on Graphics Processing Units

A Contour-Guided Deformable Image Registration Algorithm for Adaptive Radiotherapy

Acceleration of Distance-to-Default with GPU

Exploring computational capabilities of GPUs using H.264 prediction algorithms

Silhouette Extraction using Graphics Processing Units

Historygrams: Enabling Interactive Global Illumination in Direct Volume Rendering using Photon Mapping

Artifact-Free Decompression and Zooming of JPEG Compressed Images with Total Generalized Variation

A structural analysis of the A5/1 state transition graph

Large-scale Monte Carlo simulation of two-dimensional classical XY model using multiple GPUs

Overdetermined Shooting Methods for Computing Standing Water Waves with Spectral Accuracy

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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