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Linear Feature Detection on GPUs

L. Domanski, Changming Sun, R. Hassan, P. Vallotton, Dadong Wang

Tags: Filtering, Image processing, Image recognition

May 31, 2011 by hgpu

A High Performance Image Authentication Algorithm on GPU with CUDA

Caiwei Lin, Lei Zhao, Jiwen Yang

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Tags: CUDA, Image processing, Image registration, nVidia, Security, Tesla C1060

May 31, 2011 by hgpu

Accelerating Multi-scale Image Fusion Algorithms Using CUDA

Seung-Hun Yoo, Jin-Hyung Park, Chang-Sung Jeong

Tags: Algorithms, CUDA, Image processing, nVidia, Wavelet

May 31, 2011 by hgpu

Parallel Iteration to the Radiative Transport in Inhomogeneous Media with Bootstrapping

Laszlo Szirmay-Kalos, Gabor Liktor, Tamas Umenhoffer, Balazs Toth, Shree Kumar, Glenn Lupton

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Tags: CUDA, GPU cluster, Image processing, Image reconstruction, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GTX

May 31, 2011 by hgpu

Distributed time, conservative parallel logic simulation on GPUs

Bo Wang, Yuhao Zhu, Yangdong Deng

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Tags: Computer science, CUDA, Electronic design automation, Hardware Architecture, nVidia, nVidia GeForce GTX 280, Performance

May 31, 2011 by hgpu

Highly efficient mapping of the Smith-Waterman algorithm on CUDA-compatible GPUs

K. Dohi, K. Benkridt, C. Ling, T. Hamada, Y. Shibata

Tags: Bioinformatics, Biology, CUDA, nVidia, Sequence alignment, Smith-Waterman algorithm

May 31, 2011 by hgpu

Connected component identification and cluster update on GPU

Martin Weigel

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Physics, Statistical Mechanics, Tesla M2070

May 31, 2011 by hgpu

Parallel ant colony for nonlinear function optimization with graphics hardware acceleration

Weihang Zhu, J. Curry

Tags: Algorithms, Computer science, Nonlinear optimization, Optimization, Pattern Search, Performance

May 30, 2011 by hgpu

A Compute Unified System Architecture for Graphics Clusters Incorporating Data Locality

Christoph Muller, Steffen Frey, Magnus Strengert, Carsten Dachsbacher, Thomas Ertl

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, nVidia Quadro FX 5600, Performance

May 30, 2011 by hgpu

A Micro-benchmark Suite for AMD GPUs

Ryan Taylor, Xiaoming Li

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Tags: ATI, ATI IL, ATI Stream, Benchmarking, Computer science, Presentation, Review, RV770, RV870

May 30, 2011 by hgpu

Real-Time Rendering and Manipulation of Large Terrains

Shiben Bhattacharjee, Suryakant Patidar, P. J. Narayanan

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Tags: Computer science, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Real-time graphics, Rendering

May 30, 2011 by hgpu

Fast Parallel Markov Clustering in Bioinformatics Using Massively Parallel Graphics Processing Unit Computing

Alhadi Bustamam, Kevin Burrage, Nicholas A. Hamilton

Tags: Bioinformatics, Biology, CUDA, MPI, nVidia, Sparse matrix

May 30, 2011 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

Applications

Linear Feature Detection on GPUs

A High Performance Image Authentication Algorithm on GPU with CUDA

Accelerating Multi-scale Image Fusion Algorithms Using CUDA

Parallel Iteration to the Radiative Transport in Inhomogeneous Media with Bootstrapping

Distributed time, conservative parallel logic simulation on GPUs

Highly efficient mapping of the Smith-Waterman algorithm on CUDA-compatible GPUs

Connected component identification and cluster update on GPU

Parallel ant colony for nonlinear function optimization with graphics hardware acceleration

A Compute Unified System Architecture for Graphics Clusters Incorporating Data Locality

A Micro-benchmark Suite for AMD GPUs

Real-Time Rendering and Manipulation of Large Terrains

Fast Parallel Markov Clustering in Bioinformatics Using Massively Parallel Graphics Processing Unit Computing

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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